Getting Real Real Time Data Integration Patterns and Architectures

Size: px
Start display at page:

Download "Getting Real Real Time Data Integration Patterns and Architectures"

Transcription

1 Getting Real Real Time Data Integration Patterns and Architectures Nelson Petracek Senior Director, Enterprise Technology Architecture Informatica Digital Government Institute s Enterprise Architecture Conference, May 1, 2014, Washington, DC

2 The World has Changed

3 User Expectations MORE AGILITY RIGHT Time Immediate Response Times All Data INSTANT TRUST PROACTIV E vs. REACTIVE 100% Uptime One Place Self- Service Fresh Information

4 Representative Use Cases Sensor Monitoring Customer Interaction Security Asset Optimization

5 Changing Perspectives on Data It is no longer sufficient to view information after the fact. Business demands information sooner, with more accuracy, in order to meet competitive and regulatory demands. Business needs to respond to threats and opportunities sooner. Reduce decision latency. Proactive alerts and notifications. Improve TTA (time to answer).

6 Traditional Data Management Approaches Act Analyze Data Integratio n EDW BI Store Valuable for: Reporting Historical Activity Strategic Analysis

7 The Challenges with Traditional Approaches Act Analyze Store Takes too long to deliver what is needed. Lots of wait and waste in the process. No common and trusted data access. Information is missing or is stale / delayed. Too much decision latency.

8 Next Generation Data Integration Real-Time Design Patterns and Architectural Approaches

9 A Shift in Thinking is Needed Need to shift from building large, monolithic applications to smaller sets of distributed micro-applications based on the principles of Reactive Applications *. Resilient Scalable Event Driven Responsive Move away from a store first approach; provide the ability to process event data as it arrives. Focus on hybrid architectures that facilitate both batch and real-time processing. * See:

10 Reactive Applications: Characteristics Resilient Able to recover at all levels. Utilize fine grained resilience on the component level. Bulkhead pattern. Scalable Avoid contention on shared resources. Scale out or up as needed (without rewrites). Maintain programming model as system is scaled. Event-Driven System communicate via events. Loosely coupled, asynchronous, Amdahl s Law. Efficient use of resources. Responsive Honor response time guarantees regardless of load. Provide users with a rich, interactive experience. Observable models, event streams, stateful clients. * See:

11 Sample Architectural Approach: Reactive Applications Data Warehouse Hadoop / NoSQL Analytics Event Based Applications Event Processing Streaming Analytics RulePoint Ultra Real Time Stream Transport / Delivery Messaging Ultra Messaging Stream Transformation B2B Data Transformation CDC / Data Access CDC PWX Data PowerCenter Integration Streaming Collection Vibe Data Stream Power Exchange Various Source Applications / Technologies Operational Data (Field Devices, Applications, Clickstream, IoT, logs, etc.)

12 Resulting Activity Based Intelligence Process Proactive actions instead of reactive. EVENT S Action ALERT S OI System DATA Allows the end-user to define conditions and rules through selfservice capabilities. Users are pushed the information they need, when they need it, in the system that they need it.

13 Sample Big Data Reference Architectures Real-Time Component * Source: * Source:

14 Hybrid Architecture: Batch Plus Real-Time Historical Batch Computation Batch Map / Reduce, YARN Data Analytics Long term Persistence, High Latency e.g. Purchase history analysis. Data Sources (Devices, Apps, Clickstream, IoT, logs, etc.) Distributed Real- Time Computation Real-Time Continuous Computations Streaming Analytics / Event Processing Incremental, Low Latency e.g. Sensor / infrastructure monitoring. Data Targets (Dashboards, BI, Mobile, etc.) Big Data Supply Chain

15 Stream Collection Separate from batch or bulk data loading. Involves the collection of event data ( streams ) as they occur, from various endpoints, systems, and people. Multiple options available: Micro-batch or near real-time data integration. Data integration hub pattern. Real-time collection. Data replication, etc. Number of factors to look at when determining the right pattern to utilize.

16 Stream Collection: Replication Utilize replication beyond the copying of data from one data store to another. Console Event-enable back-end data stores. Non-intrusively detect changes in data, publish data changes to one or more targets. Real-time delivery of the latest data changes to target systems. Source System High Speed Extraction EXTRACT Checkpoint Intermediate Files Committed SQL Apply Merge Apply Audit Apply APPLY Checkpoint Target System High Speed Parallel Apply SERVER MANAGER SERVER MANAGER

17 Stream Collection: Data Integration Hub Pattern Eliminate point-to-point collection / delivery interfaces. Provide a location independent mechanism for data producers (and consumers) to talk to one another. Publish and Subscribe Manage data delivery impedance mismatches. Provide self-service capabilities. Centralize data quality, masking, transformation logic.

18 Data Integration Hubs: Beyond Collection

19 Stream Collection: Distributed Agents Distribute collection across thousands of endpoints. Perform filtering, transformation, etc. close to the source. Focus on daemon-less or broker-less designs for improved performance and scalability. Provide varying qualities of service. Streaming, guaranteed, etc. Allow for dynamic configuration. Sources Stream Node Stream Node Stream Node Stream Node Stream Node Stream Node Targets

20 Stream Collection: Distributed Agents with Collectors Local Hub Agent Streaming Data Collection Regional Hub Central Hub Event Processin g Real Time Actions Agent Data Integration EDW Agent Edge data filtering and processing Data Transfer HDFS Agent

21 Event Streaming Analytics Execute logic against real-time streams. Utilize streaming language constructs. Logic may be executed at a point-in-time, or over time. Temporal reasoning. Join or merge multiple streams together for real-time pattern recognition, correlation, etc. across data sources. Distributed Real- Time Computation RulePoint Timely and contextual. Augment real-time streams with historical context.

22 Event Delivery Data Integration Hub Allow data consumers to subscribe to data previously pushed to the hub. Batch + near real-time feed. Data Integration Feed content into back-end systems through application interfaces. Batch + near real-time feed. Streaming Delivery Push content to end applications, dashboards, etc. Content may consist of derived or raw events. Near real-time + real-time feed.

23 Lambda Architecture Source: Data is distributed to both a Batch Layer and Speed Layer for processing. Batch layer manages the append-only master set of raw data. Serving Layer indexes batch views for lowlatency queries. Speed Layer covers recent data not in the Batch Layer. Queries merge results from the batch and realtime views.

24 Data Security with Data Integration

25 Architectural Implications

26 Questions? e.me

Luncheon Webinar Series May 13, 2013

Luncheon Webinar Series May 13, 2013 Luncheon Webinar Series May 13, 2013 InfoSphere DataStage is Big Data Integration Sponsored By: Presented by : Tony Curcio, InfoSphere Product Management 0 InfoSphere DataStage is Big Data Integration

More information

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ

End to End Solution to Accelerate Data Warehouse Optimization. Franco Flore Alliance Sales Director - APJ End to End Solution to Accelerate Data Warehouse Optimization Franco Flore Alliance Sales Director - APJ Big Data Is Driving Key Business Initiatives Increase profitability, innovation, customer satisfaction,

More information

REAL-TIME OPERATIONAL INTELLIGENCE. Competitive advantage from unstructured, high-velocity log and machine Big Data

REAL-TIME OPERATIONAL INTELLIGENCE. Competitive advantage from unstructured, high-velocity log and machine Big Data REAL-TIME OPERATIONAL INTELLIGENCE Competitive advantage from unstructured, high-velocity log and machine Big Data 2 SQLstream: Our s-streaming products unlock the value of high-velocity unstructured log

More information

What s New with Informatica Data Services & PowerCenter Data Virtualization Edition

What s New with Informatica Data Services & PowerCenter Data Virtualization Edition 1 What s New with Informatica Data Services & PowerCenter Data Virtualization Edition Kevin Brady, Integration Team Lead Bonneville Power Wei Zheng, Product Management Informatica Ash Parikh, Product Marketing

More information

Ganzheitliches Datenmanagement

Ganzheitliches Datenmanagement Ganzheitliches Datenmanagement für Hadoop Michael Kohs, Senior Sales Consultant @mikchaos The Problem with Big Data Projects in 2016 Relational, Mainframe Documents and Emails Data Modeler Data Scientist

More information

Datenverwaltung im Wandel - Building an Enterprise Data Hub with

Datenverwaltung im Wandel - Building an Enterprise Data Hub with Datenverwaltung im Wandel - Building an Enterprise Data Hub with Cloudera Bernard Doering Regional Director, Central EMEA, Cloudera Cloudera Your Hadoop Experts Founded 2008, by former employees of Employees

More information

Real time information -Philips case

Real time information -Philips case Real time information -Philips case Leyla Akgez-Laakso Lead architect for Information Platforms 11 maart 2014 Enterprise information architecture All structured information that is relevant to Philips

More information

Informatica and our product strategy

Informatica and our product strategy Informatica and our product strategy Piotr Skowronski April 2015 2015 Sales Plays: Power the -Ready Enterprise Business Imperatives Improved Decisions Cross-Sell Up-Sell Mergers & Acquisitions Business

More information

Beyond Lambda - how to get from logical to physical. Artur Borycki, Director International Technology & Innovations

Beyond Lambda - how to get from logical to physical. Artur Borycki, Director International Technology & Innovations Beyond Lambda - how to get from logical to physical Artur Borycki, Director International Technology & Innovations Simplification & Efficiency Teradata believe in the principles of self-service, automation

More information

Integrating a Big Data Platform into Government:

Integrating a Big Data Platform into Government: Integrating a Big Data Platform into Government: Drive Better Decisions for Policy and Program Outcomes John Haddad, Senior Director Product Marketing, Informatica Digital Government Institute s Government

More information

Lambda Architecture. Near Real-Time Big Data Analytics Using Hadoop. January 2015. Email: bdg@qburst.com Website: www.qburst.com

Lambda Architecture. Near Real-Time Big Data Analytics Using Hadoop. January 2015. Email: bdg@qburst.com Website: www.qburst.com Lambda Architecture Near Real-Time Big Data Analytics Using Hadoop January 2015 Contents Overview... 3 Lambda Architecture: A Quick Introduction... 4 Batch Layer... 4 Serving Layer... 4 Speed Layer...

More information

Find the Information That Matters. Visualize Your Data, Your Way. Scalable, Flexible, Global Enterprise Ready

Find the Information That Matters. Visualize Your Data, Your Way. Scalable, Flexible, Global Enterprise Ready Real-Time IoT Platform Solutions for Wireless Sensor Networks Find the Information That Matters ViZix is a scalable, secure, high-capacity platform for Internet of Things (IoT) business solutions that

More information

Data Integration Hub

Data Integration Hub Data Integration Hub Data Integration Hub Provides a Better Way Actual Customer Point-to-Point Data Architecture Modern Data Integration Hub Masked Informatica Data Integration Hub Accelerate data projects

More information

CAPTURING & PROCESSING REAL-TIME DATA ON AWS

CAPTURING & PROCESSING REAL-TIME DATA ON AWS CAPTURING & PROCESSING REAL-TIME DATA ON AWS @ 2015 Amazon.com, Inc. and Its affiliates. All rights reserved. May not be copied, modified, or distributed in whole or in part without the express consent

More information

Lambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL. May 2015

Lambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL. May 2015 Lambda Architecture for Batch and Real- Time Processing on AWS with Spark Streaming and Spark SQL May 2015 2015, Amazon Web Services, Inc. or its affiliates. All rights reserved. Notices This document

More information

Traditional BI vs. Business Data Lake A comparison

Traditional BI vs. Business Data Lake A comparison Traditional BI vs. Business Data Lake A comparison The need for new thinking around data storage and analysis Traditional Business Intelligence (BI) systems provide various levels and kinds of analyses

More information

Decoding the Big Data Deluge a Virtual Approach. Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco

Decoding the Big Data Deluge a Virtual Approach. Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco Decoding the Big Data Deluge a Virtual Approach Dan Luongo, Global Lead, Field Solution Engineering Data Virtualization Business Unit, Cisco High-volume, velocity and variety information assets that demand

More information

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015

Bringing Strategy to Life Using an Intelligent Data Platform to Become Data Ready. Informatica Government Summit April 23, 2015 Bringing Strategy to Life Using an Intelligent Platform to Become Ready Informatica Government Summit April 23, 2015 Informatica Solutions Overview Power the -Ready Enterprise Government Imperatives Improve

More information

Real-time Big Data Analytics with Storm

Real-time Big Data Analytics with Storm Ron Bodkin Founder & CEO, Think Big June 2013 Real-time Big Data Analytics with Storm Leading Provider of Data Science and Engineering Services Accelerating Your Time to Value IMAGINE Strategy and Roadmap

More information

Cloud Integration and the Big Data Journey - Common Use-Case Patterns

Cloud Integration and the Big Data Journey - Common Use-Case Patterns Cloud Integration and the Big Data Journey - Common Use-Case Patterns A White Paper August, 2014 Corporate Technologies Business Intelligence Group OVERVIEW The advent of cloud and hybrid architectures

More information

Solving Your Big Data Problems with Fast Data (Better Decisions and Instant Action)

Solving Your Big Data Problems with Fast Data (Better Decisions and Instant Action) Solving Your Big Data Problems with Fast Data (Better Decisions and Instant Action) Does your company s integration strategy support your mobility, big data, and loyalty projects today and are you prepared

More information

NEEDLE STACKS & BIG DATA: USING EVENT STREAM PROCESSING FOR RISK, SURVEILLANCE & SECURITY ANALYTICS IN CAPITAL MARKETS

NEEDLE STACKS & BIG DATA: USING EVENT STREAM PROCESSING FOR RISK, SURVEILLANCE & SECURITY ANALYTICS IN CAPITAL MARKETS NEEDLE STACKS & BIG DATA: USING PROCESSING FOR RISK, SURVEILLANCE & SECURITY ANALYTICS IN CAPITAL MARKETS JERRY BAULIER, DIRECTOR, PROCESSING DAVID M. WALLACE, GLOBAL FINANCIAL SERVICES MARKETING MANAGER

More information

xpaaerns on Spark, Shark, Tachyon and Mesos

xpaaerns on Spark, Shark, Tachyon and Mesos xpaaerns on Spark, Shark, Tachyon and Mesos Spark Summit 2014 Claudiu Barbura Sr. Director of Engineering A>geo Agenda xpa&erns Architecture From Hadoop to BDAS & our contribu

More information

STREAM PROCESSING AT LINKEDIN: APACHE KAFKA & APACHE SAMZA. Processing billions of events every day

STREAM PROCESSING AT LINKEDIN: APACHE KAFKA & APACHE SAMZA. Processing billions of events every day STREAM PROCESSING AT LINKEDIN: APACHE KAFKA & APACHE SAMZA Processing billions of events every day Neha Narkhede Co-founder and Head of Engineering @ Stealth Startup Prior to this Lead, Streams Infrastructure

More information

Testing Big data is one of the biggest

Testing Big data is one of the biggest Infosys Labs Briefings VOL 11 NO 1 2013 Big Data: Testing Approach to Overcome Quality Challenges By Mahesh Gudipati, Shanthi Rao, Naju D. Mohan and Naveen Kumar Gajja Validate data quality by employing

More information

Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved

Hortonworks & SAS. Analytics everywhere. Page 1. Hortonworks Inc. 2011 2014. All Rights Reserved Hortonworks & SAS Analytics everywhere. Page 1 A change in focus. A shift in Advertising From mass branding A shift in Financial Services From Educated Investing A shift in Healthcare From mass treatment

More information

ENABLING OPERATIONAL BI

ENABLING OPERATIONAL BI ENABLING OPERATIONAL BI WITH SAP DATA Satisfy the need for speed with real-time data replication Author: Eric Kavanagh, The Bloor Group Co-Founder WHITE PAPER Table of Contents The Data Challenge to Make

More information

Enabling Real-Time Sharing and Synchronization over the WAN

Enabling Real-Time Sharing and Synchronization over the WAN Solace message routers have been optimized to very efficiently distribute large amounts of data over wide area networks, enabling truly game-changing performance by eliminating many of the constraints

More information

Architectural patterns for building real time applications with Apache HBase. Andrew Purtell Committer and PMC, Apache HBase

Architectural patterns for building real time applications with Apache HBase. Andrew Purtell Committer and PMC, Apache HBase Architectural patterns for building real time applications with Apache HBase Andrew Purtell Committer and PMC, Apache HBase Who am I? Distributed systems engineer Principal Architect in the Big Data Platform

More information

MDM and Data Warehousing Complement Each Other

MDM and Data Warehousing Complement Each Other Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There

More information

THE DEVELOPER GUIDE TO BUILDING STREAMING DATA APPLICATIONS

THE DEVELOPER GUIDE TO BUILDING STREAMING DATA APPLICATIONS THE DEVELOPER GUIDE TO BUILDING STREAMING DATA APPLICATIONS WHITE PAPER Successfully writing Fast Data applications to manage data generated from mobile, smart devices and social interactions, and the

More information

Ten Things You Need to Know About Data Virtualization

Ten Things You Need to Know About Data Virtualization White Paper Ten Things You Need to Know About Data Virtualization What is Data Virtualization? Data virtualization is an agile data integration method that simplifies information access. Data virtualization

More information

BIG DATA FOR MEDIA SIGMA DATA SCIENCE GROUP MARCH 2ND, OSLO

BIG DATA FOR MEDIA SIGMA DATA SCIENCE GROUP MARCH 2ND, OSLO BIG DATA FOR MEDIA SIGMA DATA SCIENCE GROUP MARCH 2ND, OSLO ANTHONY A. KALINDE SIGMA DATA SCIENCE GROUP ASSOCIATE "REALTIME BEHAVIOURAL DATA COLLECTION CLICKSTREAM EXAMPLE" WHAT IS CLICKSTREAM ANALYTICS?

More information

BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES

BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES BIG DATA ANALYTICS REFERENCE ARCHITECTURES AND CASE STUDIES Relational vs. Non-Relational Architecture Relational Non-Relational Rational Predictable Traditional Agile Flexible Modern 2 Agenda Big Data

More information

Unified Batch & Stream Processing Platform

Unified Batch & Stream Processing Platform Unified Batch & Stream Processing Platform Himanshu Bari Director Product Management Most Big Data Use Cases Are About Improving/Re-write EXISTING solutions To KNOWN problems Current Solutions Were Built

More information

The Future of Data Management

The Future of Data Management The Future of Data Management with Hadoop and the Enterprise Data Hub Amr Awadallah (@awadallah) Cofounder and CTO Cloudera Snapshot Founded 2008, by former employees of Employees Today ~ 800 World Class

More information

Architecting for the Internet of Things & Big Data

Architecting for the Internet of Things & Big Data Architecting for the Internet of Things & Big Data Robert Stackowiak, Oracle North America, VP Information Architecture & Big Data September 29, 2014 Safe Harbor Statement The following is intended to

More information

An Integrated Big Data & Analytics Infrastructure June 14, 2012 Robert Stackowiak, VP Oracle ESG Data Systems Architecture

An Integrated Big Data & Analytics Infrastructure June 14, 2012 Robert Stackowiak, VP Oracle ESG Data Systems Architecture An Integrated Big Data & Analytics Infrastructure June 14, 2012 Robert Stackowiak, VP ESG Data Systems Architecture Big Data & Analytics as a Service Components Unstructured Data / Sparse Data of Value

More information

The Enterprise Data Hub and The Modern Information Architecture

The Enterprise Data Hub and The Modern Information Architecture The Enterprise Data Hub and The Modern Information Architecture Dr. Amr Awadallah CTO & Co-Founder, Cloudera Twitter: @awadallah 1 2013 Cloudera, Inc. All rights reserved. Cloudera Overview The Leader

More information

An Oracle White Paper March 2014. Best Practices for Real-Time Data Warehousing

An Oracle White Paper March 2014. Best Practices for Real-Time Data Warehousing An Oracle White Paper March 2014 Best Practices for Real-Time Data Warehousing Executive Overview Today s integration project teams face the daunting challenge that, while data volumes are exponentially

More information

Towards Smart and Intelligent SDN Controller

Towards Smart and Intelligent SDN Controller Towards Smart and Intelligent SDN Controller - Through the Generic, Extensible, and Elastic Time Series Data Repository (TSDR) YuLing Chen, Dell Inc. Rajesh Narayanan, Dell Inc. Sharon Aicler, Cisco Systems

More information

Data Virtualization A Potential Antidote for Big Data Growing Pains

Data Virtualization A Potential Antidote for Big Data Growing Pains perspective Data Virtualization A Potential Antidote for Big Data Growing Pains Atul Shrivastava Abstract Enterprises are already facing challenges around data consolidation, heterogeneity, quality, and

More information

The Purview Solution Integration With Splunk

The Purview Solution Integration With Splunk The Purview Solution Integration With Splunk Integrating Application Management and Business Analytics With Other IT Management Systems A SOLUTION WHITE PAPER WHITE PAPER Introduction Purview Integration

More information

CLOUD BASED SEMANTIC EVENT PROCESSING FOR

CLOUD BASED SEMANTIC EVENT PROCESSING FOR CLOUD BASED SEMANTIC EVENT PROCESSING FOR MONITORING AND MANAGEMENT OF SUPPLY CHAINS A VLTN White Paper Dr. Bill Karakostas Bill.karakostas@vltn.be Executive Summary Supply chain visibility is essential

More information

Service Oriented Data Management

Service Oriented Data Management Service Oriented Management Nabin Bilas Integration Architect Integration & SOA: Agenda Integration Overview 5 Reasons Why Is Critical to SOA Oracle Integration Solution Integration

More information

Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes

Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes Capitalize on Big Data for Competitive Advantage with Bedrock TM, an integrated Management Platform for Hadoop Data Lakes Highly competitive enterprises are increasingly finding ways to maximize and accelerate

More information

Data Virtualization for Agile Business Intelligence Systems and Virtual MDM. To View This Presentation as a Video Click Here

Data Virtualization for Agile Business Intelligence Systems and Virtual MDM. To View This Presentation as a Video Click Here Data Virtualization for Agile Business Intelligence Systems and Virtual MDM To View This Presentation as a Video Click Here Agenda Data Virtualization New Capabilities New Challenges in Data Integration

More information

Converging Technologies: Real-Time Business Intelligence and Big Data

Converging Technologies: Real-Time Business Intelligence and Big Data Have 40 Converging Technologies: Real-Time Business Intelligence and Big Data Claudia Imhoff, Intelligent Solutions, Inc Colin White, BI Research September 2013 Sponsored by Vitria Technologies, Inc. Converging

More information

Enterprise Information Integration (EII) A Technical Ally of EAI and ETL Author Bipin Chandra Joshi Integration Architect Infosys Technologies Ltd

Enterprise Information Integration (EII) A Technical Ally of EAI and ETL Author Bipin Chandra Joshi Integration Architect Infosys Technologies Ltd Enterprise Information Integration (EII) A Technical Ally of EAI and ETL Author Bipin Chandra Joshi Integration Architect Infosys Technologies Ltd Page 1 of 8 TU1UT TUENTERPRISE TU2UT TUREFERENCESUT TABLE

More information

Eric Ledu, The Createch Group, a BELL company

Eric Ledu, The Createch Group, a BELL company Eric Ledu, The Createch Group, a BELL company Intelligence Analytics maturity Past Present Future Predictive Modeling Optimization What is the best that could happen? Raw Data Cleaned Data Standard Reports

More information

COURSE 20463C: IMPLEMENTING A DATA WAREHOUSE WITH MICROSOFT SQL SERVER

COURSE 20463C: IMPLEMENTING A DATA WAREHOUSE WITH MICROSOFT SQL SERVER Page 1 of 8 ABOUT THIS COURSE This 5 day course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL Server

More information

Deploying an Operational Data Store Designed for Big Data

Deploying an Operational Data Store Designed for Big Data Deploying an Operational Data Store Designed for Big Data A fast, secure, and scalable data staging environment with no data volume or variety constraints Sponsored by: Version: 102 Table of Contents Introduction

More information

BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata

BIG DATA: FROM HYPE TO REALITY. Leandro Ruiz Presales Partner for C&LA Teradata BIG DATA: FROM HYPE TO REALITY Leandro Ruiz Presales Partner for C&LA Teradata Evolution in The Use of Information Action s ACTIVATING MAKE it happen! Insights OPERATIONALIZING WHAT IS happening now? PREDICTING

More information

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server Page 1 of 7 Overview This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL 2014, implement ETL

More information

Real Time Big Data Processing

Real Time Big Data Processing Real Time Big Data Processing Cloud Expo 2014 Ian Meyers Amazon Web Services Global Infrastructure Deployment & Administration App Services Analytics Compute Storage Database Networking AWS Global Infrastructure

More information

Cloud Ready Data: Speeding Your Journey to the Cloud

Cloud Ready Data: Speeding Your Journey to the Cloud Cloud Ready Data: Speeding Your Journey to the Cloud Hybrid Cloud first Born to the cloud 3 Am I part of a Cloud First organization? Am I part of a Cloud First agency? The cloud applications questions

More information

Pulsar Realtime Analytics At Scale. Tony Ng April 14, 2015

Pulsar Realtime Analytics At Scale. Tony Ng April 14, 2015 Pulsar Realtime Analytics At Scale Tony Ng April 14, 2015 Big Data Trends Bigger data volumes More data sources DBs, logs, behavioral & business event streams, sensors Faster analysis Next day to hours

More information

Azure Data Lake Analytics

Azure Data Lake Analytics Azure Data Lake Analytics Compose and orchestrate data services at scale Fully managed service to support orchestration of data movement and processing Connect to relational or non-relational data

More information

Time-Series Databases and Machine Learning

Time-Series Databases and Machine Learning Time-Series Databases and Machine Learning Jimmy Bates November 2017 1 Top-Ranked Hadoop 1 3 5 7 Read Write File System World Record Performance High Availability Enterprise-grade Security Distribution

More information

Using Tableau Software with Hortonworks Data Platform

Using Tableau Software with Hortonworks Data Platform Using Tableau Software with Hortonworks Data Platform September 2013 2013 Hortonworks Inc. http:// Modern businesses need to manage vast amounts of data, and in many cases they have accumulated this data

More information

Reference Architecture, Requirements, Gaps, Roles

Reference Architecture, Requirements, Gaps, Roles Reference Architecture, Requirements, Gaps, Roles The contents of this document are an excerpt from the brainstorming document M0014. The purpose is to show how a detailed Big Data Reference Architecture

More information

More Data in Less Time

More Data in Less Time More Data in Less Time Leveraging Cloudera CDH as an Operational Data Store Daniel Tydecks, Systems Engineering DACH & CE Goals of an Operational Data Store Load Data Sources Traditional Architecture Operational

More information

Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges

Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Managing Cloud Server with Big Data for Small, Medium Enterprises: Issues and Challenges Prerita Gupta Research Scholar, DAV College, Chandigarh Dr. Harmunish Taneja Department of Computer Science and

More information

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers

Modern IT Operations Management. Why a New Approach is Required, and How Boundary Delivers Modern IT Operations Management Why a New Approach is Required, and How Boundary Delivers TABLE OF CONTENTS EXECUTIVE SUMMARY 3 INTRODUCTION: CHANGING NATURE OF IT 3 WHY TRADITIONAL APPROACHES ARE FAILING

More information

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel A Next-Generation Analytics Ecosystem for Big Data Colin White, BI Research September 2012 Sponsored by ParAccel BIG DATA IS BIG NEWS The value of big data lies in the business analytics that can be generated

More information

Emerging Technologies Shaping the Future of Data Warehouses & Business Intelligence

Emerging Technologies Shaping the Future of Data Warehouses & Business Intelligence Emerging Technologies Shaping the Future of Data Warehouses & Business Intelligence Service Oriented Architecture SOA and Web Services John O Brien President and Executive Architect Zukeran Technologies

More information

Business Intelligence in Microservice Architecture. Debarshi Basak @ bol.com

Business Intelligence in Microservice Architecture. Debarshi Basak @ bol.com Business Intelligence in Microservice Architecture Debarshi Basak @ bol.com What can you expect? - Introduction Monolithic days Mapreduce Era Flink Era Operational Aspect Who am I? Debarshi Basak Software

More information

Data Integration for the Real Time Enterprise

Data Integration for the Real Time Enterprise Executive Brief Data Integration for the Real Time Enterprise Business Agility in a Constantly Changing World Overcoming the Challenges of Global Uncertainty Informatica gives Zyme the ability to maintain

More information

Informatica PowerCenter Data Virtualization Edition

Informatica PowerCenter Data Virtualization Edition Data Sheet Informatica PowerCenter Data Virtualization Edition Benefits Rapidly deliver new critical data and reports across applications and warehouses Access, merge, profile, transform, cleanse data

More information

Day with Development Master Class Big Data Management System DW & Big Data Global Leaders Program

Day with Development Master Class Big Data Management System DW & Big Data Global Leaders Program Day with Development Master Class Big Data Management System DW & Big Data Global Leaders Program Jean-Pierre Dijcks Big Data Product Management Server Technologies Part 1 Part 2 Foundation and Architecture

More information

XpoLog Center Suite Data Sheet

XpoLog Center Suite Data Sheet XpoLog Center Suite Data Sheet General XpoLog is a data analysis and management platform for Applications IT data. Business applications rely on a dynamic heterogeneous applications infrastructure, such

More information

Implement a Data Warehouse with Microsoft SQL Server 20463C; 5 days

Implement a Data Warehouse with Microsoft SQL Server 20463C; 5 days Lincoln Land Community College Capital City Training Center 130 West Mason Springfield, IL 62702 217-782-7436 www.llcc.edu/cctc Implement a Data Warehouse with Microsoft SQL Server 20463C; 5 days Course

More information

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server Course Code: M20463 Vendor: Microsoft Course Overview Duration: 5 RRP: 2,025 Implementing a Data Warehouse with Microsoft SQL Server Overview This course describes how to implement a data warehouse platform

More information

Advantage Integration Strategy Integrating for the Enterprise

Advantage Integration Strategy Integrating for the Enterprise Advantage Integration Strategy Integrating for the Enterprise Executive Summary In years past, businesses relied on fewer systems to manage their day-to-day activities and often implemented simple, batch-oriented

More information

Microsoft. Course 20463C: Implementing a Data Warehouse with Microsoft SQL Server

Microsoft. Course 20463C: Implementing a Data Warehouse with Microsoft SQL Server Course 20463C: Implementing a Data Warehouse with Microsoft SQL Server Length : 5 Days Audience(s) : IT Professionals Level : 300 Technology : Microsoft SQL Server 2014 Delivery Method : Instructor-led

More information

Information Architecture

Information Architecture The Bloor Group Actian and The Big Data Information Architecture WHITE PAPER The Actian Big Data Information Architecture Actian and The Big Data Information Architecture Originally founded in 2005 to

More information

Offload Historical Data to Big Data Lake. Ample White Paper

Offload Historical Data to Big Data Lake. Ample White Paper Offload Historical Data to Big Data Lake The Need to Offload Historical Data for Compliance Queries How often have heard that the legal or compliance department group needs to have access to your company

More information

DIGITAL DISRUPTION IS REAL AND HERE TO STAY

DIGITAL DISRUPTION IS REAL AND HERE TO STAY DIGITAL BUSINESS PLATFORM DIGITAL DISRUPTION IS REAL AND HERE TO STAY Ramesh Subramaniam Director Business Solutions ANZ 2015 Software AG. All rights reserved. For internal use only DIGITAL BUSINESS PLATFORM

More information

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse 2014, implement ETL with SQL Server Integration Services, and

More information

CitusDB Architecture for Real-Time Big Data

CitusDB Architecture for Real-Time Big Data CitusDB Architecture for Real-Time Big Data CitusDB Highlights Empowers real-time Big Data using PostgreSQL Scales out PostgreSQL to support up to hundreds of terabytes of data Fast parallel processing

More information

Simplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!!

Simplifying Big Data Analytics: Unifying Batch and Stream Processing. John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Simplifying Big Data Analytics: Unifying Batch and Stream Processing John Fanelli,! VP Product! In-Memory Compute Summit! June 30, 2015!! Streaming Analy.cs S S S Scale- up Database Data And Compute Grid

More information

Detecting Anomalous Behavior with the Business Data Lake. Reference Architecture and Enterprise Approaches.

Detecting Anomalous Behavior with the Business Data Lake. Reference Architecture and Enterprise Approaches. Detecting Anomalous Behavior with the Business Data Lake Reference Architecture and Enterprise Approaches. 2 Detecting Anomalous Behavior with the Business Data Lake Pivotal the way we see it Reference

More information

HDP Hadoop From concept to deployment.

HDP Hadoop From concept to deployment. HDP Hadoop From concept to deployment. Ankur Gupta Senior Solutions Engineer Rackspace: Page 41 27 th Jan 2015 Where are you in your Hadoop Journey? A. Researching our options B. Currently evaluating some

More information

SAP and Hortonworks Reference Architecture

SAP and Hortonworks Reference Architecture SAP and Hortonworks Reference Architecture Hortonworks. We Do Hadoop. June Page 1 2014 Hortonworks Inc. 2011 2014. All Rights Reserved A Modern Data Architecture With SAP DATA SYSTEMS APPLICATIO NS Statistical

More information

Informatica PowerCenter The Foundation of Enterprise Data Integration

Informatica PowerCenter The Foundation of Enterprise Data Integration Informatica PowerCenter The Foundation of Enterprise Data Integration The Right Information, at the Right Time Powerful market forces globalization, new regulations, mergers and acquisitions, and business

More information

LOG INTELLIGENCE FOR SECURITY AND COMPLIANCE

LOG INTELLIGENCE FOR SECURITY AND COMPLIANCE PRODUCT BRIEF uugiven today s environment of sophisticated security threats, big data security intelligence solutions and regulatory compliance demands, the need for a log intelligence solution has become

More information

Big Data Analytics Platform @ Nokia

Big Data Analytics Platform @ Nokia Big Data Analytics Platform @ Nokia 1 Selecting the Right Tool for the Right Workload Yekesa Kosuru Nokia Location & Commerce Strata + Hadoop World NY - Oct 25, 2012 Agenda Big Data Analytics Platform

More information

BIG DATA TECHNOLOGY. Hadoop Ecosystem

BIG DATA TECHNOLOGY. Hadoop Ecosystem BIG DATA TECHNOLOGY Hadoop Ecosystem Agenda Background What is Big Data Solution Objective Introduction to Hadoop Hadoop Ecosystem Hybrid EDW Model Predictive Analysis using Hadoop Conclusion What is Big

More information

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop

Hadoop Data Hubs and BI. Supporting the migration from siloed reporting and BI to centralized services with Hadoop Hadoop Data Hubs and BI Supporting the migration from siloed reporting and BI to centralized services with Hadoop John Allen October 2014 Introduction John Allen; computer scientist Background in data

More information

Big Data Use Case: Business Analytics

Big Data Use Case: Business Analytics Big Data Use Case: Business Analytics Starting point A telecommunications company wants to allude to the topic of Big Data. The established Big Data working group has access to the data stock of the enterprise

More information

Managing Data in Motion

Managing Data in Motion Managing Data in Motion Data Integration Best Practice Techniques and Technologies April Reeve ELSEVIER AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK OXFORD PARIS SAN DIEGO SAN FRANCISCO SINGAPORE SYDNEY

More information

Reactive Applications: What if Your Internet of Things has 1000s of Things?

Reactive Applications: What if Your Internet of Things has 1000s of Things? Reactive Applications: What if Your Internet of Things has 1000s of Things? dean.wampler@typesafe.com @deanwampler Photographs licensed from istock unless otherwise noted. Characteristics of Large IoT

More information

WHY IT ORGANIZATIONS CAN T LIVE WITHOUT QLIKVIEW

WHY IT ORGANIZATIONS CAN T LIVE WITHOUT QLIKVIEW WHY IT ORGANIZATIONS CAN T LIVE WITHOUT QLIKVIEW A QlikView White Paper November 2012 qlikview.com Table of Contents Unlocking The Value Within Your Data Warehouse 3 Champions to the Business Again: Controlled

More information

Big data platform for IoT Cloud Analytics. Chen Admati, Advanced Analytics, Intel

Big data platform for IoT Cloud Analytics. Chen Admati, Advanced Analytics, Intel Big data platform for IoT Cloud Analytics Chen Admati, Advanced Analytics, Intel Agenda IoT @ Intel End-to-End offering Analytics vision Big data platform for IoT Cloud Analytics Platform Capabilities

More information

Advancing Sustainability with Geospatial Steven Hagan, Vice President, Server Technologies João Paiva, Ph.D. Spatial Information and Science

Advancing Sustainability with Geospatial Steven Hagan, Vice President, Server Technologies João Paiva, Ph.D. Spatial Information and Science Advancing Sustainability with Geospatial Steven Hagan, Vice President, Server Technologies João Paiva, Ph.D. Spatial Information and Science Engineering 1 Copyright 2011, Oracle and/or its affiliates.

More information

Practical Approaches to Big Data & Analytics: From Infrastructure to

Practical Approaches to Big Data & Analytics: From Infrastructure to 2014 Cisco and/or its affiliates. All rights reserved. Practical Approaches to Big Data & Analytics: From Infrastructure to Applications Kapil Bakshi Distinguished Architect, Cisco System Digital Government

More information

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica

More information

A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY

A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY A TECHNICAL WHITE PAPER ATTUNITY VISIBILITY Analytics for Enterprise Data Warehouse Management and Optimization Executive Summary Successful enterprise data management is an important initiative for growing

More information

Streaming Analytics A Framework for Innovation

Streaming Analytics A Framework for Innovation Streaming Analytics A Framework for Innovation Jan Humble Solutions Architect 1 Volume and Scale of Sensing Data Can you TURN IT ON? Can you Identify Insights in REAL-TIME? Can you REACT and ENGAGE in

More information

Information Builders Mission & Value Proposition

Information Builders Mission & Value Proposition Value 10/06/2015 2015 MapR Technologies 2015 MapR Technologies 1 Information Builders Mission & Value Proposition Economies of Scale & Increasing Returns (Note: Not to be confused with diminishing returns

More information