RUN BETTER SAP AG. All rights reserved. 1

Size: px
Start display at page:

Download "RUN BETTER. 2013 SAP AG. All rights reserved. 1"

Transcription

1 RUN BETTER 2013 SAP AG. All rights reserved. 1

2 Project SEEED Processing of Encrypted Data in SAP HANA Internal

3 Outsourcing Data to the Cloud What do you think are the problems? 2013 SAP AG. All rights reserved. Internal 3

4 Outsourcing Data to the Cloud What do you think are the problems? Legally Organisationally Technically Provisioning Lifecycle Management... Security Attacker Models? 2013 SAP AG. All rights reserved. Internal 4

5 Agenda What is Project SEEED? Basic Architecture & Attacker Model DEMO ecolumns / Proxy re-encryption Detailed Architecture in SAP HANA Research Outlook 2013 SAP AG. All rights reserved. Internal 5

6 Processing SQL directly over encrypted data in the cloud is feasible. SEEED is not only encryption at rest but directly processing encrypted data. Different cryptographic algorithms support different SQL operators (select, =, <, >, sum(), count(), groupby(), ). Primary keys NEVER leave the client! Even if the cloud operator makes a memory dump he will not learn anything SAP AG. All rights reserved. Internal 6

7 Searching Encrypted Data in HANA - DEMO aggregating encrypted columns joining encrypted columns User View HANA View 2013 SAP AG. All rights reserved. Internal 7

8 Try it yourself in our Sandbox 2013 SAP AG. All rights reserved. Internal 8

9 Processing Encrypted Data in the Cloud 2013 SAP AG. All rights reserved. Internal 9

10 Process Summary No decryption needed! Keys stay with customer! Encrypted Data Encrypted Result Cleartext Result SQL Query (e.g. Total Sales) Decryption Total Sales: 42 HANA On-Premise 2013 SAP AG. All rights reserved. Internal 10

11 Attacker Model: Technical Consequences Encryption can take place in different layers Traditionally Encrypted Database Client SEEED Client Plaintext Query Optimization and Execution Relational Operators File and Access Methods Buffer Management Disk Space Management Plaintext Encrypted Query Optimization and Execution Relational Operators File and Access Methods Memory Management Persistency Encrypted Disk 2013 SAP AG. All rights reserved. Internal 11

12 Accepting the Trade-offs Performance Security Functionality 2013 SAP AG. All rights reserved. Internal 12

13 Performance Figures (Median of Server Runtimes in Milliseconds for Table size 1,000,000 rows) Test Case SEEED Plain Impact Server-Side Only Exact Search x Equi-Join x Grouping with Aggregation (Sum) x Incl. Client- Side Order by Aggregate (Sum) x TPCH Q4 2, x Q5 1, x 2013 SAP AG. All rights reserved. Internal 13

14 Analysis 2013 SAP AG. All rights reserved. Internal 14

15 Crypto Library Decrypti on UDF SQL Engine Database Tables SEEED Architecture Components Web Application SEEED JDBC Driver Query Rewriting Logic OLAP Engine Encrypted Sum Operator Crypto Library HANA JDBC R Key Store Temporary Database Web Application Server Database Server 2013 SAP AG. All rights reserved. Internal 15

16 SEEED Customers retain full Data Ownership when moving from OP to HANA as a Cloud DB - Obtain guarantees about deletion of cloud data (NB: No feature of SEEED yet, unsure about R&D effort) Secure Deletion of Cloud Data On-Premise to Cloud Provisioning - Automated analysis, labeling data & specifying policies (eg on financial or health care data) - HANA-based massively parallelized Encryption Processing Encrypted Data in the Cloud - Process SQL directly over encrypted data - Enforce access control through cryptography - Allow for standard cloud maintenance operations 2013 SAP AG. All rights reserved. Internal 16

17 SEEED Encryption Cluster Encryption of complete clear text tables Distributed data encryption across several clusters Currently implemented using Apache s Hadoop* Exemplary use case Largest table has 16 columns and 6 Mio rows Total: 9 Tables 14.7 Mio rows Time for encryption Single threaded: ~ 6 months Distributed Encryption: ~ 48 hours *Apache Hadoop: SAP AG. All rights reserved. Internal 17

18 Summary SEEED is not only encryption at rest but directly processing encrypted data. Different cryptographic algorithms support different SQL operators. (select, =, <, >, sum(), count(), groupby(), ). Primary Keys NEVER leave the client! Even if the cloud operator makes a memory dump he will not learn anything. We support the entire SQL syntax and 17 out of 22 TPCH benchmark queries SAP AG. All rights reserved. Internal 18

19 Contact Dr. Andreas Schaad Research Manager Dr. Florian Kerschbaum Chief Expert The Team: Axel, Isabelle, Mathias, Martin H., Walter, Tobias, Patrick, Florian H SAP AG. All rights reserved. Internal 19

SAP HANA als Entwicklungsplattform. Matthias Kupczak HANA Center of Excellence (CoE) Switzerland SAP Forum - 12. Juni 2013

SAP HANA als Entwicklungsplattform. Matthias Kupczak HANA Center of Excellence (CoE) Switzerland SAP Forum - 12. Juni 2013 SAP HANA als Entwicklungsplattform Matthias Kupczak HANA Center of Excellence (CoE) Switzerland SAP Forum - 12. Juni 2013 1 SAP HANA A Database for application logic? 2 3 SAP HANA 4 Extended Services (XS)

More information

Data Management for SAP Business Suite and SAP S/4HANA. Robert Wassermann, SAP SE

Data Management for SAP Business Suite and SAP S/4HANA. Robert Wassermann, SAP SE Data Management for SAP Business Suite and SAP S/4HANA Robert Wassermann, SAP SE Disclaimer This presentation outlines our general product direction and should not be relied on in making a purchase decision.

More information

SAP HANA - Main Memory Technology: A Challenge for Development of Business Applications. Jürgen Primsch, SAP AG July 2011

SAP HANA - Main Memory Technology: A Challenge for Development of Business Applications. Jürgen Primsch, SAP AG July 2011 SAP HANA - Main Memory Technology: A Challenge for Development of Business Applications Jürgen Primsch, SAP AG July 2011 Why In-Memory? Information at the Speed of Thought Imagine access to business data,

More information

Encrypting Data at Rest

Encrypting Data at Rest Encrypting Data at Rest Ken Beer Ryan Holland November 2014 Contents Contents Abstract Introduction The Key to Encryption: Who Controls the Keys? Model A: You control the encryption method and the entire

More information

PLATFORM ENCRYPTlON ARCHlTECTURE. How to protect sensitive data without locking up business functionality.

PLATFORM ENCRYPTlON ARCHlTECTURE. How to protect sensitive data without locking up business functionality. PLATFORM ENCRYPTlON ARCHlTECTURE How to protect sensitive data without locking up business functionality. 1 Contents 03 The need for encryption Balancing data security with business needs Principles and

More information

SAP HANA SAP s In-Memory Database. Dr. Martin Kittel, SAP HANA Development January 16, 2013

SAP HANA SAP s In-Memory Database. Dr. Martin Kittel, SAP HANA Development January 16, 2013 SAP HANA SAP s In-Memory Database Dr. Martin Kittel, SAP HANA Development January 16, 2013 Disclaimer This presentation outlines our general product direction and should not be relied on in making a purchase

More information

Architectures for Big Data Analytics A database perspective

Architectures for Big Data Analytics A database perspective Architectures for Big Data Analytics A database perspective Fernando Velez Director of Product Management Enterprise Information Management, SAP June 2013 Outline Big Data Analytics Requirements Spectrum

More information

SAP HANA. Markus Fath, SAP HANA Product Management June 2013

SAP HANA. Markus Fath, SAP HANA Product Management June 2013 SAP HANA Markus Fath, SAP HANA Product Management June 2013 Agenda What is SAP HANA? How do I use SAP HANA? How can I develop applications on SAP HANA? That s it? 2013 SAP AG. All rights reserved. Public

More information

Exploring the Synergistic Relationships Between BPC, BW and HANA

Exploring the Synergistic Relationships Between BPC, BW and HANA September 9 11, 2013 Anaheim, California Exploring the Synergistic Relationships Between, BW and HANA Sheldon Edelstein SAP Database and Solution Management Learning Points SAP Business Planning and Consolidation

More information

SAP HANA In-Memory Database Sizing Guideline

SAP HANA In-Memory Database Sizing Guideline SAP HANA In-Memory Database Sizing Guideline Version 1.4 August 2013 2 DISCLAIMER Sizing recommendations apply for certified hardware only. Please contact hardware vendor for suitable hardware configuration.

More information

SQL Access to OpenEdge Apps

SQL Access to OpenEdge Apps SQL Access to OpenEdge Apps Building a highly performant, embeddable, custom ODBC, JDBC, ADO.NET or OLE.DB driver with OpenAccess. Laurent KIEFFER Solutions Engineer 23 Janvier 2014 OpenAccess in Progress

More information

Big Data Technologies Compared June 2014

Big Data Technologies Compared June 2014 Big Data Technologies Compared June 2014 Agenda What is Big Data Big Data Technology Comparison Summary Other Big Data Technologies Questions 2 What is Big Data by Example The SKA Telescope is a new development

More information

Big Data Analytics - Accelerated. stream-horizon.com

Big Data Analytics - Accelerated. stream-horizon.com Big Data Analytics - Accelerated stream-horizon.com Legacy ETL platforms & conventional Data Integration approach Unable to meet latency & data throughput demands of Big Data integration challenges Based

More information

Big Telco, Bigger DW Demands: Moving Towards SQL-on-Hadoop

Big Telco, Bigger DW Demands: Moving Towards SQL-on-Hadoop Big Telco, Bigger DW Demands: Moving Towards SQL-on-Hadoop Keuntae Park IT Manager of SK Telecom, South Korea s largest wireless communications provider Work on commercial products (~ 12) T-FS: Distributed

More information

Performance Verbesserung von SAP BW mit SQL Server Columnstore

Performance Verbesserung von SAP BW mit SQL Server Columnstore Performance Verbesserung von SAP BW mit SQL Server Columnstore Martin Merdes Senior Software Development Engineer Microsoft Deutschland GmbH SAP BW/SQL Server Porting AGENDA 1. Columnstore Overview 2.

More information

Data Management in SAP Environments

Data Management in SAP Environments Data Management in SAP Environments the Big Data Impact Berlin, June 2012 Dr. Wolfgang Martin Analyst, ibond Partner und Ventana Research Advisor Data Management in SAP Environments Big Data What it is

More information

How To Create A Large Data Storage System

How To Create A Large Data Storage System UT DALLAS Erik Jonsson School of Engineering & Computer Science Secure Data Storage and Retrieval in the Cloud Agenda Motivating Example Current work in related areas Our approach Contributions of this

More information

Hadoop. MPDL-Frühstück 9. Dezember 2013 MPDL INTERN

Hadoop. MPDL-Frühstück 9. Dezember 2013 MPDL INTERN Hadoop MPDL-Frühstück 9. Dezember 2013 MPDL INTERN Understanding Hadoop Understanding Hadoop What's Hadoop about? Apache Hadoop project (started 2008) downloadable open-source software library (current

More information

05.0 Application Development

05.0 Application Development Number 5.0 Policy Owner Information Security and Technology Policy Application Development Effective 01/01/2014 Last Revision 12/30/2013 Department of Innovation and Technology 5. Application Development

More information

The Arts & Science of Tuning HANA models for Performance. Abani Pattanayak, SAP HANA CoE Nov 12, 2015

The Arts & Science of Tuning HANA models for Performance. Abani Pattanayak, SAP HANA CoE Nov 12, 2015 The Arts & Science of Tuning HANA models for Performance Abani Pattanayak, SAP HANA CoE Nov 12, 2015 Disclaimer This presentation outlines our general product direction and should not be relied on in making

More information

Put a Firewall in Your JVM Securing Java Applications!

Put a Firewall in Your JVM Securing Java Applications! Put a Firewall in Your JVM Securing Java Applications! Prateep Bandharangshi" Waratek Director of Client Security Solutions" @prateep" Hussein Badakhchani" Deutsche Bank Ag London Vice President" @husseinb"

More information

ORACLE DATABASE 10G ENTERPRISE EDITION

ORACLE DATABASE 10G ENTERPRISE EDITION ORACLE DATABASE 10G ENTERPRISE EDITION OVERVIEW Oracle Database 10g Enterprise Edition is ideal for enterprises that ENTERPRISE EDITION For enterprises of any size For databases up to 8 Exabytes in size.

More information

The New Economics of SAP Business Suite powered by SAP HANA. 2013 SAP AG. All rights reserved. 2

The New Economics of SAP Business Suite powered by SAP HANA. 2013 SAP AG. All rights reserved. 2 The New Economics of SAP Business Suite powered by SAP HANA 2013 SAP AG. All rights reserved. 2 COMMON MYTH Running SAP Business Suite on SAP HANA is more expensive than on a classical database 2013 2014

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

Building Advanced Data Models with SAP HANA. Werner Steyn Customer Solution Adoption, SAP Labs, LLC.

Building Advanced Data Models with SAP HANA. Werner Steyn Customer Solution Adoption, SAP Labs, LLC. Building Advanced Data Models with SAP HANA Werner Steyn Customer Solution Adoption, SAP Labs, LLC. Disclaimer This presentation outlines our general product direction and should not be relied on in making

More information

Performance Counters. Microsoft SQL. Technical Data Sheet. Overview:

Performance Counters. Microsoft SQL. Technical Data Sheet. Overview: Performance Counters Technical Data Sheet Microsoft SQL Overview: Key Features and Benefits: Key Definitions: Performance counters are used by the Operations Management Architecture (OMA) to collect data

More information

Rackspace Cloud Databases and Container-based Virtualization

Rackspace Cloud Databases and Container-based Virtualization Rackspace Cloud Databases and Container-based Virtualization August 2012 J.R. Arredondo @jrarredondo Page 1 of 6 INTRODUCTION When Rackspace set out to build the Cloud Databases product, we asked many

More information

The safer, easier way to help you pass any IT exams. Exam : C_HANASUP_1. SAP Certified Support Associate - SAP HANA 1.0.

The safer, easier way to help you pass any IT exams. Exam : C_HANASUP_1. SAP Certified Support Associate - SAP HANA 1.0. Exam : C_HANASUP_1 Title : SAP Certified Support Associate - SAP HANA 1.0 Version : DEMO 1 / 4 1.In the SAP HANA studio, which of the following SQL thread details can you monitor by using the Threads subtab

More information

Tackling The Challenges of Big Data. Tackling The Challenges of Big Data Big Data Systems. Security is a Negative Goal. Nickolai Zeldovich

Tackling The Challenges of Big Data. Tackling The Challenges of Big Data Big Data Systems. Security is a Negative Goal. Nickolai Zeldovich Introduction is a Negative Goal No way for adversary to violate security policy Difficult to achieve: many avenues of attack 1 Example: Confidential Database Application server Database server Approach:

More information

Enhance your Analytics using Logical Data Warehouse and Data Virtualization thru SAP HANA smart data access SESSION CODE: 0210

Enhance your Analytics using Logical Data Warehouse and Data Virtualization thru SAP HANA smart data access SESSION CODE: 0210 Enhance your Analytics using Logical Data Warehouse and Data Virtualization thru SAP HANA smart data access Balaji Krishna, Product Management SAP HANA Platform. SAP Labs @balajivkrishna SESSION CODE:

More information

An Overview of SAP BW Powered by HANA. Al Weedman

An Overview of SAP BW Powered by HANA. Al Weedman An Overview of SAP BW Powered by HANA Al Weedman About BICP SAP HANA, BOBJ, and BW Implementations The BICP is a focused SAP Business Intelligence consulting services organization focused specifically

More information

What s Cooking in KNIME

What s Cooking in KNIME What s Cooking in KNIME Thomas Gabriel Copyright 2015 KNIME.com AG Agenda Querying NoSQL Databases Database Improvements & Big Data Copyright 2015 KNIME.com AG 2 Querying NoSQL Databases MongoDB & CouchDB

More information

Harnessing Big Data with KNIME

Harnessing Big Data with KNIME Harnessing Big Data with KNIME Tobias Kötter KNIME.com Agenda The three V s of Big Data Big Data Extension and Databases Nodes Demo 2 Variety, Volume, Velocity Variety: integrating heterogeneous data (and

More information

Protect SAP HANA Based on SUSE Linux Enterprise Server with SEP sesam

Protect SAP HANA Based on SUSE Linux Enterprise Server with SEP sesam Protect SAP HANA Based on SUSE Linux Enterprise Server with SEP sesam Many companies of different sizes and from all sectors of industry already use SAP s inmemory appliance, HANA benefiting from quicker

More information

DBMS / Business Intelligence, SQL Server

DBMS / Business Intelligence, SQL Server DBMS / Business Intelligence, SQL Server Orsys, with 30 years of experience, is providing high quality, independant State of the Art seminars and hands-on courses corresponding to the needs of IT professionals.

More information

MATLAB in Business Critical Applications Arvind Hosagrahara Principal Technical Consultant Arvind.Hosagrahara@mathworks.

MATLAB in Business Critical Applications Arvind Hosagrahara Principal Technical Consultant Arvind.Hosagrahara@mathworks. MATLAB in Business Critical Applications Arvind Hosagrahara Principal Technical Consultant Arvind.Hosagrahara@mathworks.com 310-819-3970 2014 The MathWorks, Inc. 1 Outline Problem Statement The Big Picture

More information

SAP HANA SPS 09 - What s New? Security

SAP HANA SPS 09 - What s New? Security SAP HANA SPS 09 - What s New? Security (Delta from SPS 08 to SPS 09) Andrea Kristen, SAP HANA Product Management November, 2014 2014 SAP AG or an SAP affiliate company. All rights reserved. 1 Agenda Authentication

More information

Salesforce Platform Encryption Implementation Guide

Salesforce Platform Encryption Implementation Guide Salesforce Platform Encryption Implementation Guide @salesforcedocs Last updated: December 10, 2015 Copyright 2000 2015 salesforce.com, inc. All rights reserved. Salesforce is a registered trademark of

More information

Automating Big Data Benchmarking for Different Architectures with ALOJA

Automating Big Data Benchmarking for Different Architectures with ALOJA www.bsc.es Jan 2016 Automating Big Data Benchmarking for Different Architectures with ALOJA Nicolas Poggi, Postdoc Researcher Agenda 1. Intro on Hadoop performance 1. Current scenario and problematic 2.

More information

Monitis Project Proposals for AUA. September 2014, Yerevan, Armenia

Monitis Project Proposals for AUA. September 2014, Yerevan, Armenia Monitis Project Proposals for AUA September 2014, Yerevan, Armenia Distributed Log Collecting and Analysing Platform Project Specifications Category: Big Data and NoSQL Software Requirements: Apache Hadoop

More information

Managing & Evolving A Large Software Workforce A SAP Case Study

Managing & Evolving A Large Software Workforce A SAP Case Study Managing & Evolving A Large Software Workforce A SAP Case Study Dr. VISHAL SIKKA MEMBER OF THE EXECUTIVE BOARD SAP AG October 26, 2012 2012 SAP AG. All rights reserved. 1 SAP - A Global Leader in Providing

More information

Graph Mining on Big Data System. Presented by Hefu Chai, Rui Zhang, Jian Fang

Graph Mining on Big Data System. Presented by Hefu Chai, Rui Zhang, Jian Fang Graph Mining on Big Data System Presented by Hefu Chai, Rui Zhang, Jian Fang Outline * Overview * Approaches & Environment * Results * Observations * Notes * Conclusion Overview * What we have done? *

More information

Auditing the Security of an SAP HANA Implementation

Auditing the Security of an SAP HANA Implementation Produced by Wellesley Information Services, LLC, publisher of SAPinsider. 2015 Wellesley Information Services. All rights reserved. Auditing the Security of an SAP HANA Implementation Juan Perez-Etchegoyen

More information

Federated SQL on Hadoop and Beyond: Leveraging Apache Geode to Build a Poor Man's SAP HANA. by Christian Tzolov @christzolov

Federated SQL on Hadoop and Beyond: Leveraging Apache Geode to Build a Poor Man's SAP HANA. by Christian Tzolov @christzolov Federated SQL on Hadoop and Beyond: Leveraging Apache Geode to Build a Poor Man's SAP HANA by Christian Tzolov @christzolov Whoami Christian Tzolov Technical Architect at Pivotal, BigData, Hadoop, SpringXD,

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

White paper FUJITSU Software Enterprise Postgres

White paper FUJITSU Software Enterprise Postgres White paper FUJITSU Software Enterprise Postgres Open Source Value, Enterprise Quality Strong growth in Database Management Systems (DBMSs) is expected to continue, making DBMS the largest single cost

More information

Copyright 2012, Oracle and/or its affiliates. All rights reserved.

Copyright 2012, Oracle and/or its affiliates. All rights reserved. 1 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any

More information

SAP HANA Backup and Recovery (Overview, SPS08)

SAP HANA Backup and Recovery (Overview, SPS08) SAP HANA Backup and Recovery (Overview, SPS08) Andrea Kristen, SAP HANA Product Management October 2014 Disclaimer This presentation outlines our general product direction and should not be relied on in

More information

Integrating Apache Spark with an Enterprise Data Warehouse

Integrating Apache Spark with an Enterprise Data Warehouse Integrating Apache Spark with an Enterprise Warehouse Dr. Michael Wurst, IBM Corporation Architect Spark/R/Python base Integration, In-base Analytics Dr. Toni Bollinger, IBM Corporation Senior Software

More information

SAP HANA SPS 09 - What s New? Administration & Monitoring

SAP HANA SPS 09 - What s New? Administration & Monitoring SAP HANA SPS 09 - What s New? Administration & Monitoring (Delta from SPS08 to SPS09) SAP HANA Product Management November, 2014 2014 SAP AG or an SAP affiliate company. All rights reserved. 1 Content

More information

I. System Activities that Impact End User Privacy

I. System Activities that Impact End User Privacy I. System Activities that Impact End User Privacy A. The Information Life Cycle a. Manual processes i. Interaction ii. Data entry b. Systems i. Operating and file ii. Database iii. Applications iv. Network

More information

Thick Client Application Security

Thick Client Application Security Thick Client Application Security Arindam Mandal (arindam.mandal@paladion.net) (http://www.paladion.net) January 2005 This paper discusses the critical vulnerabilities and corresponding risks in a two

More information

OLTP Meets Bigdata, Challenges, Options, and Future Saibabu Devabhaktuni

OLTP Meets Bigdata, Challenges, Options, and Future Saibabu Devabhaktuni OLTP Meets Bigdata, Challenges, Options, and Future Saibabu Devabhaktuni Agenda Database trends for the past 10 years Era of Big Data and Cloud Challenges and Options Upcoming database trends Q&A Scope

More information

Chapter 6 8/12/2015. Foundations of Business Intelligence: Databases and Information Management. Problem:

Chapter 6 8/12/2015. Foundations of Business Intelligence: Databases and Information Management. Problem: Foundations of Business Intelligence: Databases and Information Management VIDEO CASES Chapter 6 Case 1a: City of Dubuque Uses Cloud Computing and Sensors to Build a Smarter, Sustainable City Case 1b:

More information

GridGain In- Memory Data Fabric: UlCmate Speed and Scale for TransacCons and AnalyCcs

GridGain In- Memory Data Fabric: UlCmate Speed and Scale for TransacCons and AnalyCcs GridGain In- Memory Data Fabric: UlCmate Speed and Scale for TransacCons and AnalyCcs DMITRIY SETRAKYAN Founder & EVP Engineering @dsetrakyan www.gridgain.com #gridgain Agenda EvoluCon of In- Memory CompuCng

More information

The Inside Scoop on Hadoop

The Inside Scoop on Hadoop The Inside Scoop on Hadoop Orion Gebremedhin National Solutions Director BI & Big Data, Neudesic LLC. VTSP Microsoft Corp. Orion.Gebremedhin@Neudesic.COM B-orgebr@Microsoft.com @OrionGM The Inside Scoop

More information

SAP HANA Cloud Platform

SAP HANA Cloud Platform SAP HANA Cloud Platform Introduction Rui Nogueira, SAP AG - TIP CORE June 12 th, 2013 Building An Application For The Cloud 2013 SAP AG or an SAP affiliate company. All rights reserved. 2 Building an Enterprise-Ready

More information

Technical Challenges for Big Health Care Data. Donald Kossmann Systems Group Department of Computer Science ETH Zurich

Technical Challenges for Big Health Care Data. Donald Kossmann Systems Group Department of Computer Science ETH Zurich Technical Challenges for Big Health Care Data Donald Kossmann Systems Group Department of Computer Science ETH Zurich What is Big Data? technologies to automate experience Purpose answer difficult questions

More information

TE's Analytics on Hadoop and SAP HANA Using SAP Vora

TE's Analytics on Hadoop and SAP HANA Using SAP Vora TE's Analytics on Hadoop and SAP HANA Using SAP Vora Naveen Narra Senior Manager TE Connectivity Santha Kumar Rajendran Enterprise Data Architect TE Balaji Krishna - Director, SAP HANA Product Mgmt. -

More information

FINAL DoIT 11.03.2015 - v.4 PAYMENT CARD INDUSTRY DATA SECURITY STANDARDS APPLICATION DEVELOPMENT AND MAINTENANCE PROCEDURES

FINAL DoIT 11.03.2015 - v.4 PAYMENT CARD INDUSTRY DATA SECURITY STANDARDS APPLICATION DEVELOPMENT AND MAINTENANCE PROCEDURES Purpose: The Department of Information Technology (DoIT) is committed to developing secure applications. DoIT s System Development Methodology (SDM) and Application Development requirements ensure that

More information

MS-50401 - Designing and Optimizing Database Solutions with Microsoft SQL Server 2008

MS-50401 - Designing and Optimizing Database Solutions with Microsoft SQL Server 2008 MS-50401 - Designing and Optimizing Database Solutions with Microsoft SQL Server 2008 Table of Contents Introduction Audience At Completion Prerequisites Microsoft Certified Professional Exams Student

More information

Set Up Hortonworks Hadoop with SQL Anywhere

Set Up Hortonworks Hadoop with SQL Anywhere Set Up Hortonworks Hadoop with SQL Anywhere TABLE OF CONTENTS 1 INTRODUCTION... 3 2 INSTALL HADOOP ENVIRONMENT... 3 3 SET UP WINDOWS ENVIRONMENT... 5 3.1 Install Hortonworks ODBC Driver... 5 3.2 ODBC Driver

More information

SAP SE - Legal Requirements and Requirements

SAP SE - Legal Requirements and Requirements Finding the signals in the noise Niklas Packendorff @packendorff Solution Expert Analytics & Data Platform Legal disclaimer The information in this presentation is confidential and proprietary to SAP and

More information

Distributed Architecture of Oracle Database In-memory

Distributed Architecture of Oracle Database In-memory Distributed Architecture of Oracle Database In-memory Niloy Mukherjee, Shasank Chavan, Maria Colgan, Dinesh Das, Mike Gleeson, Sanket Hase, Allison Holloway, Hui Jin, Jesse Kamp, Kartik Kulkarni, Tirthankar

More information

Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities

Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities Technology Insight Paper Converged, Real-time Analytics Enabling Faster Decision Making and New Business Opportunities By John Webster February 2015 Enabling you to make the best technology decisions Enabling

More information

Independent process platform

Independent process platform Independent process platform Megatrend in infrastructure software Dr. Wolfram Jost CTO February 22, 2012 2 Agenda Positioning BPE Strategy Cloud Strategy Data Management Strategy ETS goes Mobile Each layer

More information

In-memory computing with SAP HANA

In-memory computing with SAP HANA In-memory computing with SAP HANA June 2015 Amit Satoor, SAP @asatoor 2015 SAP SE or an SAP affiliate company. All rights reserved. 1 Hyperconnectivity across people, business, and devices give rise to

More information

Securing Data at Rest: Database Encryption Solution using Empress Embedded Database

Securing Data at Rest: Database Encryption Solution using Empress Embedded Database Securing Data at Rest: Database Encryption Solution using Empress Embedded Database By: Srdjan Holovac Empress Software Inc. June 2012 White Paper Contents Introduction... 2 Importance of security... 2

More information

Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems

Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Towards a Thriving Data Economy: Open Data, Big Data, and Data Ecosystems Volker Markl volker.markl@tu-berlin.de dima.tu-berlin.de dfki.de/web/research/iam/ bbdc.berlin Based on my 2014 Vision Paper On

More information

Securing Data at Rest with Encryption

Securing Data at Rest with Encryption Securing Data at Rest with Encryption Ken Beer and Ryan Holland November 2013 (Please consult http://aws.amazon.com/whitepapers for the latest version of this whitepaper) Page 1 of 15 Abstract Organizational

More information

Cognos Performance Troubleshooting

Cognos Performance Troubleshooting Cognos Performance Troubleshooting Presenters James Salmon Marketing Manager James.Salmon@budgetingsolutions.co.uk Andy Ellis Senior BI Consultant Andy.Ellis@budgetingsolutions.co.uk Want to ask a question?

More information

SAP Business One analytics powered by SAP HANA An Overview

SAP Business One analytics powered by SAP HANA An Overview SAP Business One analytics powered by SAP HANA An Overview SAP Business One Analytics Platform What do Small Businesses expect? Small Business Owners need an analytics platform that is not a full-scale

More information

Talk Outline. Software as a Service. Software as a Service. Lecture 17: Providing Database as a Service. Professor Chen Li

Talk Outline. Software as a Service. Software as a Service. Lecture 17: Providing Database as a Service. Professor Chen Li ICS 4B: Transaction Processing and Distributed Data Management Lecture 7: Providing Database as a Service Talk Outline Software as a Service Database as a Service NetDB System Professor Chen Li Challenges

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

The Next Generation of Security Leaders

The Next Generation of Security Leaders The Next Generation of Security Leaders In an increasingly complex cyber world, there is a growing need for information security leaders who possess the breadth and depth of expertise necessary to establish

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

SAP Sybase SQL Anywhere New Features Improve Performance, Increase Security, and Ensure 24/7 Availability

SAP Sybase SQL Anywhere New Features Improve Performance, Increase Security, and Ensure 24/7 Availability SAP Sybase SQL Anywhere New Features Improve Performance, Increase, and Ensure 24/7 Availability This SAP paper summarizes the key business benefits and new functionality of release 16.0 of SAP Sybase

More information

SAP HANA PLATFORM Top Ten Questions for Choosing In-Memory Databases. Start Here

SAP HANA PLATFORM Top Ten Questions for Choosing In-Memory Databases. Start Here PLATFORM Top Ten Questions for Choosing In-Memory Databases Start Here PLATFORM Top Ten Questions for Choosing In-Memory Databases. Are my applications accelerated without manual intervention and tuning?.

More information

HP OO 10.X - SiteScope Monitoring Templates

HP OO 10.X - SiteScope Monitoring Templates HP OO Community Guides HP OO 10.X - SiteScope Monitoring Templates As with any application continuous automated monitoring is key. Monitoring is important in order to quickly identify potential issues,

More information

The safer, easier way to help you pass any IT exams. SAP Certified Application Associate - SAP HANA 1.0. Title : Version : Demo 1 / 5

The safer, easier way to help you pass any IT exams. SAP Certified Application Associate - SAP HANA 1.0. Title : Version : Demo 1 / 5 Exam : C_HANAIMP_1 Title : SAP Certified Application Associate - SAP HANA 1.0 Version : Demo 1 / 5 1.Which of the following nodes can you use when you create a calculation view with the SAP HANA studio

More information

SQL Server 2014 New Features/In- Memory Store. Juergen Thomas Microsoft Corporation

SQL Server 2014 New Features/In- Memory Store. Juergen Thomas Microsoft Corporation SQL Server 2014 New Features/In- Memory Store Juergen Thomas Microsoft Corporation AGENDA 1. SQL Server 2014 what and when 2. SQL Server 2014 In-Memory 3. SQL Server 2014 in IaaS scenarios 2 SQL Server

More information

Integrate Master Data with Big Data using Oracle Table Access for Hadoop

Integrate Master Data with Big Data using Oracle Table Access for Hadoop Integrate Master Data with Big Data using Oracle Table Access for Hadoop Kuassi Mensah Oracle Corporation Redwood Shores, CA, USA Keywords: Hadoop, BigData, Hive SQL, Spark SQL, HCatalog, StorageHandler

More information

ICOM 6005 Database Management Systems Design. Dr. Manuel Rodríguez Martínez Electrical and Computer Engineering Department Lecture 2 August 23, 2001

ICOM 6005 Database Management Systems Design. Dr. Manuel Rodríguez Martínez Electrical and Computer Engineering Department Lecture 2 August 23, 2001 ICOM 6005 Database Management Systems Design Dr. Manuel Rodríguez Martínez Electrical and Computer Engineering Department Lecture 2 August 23, 2001 Readings Read Chapter 1 of text book ICOM 6005 Dr. Manuel

More information

QLIKVIEW DATA FLOWS TECHNICAL BRIEF

QLIKVIEW DATA FLOWS TECHNICAL BRIEF QLIKVIEW DATA FLOWS TECHNICAL BRIEF A QlikView Technical Brief September 2013 qlikview.com Table of Contents Introduction 3 Overview 3 Data Sourcing 5 Loading and Modeling Data 6 Provisioning Data 9 Using

More information

ORACLE INSTANCE ARCHITECTURE

ORACLE INSTANCE ARCHITECTURE ORACLE INSTANCE ARCHITECTURE ORACLE ARCHITECTURE Oracle Database Instance Memory Architecture Process Architecture Application and Networking Architecture 2 INTRODUCTION TO THE ORACLE DATABASE INSTANCE

More information

Real Time Fraud Detection With Sequence Mining on Big Data Platform. Pranab Ghosh Big Data Consultant IEEE CNSV meeting, May 6 2014 Santa Clara, CA

Real Time Fraud Detection With Sequence Mining on Big Data Platform. Pranab Ghosh Big Data Consultant IEEE CNSV meeting, May 6 2014 Santa Clara, CA Real Time Fraud Detection With Sequence Mining on Big Data Platform Pranab Ghosh Big Data Consultant IEEE CNSV meeting, May 6 2014 Santa Clara, CA Open Source Big Data Eco System Query (NOSQL) : Cassandra,

More information

Chapter 7, System Design Architecture Organization. Construction. Software

Chapter 7, System Design Architecture Organization. Construction. Software Chapter 7, System Design Architecture Organization Object-Oriented Software Construction Armin B. Cremers, Tobias Rho, Daniel Speicher & Holger Mügge (based on Bruegge & Dutoit) Overview Where are we right

More information

CrashPlan Security SECURITY CONTEXT TECHNOLOGY

CrashPlan Security SECURITY CONTEXT TECHNOLOGY TECHNICAL SPECIFICATIONS CrashPlan Security CrashPlan is a continuous, multi-destination solution engineered to back up mission-critical data whenever and wherever it is created. Because mobile laptops

More information

Creating a universe on Hive with Hortonworks HDP 2.0

Creating a universe on Hive with Hortonworks HDP 2.0 Creating a universe on Hive with Hortonworks HDP 2.0 Learn how to create an SAP BusinessObjects Universe on top of Apache Hive 2 using the Hortonworks HDP 2.0 distribution Author(s): Company: Ajay Singh

More information

File System Encryption with Integrated User Management

File System Encryption with Integrated User Management File System Encryption with Integrated User Management Stefan Ludwig Corporate Technology Siemens AG, Munich fsfs@stefan-ludwig.de Prof. Dr. Winfried Kalfa Operating Systems Group Chemnitz University of

More information

WHAT S NEW IN SAS 9.4

WHAT S NEW IN SAS 9.4 WHAT S NEW IN SAS 9.4 PLATFORM, HPA & SAS GRID COMPUTING MICHAEL GODDARD CHIEF ARCHITECT SAS INSTITUTE, NEW ZEALAND SAS 9.4 WHAT S NEW IN THE PLATFORM Platform update SAS Grid Computing update Hadoop support

More information

SEC100 Secure Authentication and Data Transfer with SAP Single Sign-On. Public

SEC100 Secure Authentication and Data Transfer with SAP Single Sign-On. Public SEC100 Secure Authentication and Data Transfer with SAP Single Sign-On Public Speakers Las Vegas, Oct 19-23 Christian Cohrs, Area Product Owner Barcelona, Nov 10-12 Regine Schimmer, Product Management

More information

SAP HANA Security Guide

SAP HANA Security Guide PUBLIC SAP HANA Platform SPS 12 Document Version: 1.0 2016-05-11 Content 1 Important Critical Configurations.... 6 2 Introduction to SAP HANA Security....7 3 SAP HANA Security Patches....11 4 SAP HANA

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

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

Verfahren zur Absicherung von Apps. Dr. Ullrich Martini IHK, 4-12-2014

Verfahren zur Absicherung von Apps. Dr. Ullrich Martini IHK, 4-12-2014 Verfahren zur Absicherung von Apps Dr. Ullrich Martini IHK, 4-12-2014 Agenda Introducing G&D Problem Statement Available Security Technologies Smartcard Embedded Secure Element Virtualization Trusted Execution

More information

SAP HANA In-Memory in Virtualized Data Centers. Arne Arnold, SAP HANA Product Management January 2013

SAP HANA In-Memory in Virtualized Data Centers. Arne Arnold, SAP HANA Product Management January 2013 SAP HANA In-Memory in Virtualized Data Centers Arne Arnold, SAP HANA Product Management January 2013 Agenda Virtualization In-Memory Pros & Cons with In-Memory Computing Virtualized SAP HANA Platform What

More information

IN-MEMORY DATABASE SYSTEMS. Prof. Dr. Uta Störl Big Data Technologies: In-Memory DBMS - SoSe 2015 1

IN-MEMORY DATABASE SYSTEMS. Prof. Dr. Uta Störl Big Data Technologies: In-Memory DBMS - SoSe 2015 1 IN-MEMORY DATABASE SYSTEMS Prof. Dr. Uta Störl Big Data Technologies: In-Memory DBMS - SoSe 2015 1 Analytical Processing Today Separation of OLTP and OLAP Motivation Online Transaction Processing (OLTP)

More information

Database Performance with In-Memory Solutions

Database Performance with In-Memory Solutions Database Performance with In-Memory Solutions ABS Developer Days January 17th and 18 th, 2013 Unterföhring metafinanz / Carsten Herbe The goal of this presentation is to give you an understanding of in-memory

More information