A Scalable Data Transformation Framework using the Hadoop Ecosystem

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "A Scalable Data Transformation Framework using the Hadoop Ecosystem"

Transcription

1 A Scalable Data Transformation Framework using the Hadoop Ecosystem Raj Nair Director Data Platform Kiru Pakkirisamy CTO

2 AGENDA About Penton and Serendio Inc Data Processing at Penton PoC Use Case Functional Aspects of the Use Case Big Data Architecture, Design and Implementation Lessons Learned Conclusion Questions

3 About Penton Professional information services company Provide actionable information to five core markets Agriculture Transportation Natural Products Infrastructure Industrial Design & Manufacturing Success Stories EquipmentWatch.com Prices, Specs, Costs, Rental Govalytics.com Analytics around Gov tcapital spending down to county level SourceESB NextTrend.com Vertical Directory, electronic parts Identify new product trends in the natural products industry

4 About Serendio Serendio provides Big Data Science Solutions & Services for Data-Driven Enterprises.

5 Data Processing at Penton

6 What got us thinking? Business units process data in silos Heavy ETL Hours to process, in some cases days Not even using all the data we want Not logging what we needed to Can t scale for future requirements

7 The Data Processing Pipeline Assembly Line processing Biz Value Data Processing Pipeline New features New New Insights Products Data Processing Pipeline

8 Penton examples Daily Inventory data, ingested throughout the day (tens of thousands of parts) Auction and survey data gathered daily Aviation Fleet data, varying frequency Ingest, store Clean, validate Apply Business Rules Map Analyze Report Distribute Various data formats, mostly unstructured Slow Extract, Transform and Load = Frustration + missed business SLAs Won t scale for future

9 Current Design Survey data loaded as CSV files Data needs to be scrubbed/mapped All CSV rows loaded into one table Once scrubbed/mapped data is loaded into main tables Not all rows are loaded, some may be used in the future

10 What were our options? Expand RDBMS options -Expensive -Complex Adopt Hadoop Ecosystem - M/R: Ideal for Batch Processing - Flexible for storage - NoSQL: scale, usability and flexibility HBASE Oracle Drools SQL Server

11 POC Use Case

12 Primary Use Case Daily model data upload and map Ingest data, build buckets Map data (batch and interactive) Build Aggregates (dynamic) Issue: Mapping time

13 Functional Aspects

14 Data Scrubbing Standardized names for fields/columns Example - Country Unites States of America -> USA United States -> USA

15 Data Mapping Converting Fields - > Ids Manufacturer - Caterpillar -> 25 Model - Caterpillar/Front Loader -> 300 Requires the use of lookup tables and partial/fuzzy matching strings

16 Data Exporting Move scrubbed/mapped data to main RDBMS

17 Key Pain Points CSV data table continues to grow Large size of the table impacts operations on rows in a single file CSV data could grow rapidly in the future

18 Criteria for New Design Ability to store an individual file and manipulate it easily No join/relationships across CSV files Solution should have good integration with RDBMS Could possibly host the complete application in future Technology stack should possibly have advanced analytics capabilities NoSQLmodel would allow to quickly retrieve/address individual file and manipulate it

19 Big Data Architecture

20 Solution Architecture RDB-> Data Upload UI CSV Files Data manipulation APIs exposed through REST layer Drools for rule based data scrubbing Use HBase as a store for CSV files REST API CSV and Rule Management Endpoints API Calls Drools HBASE HADOOP HDFS Launch MR Jobs Operations on all/groups of files using MR jobs Insert Accepted Data Push Updates Master database of Products/ Parts Survey REST Operations on individual files in UI through Hbase Get/Put Existing Business Applications Current Oracle Schema

21 Hbase Schema Design One row per HBase row One file per HBase row One cell per column qualifier (simple and started the development with this approach) One row per column qualifier (more performant approach)

22 Hbase Rowkey Design Row Key Composite Created Date (YYYYMMDD) User FileType GUID Salting for better region splitting One byte

23 Hbase Column Family Design Column Family Data separated from Metadata into two or more column families One cf for mapping data (more later) One cf for analytics data (used by analytics coprocessors)

24 M/R Jobs Jobs Scrubbing Mapping Export Schedule Manually from UI On schedule using Oozie

25 Sqoop Jobs One time FileDetailExport (current CSV) RuleImport (all current rules) Periodic Lookup Table Data import Manufacture Model State Country Currency Condition Participant

26 Application Integration - REST Hide HBase AP/Java APIs from rest of application Language independence for PHP front-end REST APIs for CSV Management Drools Rule Management

27 Lessons Learned

28 Performance Benefits Mapping csv files, 20 million records Time taken 1/3rd of RDBMS processing Metrics < 10 secs vs (Oracle Materialized View) Upload a file < 10 secs Delete a file < 10 secs

29 Hbase Tuning Heap Size for RegionServer MapReduce Tasks Table Compression SNAPPY for Column Family holding csv data Table data caching IN_MEMORY for lookup tables

30 Application Design Challenges Pagination implemented using intermediate REST layer and scan.setstartrow. Translating SQL queries Used Scan/Filter and Java (especially on coprocessor) No secondary indexes - used FuzzyRowFilter Maybe something like Phoenix would have helped Some issues in mixed mode. Want to move to for Some issues in mixed mode. Want to move to for better/individual column family flushing but needed to 'port' coprocessors (to protobuf)

31 Hbase Value Proposition Better response in UI for CSV file operations - Operations within a file (map, import, reject etc) not dependent on the db size Relieve load on RDBMS -no more CSV data tables Scale out batch processing performance on the cheap (vs vertical RDBMS upgrade) Redundant store for CSV files Versioning to track data cleansing

32 Roadmap Benchmark with 0.96 Retire Coprocessors in favor of Phoenix (?) Lookup Data tables are small. Need to find a better alternative than HBase Design UI for a more Big Data appropriate model Search oriented paradigm, than exploratory/ paginative Add REST endpoints to support such UI

33 Wrap-Up

34 Conclusion PoC demonstrated value of the Hadoop ecosystem Co-existence of Big data technologies with current solutions Adoption can significantly improve scale New skill requirements

35 Thank You

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

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya Chapter 6 Basics of Data Integration Fundamentals of Business Analytics Learning Objectives and Learning Outcomes Learning Objectives 1. Concepts of data integration 2. Needs and advantages of using data

More information

GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION

GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION GAIN BETTER INSIGHT FROM BIG DATA USING JBOSS DATA VIRTUALIZATION Syed Rasheed Solution Manager Red Hat Corp. Kenny Peeples Technical Manager Red Hat Corp. Kimberly Palko Product Manager Red Hat Corp.

More information

A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani

A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani A Tour of the Zoo the Hadoop Ecosystem Prafulla Wani Technical Architect - Big Data Syntel Agenda Welcome to the Zoo! Evolution Timeline Traditional BI/DW Architecture Where Hadoop Fits In 2 Welcome to

More information

Apache HBase. Crazy dances on the elephant back

Apache HBase. Crazy dances on the elephant back Apache HBase Crazy dances on the elephant back Roman Nikitchenko, 16.10.2014 YARN 2 FIRST EVER DATA OS 10.000 nodes computer Recent technology changes are focused on higher scale. Better resource usage

More information

Infomatics. Big-Data and Hadoop Developer Training with Oracle WDP

Infomatics. Big-Data and Hadoop Developer Training with Oracle WDP Big-Data and Hadoop Developer Training with Oracle WDP What is this course about? Big Data is a collection of large and complex data sets that cannot be processed using regular database management tools

More information

Hadoop Ecosystem Overview. CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook

Hadoop Ecosystem Overview. CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook Hadoop Ecosystem Overview CMSC 491 Hadoop-Based Distributed Computing Spring 2015 Adam Shook Agenda Introduce Hadoop projects to prepare you for your group work Intimate detail will be provided in future

More information

Lecture 10: HBase! Claudia Hauff (Web Information Systems)! ti2736b-ewi@tudelft.nl

Lecture 10: HBase! Claudia Hauff (Web Information Systems)! ti2736b-ewi@tudelft.nl Big Data Processing, 2014/15 Lecture 10: HBase!! Claudia Hauff (Web Information Systems)! ti2736b-ewi@tudelft.nl 1 Course content Introduction Data streams 1 & 2 The MapReduce paradigm Looking behind the

More information

Hadoop Ecosystem B Y R A H I M A.

Hadoop Ecosystem B Y R A H I M A. Hadoop Ecosystem B Y R A H I M A. History of Hadoop Hadoop was created by Doug Cutting, the creator of Apache Lucene, the widely used text search library. Hadoop has its origins in Apache Nutch, an open

More information

ESS event: Big Data in Official Statistics. Antonino Virgillito, Istat

ESS event: Big Data in Official Statistics. Antonino Virgillito, Istat ESS event: Big Data in Official Statistics Antonino Virgillito, Istat v erbi v is 1 About me Head of Unit Web and BI Technologies, IT Directorate of Istat Project manager and technical coordinator of Web

More information

Real-Time Handling of Network Monitoring Data Using a Data-Intensive Framework

Real-Time Handling of Network Monitoring Data Using a Data-Intensive Framework Real-Time Handling of Network Monitoring Data Using a Data-Intensive Framework Aryan TaheriMonfared Tomasz Wiktor Wlodarczyk Chunming Rong Department of Electrical Engineering and Computer Science University

More information

Complete Java Classes Hadoop Syllabus Contact No: 8888022204

Complete Java Classes Hadoop Syllabus Contact No: 8888022204 1) Introduction to BigData & Hadoop What is Big Data? Why all industries are talking about Big Data? What are the issues in Big Data? Storage What are the challenges for storing big data? Processing What

More information

Practical Hadoop by Example

Practical Hadoop by Example Practical Hadoop by Example for relational database professioanals Alex Gorbachev 12-Mar-2013 New York, NY Alex Gorbachev Chief Technology Officer at Pythian Blogger OakTable Network member Oracle ACE

More information

Programming Hadoop 5-day, instructor-led BD-106. MapReduce Overview. Hadoop Overview

Programming Hadoop 5-day, instructor-led BD-106. MapReduce Overview. Hadoop Overview Programming Hadoop 5-day, instructor-led BD-106 MapReduce Overview The Client Server Processing Pattern Distributed Computing Challenges MapReduce Defined Google's MapReduce The Map Phase of MapReduce

More information

Hadoop Evolution In Organizations. Mark Vervuurt Cluster Data Science & Analytics

Hadoop Evolution In Organizations. Mark Vervuurt Cluster Data Science & Analytics In Organizations Mark Vervuurt Cluster Data Science & Analytics AGENDA 1. Yellow Elephant 2. Data Ingestion & Complex Event Processing 3. SQL on Hadoop 4. NoSQL 5. InMemory 6. Data Science & Machine Learning

More information

Introduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture.

Introduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture. Big Data Hadoop Administration and Developer Course This course is designed to understand and implement the concepts of Big data and Hadoop. This will cover right from setting up Hadoop environment in

More information

Hadoop and Map-Reduce. Swati Gore

Hadoop and Map-Reduce. Swati Gore Hadoop and Map-Reduce Swati Gore Contents Why Hadoop? Hadoop Overview Hadoop Architecture Working Description Fault Tolerance Limitations Why Map-Reduce not MPI Distributed sort Why Hadoop? Existing Data

More information

Workshop on Hadoop with Big Data

Workshop on Hadoop with Big Data Workshop on Hadoop with Big Data Hadoop? Apache Hadoop is an open source framework for distributed storage and processing of large sets of data on commodity hardware. Hadoop enables businesses to quickly

More information

Constructing a Data Lake: Hadoop and Oracle Database United!

Constructing a Data Lake: Hadoop and Oracle Database United! Constructing a Data Lake: Hadoop and Oracle Database United! Sharon Sophia Stephen Big Data PreSales Consultant February 21, 2015 Safe Harbor The following is intended to outline our general product direction.

More information

Using distributed technologies to analyze Big Data

Using distributed technologies to analyze Big Data Using distributed technologies to analyze Big Data Abhijit Sharma Innovation Lab BMC Software 1 Data Explosion in Data Center Performance / Time Series Data Incoming data rates ~Millions of data points/

More information

Analytics on Spark & Shark @Yahoo

Analytics on Spark & Shark @Yahoo Analytics on Spark & Shark @Yahoo PRESENTED BY Tim Tully December 3, 2013 Overview Legacy / Current Hadoop Architecture Reflection / Pain Points Why the movement towards Spark / Shark New Hybrid Environment

More information

Big Data Course Highlights

Big Data Course Highlights Big Data Course Highlights The Big Data course will start with the basics of Linux which are required to get started with Big Data and then slowly progress from some of the basics of Hadoop/Big Data (like

More information

A very short talk about Apache Kylin Business Intelligence meets Big Data. Fabian Wilckens EMEA Solutions Architect

A very short talk about Apache Kylin Business Intelligence meets Big Data. Fabian Wilckens EMEA Solutions Architect A very short talk about Apache Kylin Business Intelligence meets Big Data Fabian Wilckens EMEA Solutions Architect 1 The challenge today 2 Very quickly: OLAP Online Analytical Processing How many beers

More information

Trafodion Operational SQL-on-Hadoop

Trafodion Operational SQL-on-Hadoop Trafodion Operational SQL-on-Hadoop SophiaConf 2015 Pierre Baudelle, HP EMEA TSC July 6 th, 2015 Hadoop workload profiles Operational Interactive Non-interactive Batch Real-time analytics Operational SQL

More information

Media Upload and Sharing Website using HBASE

Media Upload and Sharing Website using HBASE A-PDF Merger DEMO : Purchase from www.a-pdf.com to remove the watermark Media Upload and Sharing Website using HBASE Tushar Mahajan Santosh Mukherjee Shubham Mathur Agenda Motivation for the project Introduction

More information

Data storing and data access

Data storing and data access Data storing and data access Plan Basic Java API for HBase demo Bulk data loading Hands-on Distributed storage for user files SQL on nosql Summary Basic Java API for HBase import org.apache.hadoop.hbase.*

More information

BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014

BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014 BIG DATA CAN DRIVE THE BUSINESS AND IT TO EVOLVE AND ADAPT RALPH KIMBALL BUSSUM 2014 Ralph Kimball Associates 2014 The Data Warehouse Mission Identify all possible enterprise data assets Select those assets

More information

Data processing goes big

Data processing goes big Test report: Integration Big Data Edition Data processing goes big Dr. Götz Güttich Integration is a powerful set of tools to access, transform, move and synchronize data. With more than 450 connectors,

More information

HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM

HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM HADOOP ADMINISTATION AND DEVELOPMENT TRAINING CURRICULUM 1. Introduction 1.1 Big Data Introduction What is Big Data Data Analytics Bigdata Challenges Technologies supported by big data 1.2 Hadoop Introduction

More information

Cost-Effective Business Intelligence with Red Hat and Open Source

Cost-Effective Business Intelligence with Red Hat and Open Source Cost-Effective Business Intelligence with Red Hat and Open Source Sherman Wood Director, Business Intelligence, Jaspersoft September 3, 2009 1 Agenda Introductions Quick survey What is BI?: reporting,

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

An Oracle White Paper November 2010. Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics

An Oracle White Paper November 2010. Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics An Oracle White Paper November 2010 Leveraging Massively Parallel Processing in an Oracle Environment for Big Data Analytics 1 Introduction New applications such as web searches, recommendation engines,

More information

Real-time Data Analytics mit Elasticsearch. Bernhard Pflugfelder inovex GmbH

Real-time Data Analytics mit Elasticsearch. Bernhard Pflugfelder inovex GmbH Real-time Data Analytics mit Elasticsearch Bernhard Pflugfelder inovex GmbH Bernhard Pflugfelder Big Data Engineer @ inovex Fields of interest: search analytics big data bi Working with: Lucene Solr Elasticsearch

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

International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 ISSN 2278-7763

International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 ISSN 2278-7763 International Journal of Advancements in Research & Technology, Volume 3, Issue 2, February-2014 10 A Discussion on Testing Hadoop Applications Sevuga Perumal Chidambaram ABSTRACT The purpose of analysing

More information

Apache Kylin Introduction Dec 8, 2014 @ApacheKylin

Apache Kylin Introduction Dec 8, 2014 @ApacheKylin Apache Kylin Introduction Dec 8, 2014 @ApacheKylin Luke Han Sr. Product Manager lukhan@ebay.com @lukehq Yang Li Architect & Tech Leader yangli9@ebay.com Agenda What s Apache Kylin? Tech Highlights Performance

More information

ITG Software Engineering

ITG Software Engineering Introduction to Apache Hadoop Course ID: Page 1 Last Updated 12/15/2014 Introduction to Apache Hadoop Course Overview: This 5 day course introduces the student to the Hadoop architecture, file system,

More information

MySQL and Hadoop: Big Data Integration. Shubhangi Garg & Neha Kumari MySQL Engineering

MySQL and Hadoop: Big Data Integration. Shubhangi Garg & Neha Kumari MySQL Engineering MySQL and Hadoop: Big Data Integration Shubhangi Garg & Neha Kumari MySQL Engineering 1Copyright 2013, Oracle and/or its affiliates. All rights reserved. Agenda Design rationale Implementation Installation

More information

Implement Hadoop jobs to extract business value from large and varied data sets

Implement Hadoop jobs to extract business value from large and varied data sets Hadoop Development for Big Data Solutions: Hands-On You Will Learn How To: Implement Hadoop jobs to extract business value from large and varied data sets Write, customize and deploy MapReduce jobs to

More information

Comparing SQL and NOSQL databases

Comparing SQL and NOSQL databases COSC 6397 Big Data Analytics Data Formats (II) HBase Edgar Gabriel Spring 2015 Comparing SQL and NOSQL databases Types Development History Data Storage Model SQL One type (SQL database) with minor variations

More information

COURSE CONTENT Big Data and Hadoop Training

COURSE CONTENT Big Data and Hadoop Training COURSE CONTENT Big Data and Hadoop Training 1. Meet Hadoop Data! Data Storage and Analysis Comparison with Other Systems RDBMS Grid Computing Volunteer Computing A Brief History of Hadoop Apache Hadoop

More information

Moving From Hadoop to Spark

Moving From Hadoop to Spark + Moving From Hadoop to Spark Sujee Maniyam Founder / Principal @ www.elephantscale.com sujee@elephantscale.com Bay Area ACM meetup (2015-02-23) + HI, Featured in Hadoop Weekly #109 + About Me : Sujee

More information

Apache Hadoop in the Enterprise. Dr. Amr Awadallah, CTO/Founder @awadallah, aaa@cloudera.com

Apache Hadoop in the Enterprise. Dr. Amr Awadallah, CTO/Founder @awadallah, aaa@cloudera.com Apache Hadoop in the Enterprise Dr. Amr Awadallah, CTO/Founder @awadallah, aaa@cloudera.com Cloudera The Leader in Big Data Management Powered by Apache Hadoop The Leading Open Source Distribution of Apache

More information

Qsoft Inc www.qsoft-inc.com

Qsoft Inc www.qsoft-inc.com Big Data & Hadoop Qsoft Inc www.qsoft-inc.com Course Topics 1 2 3 4 5 6 Week 1: Introduction to Big Data, Hadoop Architecture and HDFS Week 2: Setting up Hadoop Cluster Week 3: MapReduce Part 1 Week 4:

More information

Data Governance in the Hadoop Data Lake. Michael Lang May 2015

Data Governance in the Hadoop Data Lake. Michael Lang May 2015 Data Governance in the Hadoop Data Lake Michael Lang May 2015 Introduction Product Manager for Teradata Loom Joined Teradata as part of acquisition of Revelytix, original developer of Loom VP of Sales

More information

Oracle Big Data SQL Technical Update

Oracle Big Data SQL Technical Update Oracle Big Data SQL Technical Update Jean-Pierre Dijcks Oracle Redwood City, CA, USA Keywords: Big Data, Hadoop, NoSQL Databases, Relational Databases, SQL, Security, Performance Introduction This technical

More information

Building Scalable Big Data Pipelines

Building Scalable Big Data Pipelines Building Scalable Big Data Pipelines NOSQL SEARCH ROADSHOW ZURICH Christian Gügi, Solution Architect 19.09.2013 AGENDA Opportunities & Challenges Integrating Hadoop Lambda Architecture Lambda in Practice

More information

Peers Techno log ies Pv t. L td. HADOOP

Peers Techno log ies Pv t. L td. HADOOP Page 1 Peers Techno log ies Pv t. L td. Course Brochure Overview Hadoop is a Open Source from Apache, which provides reliable storage and faster process by using the Hadoop distibution file system and

More information

MongoDB Developer and Administrator Certification Course Agenda

MongoDB Developer and Administrator Certification Course Agenda MongoDB Developer and Administrator Certification Course Agenda Lesson 1: NoSQL Database Introduction What is NoSQL? Why NoSQL? Difference Between RDBMS and NoSQL Databases Benefits of NoSQL Types of NoSQL

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

Real World Big Data Architecture - Splunk, Hadoop, RDBMS

Real World Big Data Architecture - Splunk, Hadoop, RDBMS Copyright 2015 Splunk Inc. Real World Big Data Architecture - Splunk, Hadoop, RDBMS Raanan Dagan, Big Data Specialist, Splunk Disclaimer During the course of this presentagon, we may make forward looking

More information

In-memory data pipeline and warehouse at scale using Spark, Spark SQL, Tachyon and Parquet

In-memory data pipeline and warehouse at scale using Spark, Spark SQL, Tachyon and Parquet In-memory data pipeline and warehouse at scale using Spark, Spark SQL, Tachyon and Parquet Ema Iancuta iorhian@gmail.com Radu Chilom radu.chilom@gmail.com Buzzwords Berlin - 2015 Big data analytics / machine

More information

Big Data Open Source Stack vs. Traditional Stack for BI and Analytics

Big Data Open Source Stack vs. Traditional Stack for BI and Analytics Big Data Open Source Stack vs. Traditional Stack for BI and Analytics Part I By Sam Poozhikala, Vice President Customer Solutions at StratApps Inc. 4/4/2014 You may contact Sam Poozhikala at spoozhikala@stratapps.com.

More information

Firebird meets NoSQL (Apache HBase) Case Study

Firebird meets NoSQL (Apache HBase) Case Study Firebird meets NoSQL (Apache HBase) Case Study Firebird Conference 2011 Luxembourg 25.11.2011 26.11.2011 Thomas Steinmaurer DI +43 7236 3343 896 thomas.steinmaurer@scch.at www.scch.at Michael Zwick DI

More information

Hadoop IST 734 SS CHUNG

Hadoop IST 734 SS CHUNG Hadoop IST 734 SS CHUNG Introduction What is Big Data?? Bulk Amount Unstructured Lots of Applications which need to handle huge amount of data (in terms of 500+ TB per day) If a regular machine need to

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

Oracle Big Data Spatial & Graph Social Network Analysis - Case Study

Oracle Big Data Spatial & Graph Social Network Analysis - Case Study Oracle Big Data Spatial & Graph Social Network Analysis - Case Study Mark Rittman, CTO, Rittman Mead OTN EMEA Tour, May 2016 info@rittmanmead.com www.rittmanmead.com @rittmanmead About the Speaker Mark

More information

Oracle Data Integrator for Big Data. Alex Kotopoulis Senior Principal Product Manager

Oracle Data Integrator for Big Data. Alex Kotopoulis Senior Principal Product Manager Oracle Data Integrator for Big Data Alex Kotopoulis Senior Principal Product Manager Hands on Lab - Oracle Data Integrator for Big Data Abstract: This lab will highlight to Developers, DBAs and Architects

More information

Move Data from Oracle to Hadoop and Gain New Business Insights

Move Data from Oracle to Hadoop and Gain New Business Insights Move Data from Oracle to Hadoop and Gain New Business Insights Written by Lenka Vanek, senior director of engineering, Dell Software Abstract Today, the majority of data for transaction processing resides

More information

HBase Schema Design. NoSQL Ma4ers, Cologne, April 2013. Lars George Director EMEA Services

HBase Schema Design. NoSQL Ma4ers, Cologne, April 2013. Lars George Director EMEA Services HBase Schema Design NoSQL Ma4ers, Cologne, April 2013 Lars George Director EMEA Services About Me Director EMEA Services @ Cloudera ConsulFng on Hadoop projects (everywhere) Apache Commi4er HBase and Whirr

More information

brief contents PART 1 BACKGROUND AND FUNDAMENTALS...1 PART 2 PART 3 BIG DATA PATTERNS...253 PART 4 BEYOND MAPREDUCE...385

brief contents PART 1 BACKGROUND AND FUNDAMENTALS...1 PART 2 PART 3 BIG DATA PATTERNS...253 PART 4 BEYOND MAPREDUCE...385 brief contents PART 1 BACKGROUND AND FUNDAMENTALS...1 1 Hadoop in a heartbeat 3 2 Introduction to YARN 22 PART 2 DATA LOGISTICS...59 3 Data serialization working with text and beyond 61 4 Organizing and

More information

Integrating Cloudera and SAP HANA

Integrating Cloudera and SAP HANA Integrating Cloudera and SAP HANA Version: 103 Table of Contents Introduction/Executive Summary 4 Overview of Cloudera Enterprise 4 Data Access 5 Apache Hive 5 Data Processing 5 Data Integration 5 Partner

More information

Deploying Hadoop with Manager

Deploying Hadoop with Manager Deploying Hadoop with Manager SUSE Big Data Made Easier Peter Linnell / Sales Engineer plinnell@suse.com Alejandro Bonilla / Sales Engineer abonilla@suse.com 2 Hadoop Core Components 3 Typical Hadoop Distribution

More information

Hadoop Job Oriented Training Agenda

Hadoop Job Oriented Training Agenda 1 Hadoop Job Oriented Training Agenda Kapil CK hdpguru@gmail.com Module 1 M o d u l e 1 Understanding Hadoop This module covers an overview of big data, Hadoop, and the Hortonworks Data Platform. 1.1 Module

More information

ITG Software Engineering

ITG Software Engineering Introduction to Cloudera Course ID: Page 1 Last Updated 12/15/2014 Introduction to Cloudera Course : This 5 day course introduces the student to the Hadoop architecture, file system, and the Hadoop Ecosystem.

More information

Big Data

<Insert Picture Here> Big Data Big Data Kevin Kalmbach Principal Sales Consultant, Public Sector Engineered Systems Program Agenda What is Big Data and why it is important? What is your Big

More information

Cloudera Certified Developer for Apache Hadoop

Cloudera Certified Developer for Apache Hadoop Cloudera CCD-333 Cloudera Certified Developer for Apache Hadoop Version: 5.6 QUESTION NO: 1 Cloudera CCD-333 Exam What is a SequenceFile? A. A SequenceFile contains a binary encoding of an arbitrary number

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

Apache Hadoop: The Pla/orm for Big Data. Amr Awadallah CTO, Founder, Cloudera, Inc. aaa@cloudera.com, twicer: @awadallah

Apache Hadoop: The Pla/orm for Big Data. Amr Awadallah CTO, Founder, Cloudera, Inc. aaa@cloudera.com, twicer: @awadallah Apache Hadoop: The Pla/orm for Big Data Amr Awadallah CTO, Founder, Cloudera, Inc. aaa@cloudera.com, twicer: @awadallah 1 The Problems with Current Data Systems BI Reports + Interac7ve Apps RDBMS (aggregated

More information

Performance Management in Big Data Applica6ons. Michael Kopp, Technology Strategist @mikopp

Performance Management in Big Data Applica6ons. Michael Kopp, Technology Strategist @mikopp Performance Management in Big Data Applica6ons Michael Kopp, Technology Strategist NoSQL: High Volume/Low Latency DBs Web Java Key Challenges 1) Even Distribu6on 2) Correct Schema and Access paperns 3)

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

Relational Databases for the Business Analyst

Relational Databases for the Business Analyst Relational Databases for the Business Analyst Mark Kurtz Sr. Systems Consulting Quest Software, Inc. mark.kurtz@quest.com 2010 Quest Software, Inc. ALL RIGHTS RESERVED Agenda The RDBMS and its role in

More information

Internals of Hadoop Application Framework and Distributed File System

Internals of Hadoop Application Framework and Distributed File System International Journal of Scientific and Research Publications, Volume 5, Issue 7, July 2015 1 Internals of Hadoop Application Framework and Distributed File System Saminath.V, Sangeetha.M.S Abstract- Hadoop

More information

Harnessing the Power of the Microsoft Cloud for Deep Data Analytics

Harnessing the Power of the Microsoft Cloud for Deep Data Analytics 1 Harnessing the Power of the Microsoft Cloud for Deep Data Analytics Today's Focus How you can operate your business more efficiently and effectively by tapping into Cloud based data analytics solutions

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

Big Data Visualization. Apache Spark and Zeppelin

Big Data Visualization. Apache Spark and Zeppelin Big Data Visualization using Apache Spark and Zeppelin Prajod Vettiyattil, Software Architect, Wipro Agenda Big Data and Ecosystem tools Apache Spark Apache Zeppelin Data Visualization Combining Spark

More information

What's New in SAS Data Management

What's New in SAS Data Management Paper SAS034-2014 What's New in SAS Data Management Nancy Rausch, SAS Institute Inc., Cary, NC; Mike Frost, SAS Institute Inc., Cary, NC, Mike Ames, SAS Institute Inc., Cary ABSTRACT The latest releases

More information

The Big Data Ecosystem at LinkedIn. Presented by Zhongfang Zhuang

The Big Data Ecosystem at LinkedIn. Presented by Zhongfang Zhuang The Big Data Ecosystem at LinkedIn Presented by Zhongfang Zhuang Based on the paper The Big Data Ecosystem at LinkedIn, written by Roshan Sumbaly, Jay Kreps, and Sam Shah. The Ecosystems Hadoop Ecosystem

More information

Crack Open Your Operational Database. Jamie Martin jameison.martin@salesforce.com September 24th, 2013

Crack Open Your Operational Database. Jamie Martin jameison.martin@salesforce.com September 24th, 2013 Crack Open Your Operational Database Jamie Martin jameison.martin@salesforce.com September 24th, 2013 Analytics on Operational Data Most analytics are derived from operational data Two canonical approaches

More information

Big Data Too Big To Ignore

Big Data Too Big To Ignore Big Data Too Big To Ignore Geert! Big Data Consultant and Manager! Currently finishing a 3 rd Big Data project! IBM & Cloudera Certified! IBM & Microsoft Big Data Partner 2 Agenda! Defining Big Data! Introduction

More information

ETL Implementation for Extreme Performance. Presented By: Mrs. Catherine Boeving Mr. Greg Wade

ETL Implementation for Extreme Performance. Presented By: Mrs. Catherine Boeving Mr. Greg Wade 1 ETL Implementation for Extreme Performance Presented By: Mrs. Catherine Boeving Mr. Greg Wade 2 Topics About Us Tips and tricks for high performance mapping design Pipeline techniques to improve throughput

More information

Chukwa, Hadoop subproject, 37, 131 Cloud enabled big data, 4 Codd s 12 rules, 1 Column-oriented databases, 18, 52 Compression pattern, 83 84

Chukwa, Hadoop subproject, 37, 131 Cloud enabled big data, 4 Codd s 12 rules, 1 Column-oriented databases, 18, 52 Compression pattern, 83 84 Index A Amazon Web Services (AWS), 50, 58 Analytics engine, 21 22 Apache Kafka, 38, 131 Apache S4, 38, 131 Apache Sqoop, 37, 131 Appliance pattern, 104 105 Application architecture, big data analytics

More information

HBase A Comprehensive Introduction. James Chin, Zikai Wang Monday, March 14, 2011 CS 227 (Topics in Database Management) CIT 367

HBase A Comprehensive Introduction. James Chin, Zikai Wang Monday, March 14, 2011 CS 227 (Topics in Database Management) CIT 367 HBase A Comprehensive Introduction James Chin, Zikai Wang Monday, March 14, 2011 CS 227 (Topics in Database Management) CIT 367 Overview Overview: History Began as project by Powerset to process massive

More information

From Dolphins to Elephants: Real-Time MySQL to Hadoop Replication with Tungsten

From Dolphins to Elephants: Real-Time MySQL to Hadoop Replication with Tungsten From Dolphins to Elephants: Real-Time MySQL to Hadoop Replication with Tungsten MC Brown, Director of Documentation Linas Virbalas, Senior Software Engineer. About Tungsten Replicator Open source drop-in

More information

HareDB HBase Client Web Version USER MANUAL HAREDB TEAM

HareDB HBase Client Web Version USER MANUAL HAREDB TEAM 2013 HareDB HBase Client Web Version USER MANUAL HAREDB TEAM Connect to HBase... 2 Connection... 3 Connection Manager... 3 Add a new Connection... 4 Alter Connection... 6 Delete Connection... 6 Clone Connection...

More information

Using RDBMS, NoSQL or Hadoop?

Using RDBMS, NoSQL or Hadoop? Using RDBMS, NoSQL or Hadoop? DOAG Conference 2015 Jean- Pierre Dijcks Big Data Product Management Server Technologies Copyright 2014 Oracle and/or its affiliates. All rights reserved. Data Ingest 2 Ingest

More information

Using MySQL for Big Data Advantage Integrate for Insight Sastry Vedantam sastry.vedantam@oracle.com

Using MySQL for Big Data Advantage Integrate for Insight Sastry Vedantam sastry.vedantam@oracle.com Using MySQL for Big Data Advantage Integrate for Insight Sastry Vedantam sastry.vedantam@oracle.com Agenda The rise of Big Data & Hadoop MySQL in the Big Data Lifecycle MySQL Solutions for Big Data Q&A

More information

Data-Intensive Programming. Timo Aaltonen Department of Pervasive Computing

Data-Intensive Programming. Timo Aaltonen Department of Pervasive Computing Data-Intensive Programming Timo Aaltonen Department of Pervasive Computing Data-Intensive Programming Lecturer: Timo Aaltonen University Lecturer timo.aaltonen@tut.fi Assistants: Henri Terho and Antti

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

SQL on NoSQL (and all of the data) With Apache Drill

SQL on NoSQL (and all of the data) With Apache Drill SQL on NoSQL (and all of the data) With Apache Drill Richard Shaw Solutions Architect @aggress Who What Where NoSQL DB Very Nice People Open Source Distributed Storage & Compute Platform (up to 1000s of

More information

CS 378 Big Data Programming. Lecture 2 Map- Reduce

CS 378 Big Data Programming. Lecture 2 Map- Reduce CS 378 Big Data Programming Lecture 2 Map- Reduce MapReduce Large data sets are not new What characterizes a problem suitable for MR? Most or all of the data is processed But viewed in small increments

More information

Introduction to Hadoop HDFS and Ecosystems. Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data

Introduction to Hadoop HDFS and Ecosystems. Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data Introduction to Hadoop HDFS and Ecosystems ANSHUL MITTAL Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data Topics The goal of this presentation is to give

More information

Roadmap Talend : découvrez les futures fonctionnalités de Talend

Roadmap Talend : découvrez les futures fonctionnalités de Talend Roadmap Talend : découvrez les futures fonctionnalités de Talend Cédric Carbone Talend Connect 9 octobre 2014 Talend 2014 1 Connecting the Data-Driven Enterprise Talend 2014 2 Agenda Agenda Why a Unified

More information

Apache Sqoop. A Data Transfer Tool for Hadoop

Apache Sqoop. A Data Transfer Tool for Hadoop Apache Sqoop A Data Transfer Tool for Hadoop Arvind Prabhakar, Cloudera Inc. Sept 21, 2011 What is Sqoop? Allows easy import and export of data from structured data stores: o Relational Database o Enterprise

More information

Storage of Structured Data: BigTable and HBase. New Trends In Distributed Systems MSc Software and Systems

Storage of Structured Data: BigTable and HBase. New Trends In Distributed Systems MSc Software and Systems Storage of Structured Data: BigTable and HBase 1 HBase and BigTable HBase is Hadoop's counterpart of Google's BigTable BigTable meets the need for a highly scalable storage system for structured data Provides

More information

MySQL and Hadoop Big Data Integration

MySQL and Hadoop Big Data Integration MySQL and Hadoop Big Data Integration Unlocking New Insight A MySQL White Paper December 2012 Table of Contents Introduction... 3 The Lifecycle of Big Data... 4 MySQL in the Big Data Lifecycle... 4 Acquire:

More information

ILMT Central Team. Performance tuning. IBM License Metric Tool 9.0 Questions & Answers. 2014 IBM Corporation

ILMT Central Team. Performance tuning. IBM License Metric Tool 9.0 Questions & Answers. 2014 IBM Corporation ILMT Central Team Performance tuning IBM License Metric Tool 9.0 Questions & Answers ILMT Central Team Contact details LMTHelp@us.ibm.com https://ibm.biz/ilmt_forum https://ibm.biz/ilmt_wiki https://ibm.biz/ilmt_youtube

More information

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract

W H I T E P A P E R. Deriving Intelligence from Large Data Using Hadoop and Applying Analytics. Abstract W H I T E P A P E R Deriving Intelligence from Large Data Using Hadoop and Applying Analytics Abstract This white paper is focused on discussing the challenges facing large scale data processing and the

More information

A Big Data Storage Architecture for the Second Wave David Sunny Sundstrom Principle Product Director, Storage Oracle

A Big Data Storage Architecture for the Second Wave David Sunny Sundstrom Principle Product Director, Storage Oracle A Big Data Storage Architecture for the Second Wave David Sunny Sundstrom Principle Product Director, Storage Oracle Growth in Data Diversity and Usage 1.8 Zettabytes of Data in 2011, 20x Growth by 2020

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