The Evolution of Big Data Platforms and Data Science

Size: px
Start display at page:

Download "The Evolution of Big Data Platforms and Data Science"

Transcription

1 IBM Analytics The Evolution of Big Data Platforms and Data Science ECC Conference 2016 Brandon MacKenzie June 13, IBM Corporation

2 Hello, I m Brandon MacKenzie. I work at IBM. Data Science - Offering Management & Worldwide Technical Sales Advisory Member - Spark Technology Center Advisory Council Co-author - IBM Apache Spark Professional Certification Program MSc - University of Edinburgh 2

3 Data volume, variety, and velocity change but the goal of the Data Science remains the same Deliver and deploy model Understand problem and domain Communicate results Ingest data Evaluate Explore and understand data Create and build model Transform: shape Transform: clean 3

4 1 2 4

5 SQL: IBM SystemR 1970s Optimizer SQL Query: SELECT FROM WHERE Execution Plan Employee Skills Hardware Data

6 Declarative Machine Learning: IBM SystemML 2000s Optimizer ML Call: SVM.train() Execution Plan Employee Skills Hardware Data

7 And then there was a movement in open source Apache Spark, finally, a chance to push declarative data science mainstream!

8 Apache Spark One of the most important open source projects in a decade Significantly faster than MapReduce APIs for Python, R, Java, Scala Combine SQL, streaming, complex analytics Runs everywhere World's largest investment in Apache Spark Opened Spark Technology Center 3500 IBM Researchers and Developers to Spark

9 Apache Spark Blends Multiple Data Types, Sources, & Workloads Execute SQL Statements Streaming Analytics via Micro-batch M.L. and Statistical Algorithms Distributed Graph Processing Framework Spark SQL Spark Streaming MLlib Machine Learning Graph General compute engine Basic I/O functions Task dispatching Scheduling Spark Core Data Sources IBM Cloud Public Cloud Cloud Apps On-Premises BigInsights (HDFS) Cloudant (DBaaS) dashdb (Analytics) 9 SQDB (Manage d DB2) Swift (Object Storage)

10 Motivation for Apache Spark Traditional Approach: MapReduce jobs for complex jobs, interactive query, and online event-hub processing involves lots of (slow) disk I/O Input HDFS Read CPU Iteration 1 Memory HDFS Write HDFS Read CPU Iteration 2 Memory HDFS Write Result 10

11 Motivation for Apache Spark Traditional Approach: MapReduce jobs for complex jobs, interactive query, and online event-hub processing involves lots of (slow) disk I/O Input HDFS Read CPU Iteration 1 Memory HDFS Write HDFS Read CPU Iteration 2 Memory HDFS Write Result Solution: Keep more data in-memory with a new distributed execution engine Input HDFS Read CPU Iteration 1 Memory Zero Read/Write Disk Bottleneck CPU Iteration 2 Memory Chain Job Output into New Job Input x faster than network & disk

12 Comparing MapReduce and Spark Spark Hadoop MapReduce Storage No built-in storage (in-memory) On-disk only Operations Map, Reduce, Join, Sample, etc. Map and Reduce Execution Model Batch, interactive, streaming Batch only Programming Environments Python, Scala, Java, and R Java only Spark is a unified platform for data integration Contrast with the many distinct distributions & tools for Hadoop Spark follows lazy evaluation of execution graphs Optimizes jobs, reduces wait states, and allows easier pipelining of tasks Spark lowers the resource overhead for starting or shuffling jobs Less expensive than MapReduce 12

13 Infusing Analytics Applications with Apache Spark Spark is a unified framework for building analytics applications Performant Architecture Productive Workflows Leverages Existing Investments Continually Improving Project RedRock

14 IBM donates SystemML to open source to strengthen Spark machine learning IBM Research Apache SystemML systemml.apache.org

15 Cost Models for Heterogeneous Architectures Optimizer Improving Scala Automating Model Selection via Hyperparameter Heuristics 15

16 Example of how GPU Acceleration can be added to SystemML Optimizer Language Algebraic Rewriter Piggybacking Compiler Memory Estimator Cost Model Instructions Runtime Operator Selector Recompiler In-memory Instructions GPU Instructions Spark Job Instructions Java Application (SystemML) GPU Memory Manager In-Memory Single Node Cluster CUDA4J Java Native Interface GPU Memory Manager cublas cusparse Custom GPU Kernels 16

17 All of this innovation in Big Data Platforms will continue to flow into OPTIMIZERs so that Data Scientists can focus on being Data Scientists Deliver and deploy model Understand problem and domain Communicate results Ingest data Evaluate Explore and understand data Create and build model Transform: shape Transform: clean 17

18 So, where can I Learn More? 1 Spark Technology Center spark.tc 2 Apache SystemML systemml.apache.org 3 IBM Data Science Experience datascience.ibm.com

19

20 20

IBM Data Science Experience White paper. SparkR. Transforming R into a tool for big data analytics

IBM Data Science Experience White paper. SparkR. Transforming R into a tool for big data analytics IBM Data Science Experience White paper R Transforming R into a tool for big data analytics 2 R Executive summary This white paper introduces R, a package for the R statistical programming language that

More information

Apache Spark is a fast and general-purpose engine for large-scale data processing Spark aims at achieving the following goals in the Big data context

Apache Spark is a fast and general-purpose engine for large-scale data processing Spark aims at achieving the following goals in the Big data context 1 Apache Spark is a fast and general-purpose engine for large-scale data processing Spark aims at achieving the following goals in the Big data context Generality: diverse workloads, operators, job sizes

More information

Analyzing Flight Data

Analyzing Flight Data IBM Analytics Analyzing Flight Data Jeff Carlson Rich Tarro July 21, 2016 2016 IBM Corporation Agenda Spark Overview a quick review Introduction to Graph Processing and Spark GraphX GraphX Overview Demo

More information

2/26/2017. Originally developed at the University of California - Berkeley's AMPLab

2/26/2017. Originally developed at the University of California - Berkeley's AMPLab Apache is a fast and general engine for large-scale data processing aims at achieving the following goals in the Big data context Generality: diverse workloads, operators, job sizes Low latency: sub-second

More information

Unifying Big Data Workloads in Apache Spark

Unifying Big Data Workloads in Apache Spark Unifying Big Data Workloads in Apache Spark Hossein Falaki @mhfalaki Outline What s Apache Spark Why Unification Evolution of Unification Apache Spark + Databricks Q & A What s Apache Spark What is Apache

More information

CSE 444: Database Internals. Lecture 23 Spark

CSE 444: Database Internals. Lecture 23 Spark CSE 444: Database Internals Lecture 23 Spark References Spark is an open source system from Berkeley Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. Matei

More information

DATA SCIENCE USING SPARK: AN INTRODUCTION

DATA SCIENCE USING SPARK: AN INTRODUCTION DATA SCIENCE USING SPARK: AN INTRODUCTION TOPICS COVERED Introduction to Spark Getting Started with Spark Programming in Spark Data Science with Spark What next? 2 DATA SCIENCE PROCESS Exploratory Data

More information

Blended Learning Outline: Developer Training for Apache Spark and Hadoop (180404a)

Blended Learning Outline: Developer Training for Apache Spark and Hadoop (180404a) Blended Learning Outline: Developer Training for Apache Spark and Hadoop (180404a) Cloudera s Developer Training for Apache Spark and Hadoop delivers the key concepts and expertise need to develop high-performance

More information

An Introduction to Apache Spark

An Introduction to Apache Spark An Introduction to Apache Spark 1 History Developed in 2009 at UC Berkeley AMPLab. Open sourced in 2010. Spark becomes one of the largest big-data projects with more 400 contributors in 50+ organizations

More information

Hadoop 2.x Core: YARN, Tez, and Spark. Hortonworks Inc All Rights Reserved

Hadoop 2.x Core: YARN, Tez, and Spark. Hortonworks Inc All Rights Reserved Hadoop 2.x Core: YARN, Tez, and Spark YARN Hadoop Machine Types top-of-rack switches core switch client machines have client-side software used to access a cluster to process data master nodes run Hadoop

More information

Khadija Souissi. Auf z Systems November IBM z Systems Mainframe Event 2016

Khadija Souissi. Auf z Systems November IBM z Systems Mainframe Event 2016 Khadija Souissi Auf z Systems 07. 08. November 2016 @ IBM z Systems Mainframe Event 2016 Acknowledgements Apache Spark, Spark, Apache, and the Spark logo are trademarks of The Apache Software Foundation.

More information

Deep Learning Frameworks with Spark and GPUs

Deep Learning Frameworks with Spark and GPUs Deep Learning Frameworks with Spark and GPUs Abstract Spark is a powerful, scalable, real-time data analytics engine that is fast becoming the de facto hub for data science and big data. However, in parallel,

More information

Spark Overview. Professor Sasu Tarkoma.

Spark Overview. Professor Sasu Tarkoma. Spark Overview 2015 Professor Sasu Tarkoma www.cs.helsinki.fi Apache Spark Spark is a general-purpose computing framework for iterative tasks API is provided for Java, Scala and Python The model is based

More information

Understanding the latent value in all content

Understanding the latent value in all content Understanding the latent value in all content John F. Kennedy (JFK) November 22, 1963 INGEST ENRICH EXPLORE Cognitive skills Data in any format, any Azure store Search Annotations Data Cloud Intelligence

More information

Talend Big Data Sandbox. Big Data Insights Cookbook

Talend Big Data Sandbox. Big Data Insights Cookbook Overview Pre-requisites Setup & Configuration Hadoop Distribution Download Demo (Scenario) Overview Pre-requisites Setup & Configuration Hadoop Distribution Demo (Scenario) About this cookbook What is

More information

Analytic Cloud with. Shelly Garion. IBM Research -- Haifa IBM Corporation

Analytic Cloud with. Shelly Garion. IBM Research -- Haifa IBM Corporation Analytic Cloud with Shelly Garion IBM Research -- Haifa 2014 IBM Corporation Why Spark? Apache Spark is a fast and general open-source cluster computing engine for big data processing Speed: Spark is capable

More information

Chapter 4: Apache Spark

Chapter 4: Apache Spark Chapter 4: Apache Spark Lecture Notes Winter semester 2016 / 2017 Ludwig-Maximilians-University Munich PD Dr. Matthias Renz 2015, Based on lectures by Donald Kossmann (ETH Zürich), as well as Jure Leskovec,

More information

Databricks, an Introduction

Databricks, an Introduction Databricks, an Introduction Chuck Connell, Insight Digital Innovation Insight Presentation Speaker Bio Senior Data Architect at Insight Digital Innovation Focus on Azure big data services HDInsight/Hadoop,

More information

BIG DATA COURSE CONTENT

BIG DATA COURSE CONTENT BIG DATA COURSE CONTENT [I] Get Started with Big Data Microsoft Professional Orientation: Big Data Duration: 12 hrs Course Content: Introduction Course Introduction Data Fundamentals Introduction to Data

More information

Big data systems 12/8/17

Big data systems 12/8/17 Big data systems 12/8/17 Today Basic architecture Two levels of scheduling Spark overview Basic architecture Cluster Manager Cluster Cluster Manager 64GB RAM 32 cores 64GB RAM 32 cores 64GB RAM 32 cores

More information

About Codefrux While the current trends around the world are based on the internet, mobile and its applications, we try to make the most out of it. As for us, we are a well established IT professionals

More information

New Developments in Spark

New Developments in Spark New Developments in Spark And Rethinking APIs for Big Data Matei Zaharia and many others What is Spark? Unified computing engine for big data apps > Batch, streaming and interactive Collection of high-level

More information

Principal Software Engineer Red Hat Emerging Technology June 24, 2015

Principal Software Engineer Red Hat Emerging Technology June 24, 2015 USING APACHE SPARK FOR ANALYTICS IN THE CLOUD William C. Benton Principal Software Engineer Red Hat Emerging Technology June 24, 2015 ABOUT ME Distributed systems and data science in Red Hat's Emerging

More information

Big Data Hadoop Developer Course Content. Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours

Big Data Hadoop Developer Course Content. Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours Big Data Hadoop Developer Course Content Who is the target audience? Big Data Hadoop Developer - The Complete Course Course Duration: 45 Hours Complete beginners who want to learn Big Data Hadoop Professionals

More information

Microsoft Azure Databricks for data engineering. Building production data pipelines with Apache Spark in the cloud

Microsoft Azure Databricks for data engineering. Building production data pipelines with Apache Spark in the cloud Microsoft Azure Databricks for data engineering Building production data pipelines with Apache Spark in the cloud Azure Databricks As companies continue to set their sights on making data-driven decisions

More information

UNIFY DATA AT MEMORY SPEED. Haoyuan (HY) Li, Alluxio Inc. VAULT Conference 2017

UNIFY DATA AT MEMORY SPEED. Haoyuan (HY) Li, Alluxio Inc. VAULT Conference 2017 UNIFY DATA AT MEMORY SPEED Haoyuan (HY) Li, CEO @ Alluxio Inc. VAULT Conference 2017 March 2017 HISTORY Started at UC Berkeley AMPLab In Summer 2012 Originally named as Tachyon Rebranded to Alluxio in

More information

Apache Spark 2.0. Matei

Apache Spark 2.0. Matei Apache Spark 2.0 Matei Zaharia @matei_zaharia What is Apache Spark? Open source data processing engine for clusters Generalizes MapReduce model Rich set of APIs and libraries In Scala, Java, Python and

More information

Bringing Data to Life

Bringing Data to Life Bringing Data to Life Data management and Visualization Techniques Benika Hall Rob Harrison Corporate Model Risk March 16, 2018 Introduction Benika Hall Analytic Consultant Wells Fargo - Corporate Model

More information

Modern Data Warehouse The New Approach to Azure BI

Modern Data Warehouse The New Approach to Azure BI Modern Data Warehouse The New Approach to Azure BI History On-Premise SQL Server Big Data Solutions Technical Barriers Modern Analytics Platform On-Premise SQL Server Big Data Solutions Modern Analytics

More information

Activator Library. Focus on maximizing the value of your data, gain business insights, increase your team s productivity, and achieve success.

Activator Library. Focus on maximizing the value of your data, gain business insights, increase your team s productivity, and achieve success. Focus on maximizing the value of your data, gain business insights, increase your team s productivity, and achieve success. ACTIVATORS Designed to give your team assistance when you need it most without

More information

Accelerate Big Data Insights

Accelerate Big Data Insights Accelerate Big Data Insights Executive Summary An abundance of information isn t always helpful when time is of the essence. In the world of big data, the ability to accelerate time-to-insight can not

More information

Big Data Architect.

Big Data Architect. Big Data Architect www.austech.edu.au WHAT IS BIG DATA ARCHITECT? A big data architecture is designed to handle the ingestion, processing, and analysis of data that is too large or complex for traditional

More information

Hadoop. Introduction / Overview

Hadoop. Introduction / Overview Hadoop Introduction / Overview Preface We will use these PowerPoint slides to guide us through our topic. Expect 15 minute segments of lecture Expect 1-4 hour lab segments Expect minimal pretty pictures

More information

Webinar Series TMIP VISION

Webinar Series TMIP VISION Webinar Series TMIP VISION TMIP provides technical support and promotes knowledge and information exchange in the transportation planning and modeling community. Today s Goals To Consider: Parallel Processing

More information

CSC 261/461 Database Systems Lecture 24. Spring 2017 MW 3:25 pm 4:40 pm January 18 May 3 Dewey 1101

CSC 261/461 Database Systems Lecture 24. Spring 2017 MW 3:25 pm 4:40 pm January 18 May 3 Dewey 1101 CSC 261/461 Database Systems Lecture 24 Spring 2017 MW 3:25 pm 4:40 pm January 18 May 3 Dewey 1101 Announcements Term Paper due on April 20 April 23 Project 1 Milestone 4 is out Due on 05/03 But I would

More information

Scalable Tools - Part I Introduction to Scalable Tools

Scalable Tools - Part I Introduction to Scalable Tools Scalable Tools - Part I Introduction to Scalable Tools Adisak Sukul, Ph.D., Lecturer, Department of Computer Science, adisak@iastate.edu http://web.cs.iastate.edu/~adisak/mbds2018/ Scalable Tools session

More information

Blended Learning Outline: Cloudera Data Analyst Training (171219a)

Blended Learning Outline: Cloudera Data Analyst Training (171219a) Blended Learning Outline: Cloudera Data Analyst Training (171219a) Cloudera Univeristy s data analyst training course will teach you to apply traditional data analytics and business intelligence skills

More information

Security and Performance advances with Oracle Big Data SQL

Security and Performance advances with Oracle Big Data SQL Security and Performance advances with Oracle Big Data SQL Jean-Pierre Dijcks Oracle Redwood Shores, CA, USA Key Words SQL, Oracle, Database, Analytics, Object Store, Files, Big Data, Big Data SQL, Hadoop,

More information

Processing of big data with Apache Spark

Processing of big data with Apache Spark Processing of big data with Apache Spark JavaSkop 18 Aleksandar Donevski AGENDA What is Apache Spark? Spark vs Hadoop MapReduce Application Requirements Example Architecture Application Challenges 2 WHAT

More information

HDInsight > Hadoop. October 12, 2017

HDInsight > Hadoop. October 12, 2017 HDInsight > Hadoop October 12, 2017 2 Introduction Mark Hudson >20 years mixing technology with data >10 years with CapTech Microsoft Certified IT Professional Business Intelligence Member of the Richmond

More information

Digital Enterprise Platform for Live Business. Kevin Liu SAP Greater China, Vice President General Manager of Big Data and Platform BU

Digital Enterprise Platform for Live Business. Kevin Liu SAP Greater China, Vice President General Manager of Big Data and Platform BU Digital Enterprise Platform for Live Business Kevin Liu SAP Greater China, Vice President General Manager of Big Data and Platform BU Rethinking the Future Competing in today s marketplace means leveraging

More information

OPERATIONALIZING MACHINE LEARNING USING GPU ACCELERATED, IN-DATABASE ANALYTICS

OPERATIONALIZING MACHINE LEARNING USING GPU ACCELERATED, IN-DATABASE ANALYTICS OPERATIONALIZING MACHINE LEARNING USING GPU ACCELERATED, IN-DATABASE ANALYTICS 1 Why GPUs? A Tale of Numbers 100x Performance Increase Infrastructure Cost Savings Performance 100x gains over traditional

More information

Overview. : Cloudera Data Analyst Training. Course Outline :: Cloudera Data Analyst Training::

Overview. : Cloudera Data Analyst Training. Course Outline :: Cloudera Data Analyst Training:: Module Title Duration : Cloudera Data Analyst Training : 4 days Overview Take your knowledge to the next level Cloudera University s four-day data analyst training course will teach you to apply traditional

More information

Oracle Big Data Connectors

Oracle Big Data Connectors Oracle Big Data Connectors Oracle Big Data Connectors is a software suite that integrates processing in Apache Hadoop distributions with operations in Oracle Database. It enables the use of Hadoop to process

More information

Cloud Computing & Visualization

Cloud Computing & Visualization Cloud Computing & Visualization Workflows Distributed Computation with Spark Data Warehousing with Redshift Visualization with Tableau #FIUSCIS School of Computing & Information Sciences, Florida International

More information

Apache Spark 2 X Cookbook Cloud Ready Recipes For Analytics And Data Science

Apache Spark 2 X Cookbook Cloud Ready Recipes For Analytics And Data Science Apache Spark 2 X Cookbook Cloud Ready Recipes For Analytics And Data Science We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing

More information

CERTIFICATE IN SOFTWARE DEVELOPMENT LIFE CYCLE IN BIG DATA AND BUSINESS INTELLIGENCE (SDLC-BD & BI)

CERTIFICATE IN SOFTWARE DEVELOPMENT LIFE CYCLE IN BIG DATA AND BUSINESS INTELLIGENCE (SDLC-BD & BI) CERTIFICATE IN SOFTWARE DEVELOPMENT LIFE CYCLE IN BIG DATA AND BUSINESS INTELLIGENCE (SDLC-BD & BI) The Certificate in Software Development Life Cycle in BIGDATA, Business Intelligence and Tableau program

More information

Overview. Prerequisites. Course Outline. Course Outline :: Apache Spark Development::

Overview. Prerequisites. Course Outline. Course Outline :: Apache Spark Development:: Title Duration : Apache Spark Development : 4 days Overview Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized

More information

Integrate MATLAB Analytics into Enterprise Applications

Integrate MATLAB Analytics into Enterprise Applications Integrate Analytics into Enterprise Applications Aurélie Urbain MathWorks Consulting Services 2015 The MathWorks, Inc. 1 Data Analytics Workflow Data Acquisition Data Analytics Analytics Integration Business

More information

Research challenges in data-intensive computing The Stratosphere Project Apache Flink

Research challenges in data-intensive computing The Stratosphere Project Apache Flink Research challenges in data-intensive computing The Stratosphere Project Apache Flink Seif Haridi KTH/SICS haridi@kth.se e2e-clouds.org Presented by: Seif Haridi May 2014 Research Areas Data-intensive

More information

Cloud Computing 3. CSCI 4850/5850 High-Performance Computing Spring 2018

Cloud Computing 3. CSCI 4850/5850 High-Performance Computing Spring 2018 Cloud Computing 3 CSCI 4850/5850 High-Performance Computing Spring 2018 Tae-Hyuk (Ted) Ahn Department of Computer Science Program of Bioinformatics and Computational Biology Saint Louis University Learning

More information

WHITEPAPER. MemSQL Enterprise Feature List

WHITEPAPER. MemSQL Enterprise Feature List WHITEPAPER MemSQL Enterprise Feature List 2017 MemSQL Enterprise Feature List DEPLOYMENT Provision and deploy MemSQL anywhere according to your desired cluster configuration. On-Premises: Maximize infrastructure

More information

Introduction to Big-Data

Introduction to Big-Data Introduction to Big-Data Ms.N.D.Sonwane 1, Mr.S.P.Taley 2 1 Assistant Professor, Computer Science & Engineering, DBACER, Maharashtra, India 2 Assistant Professor, Information Technology, DBACER, Maharashtra,

More information

From Single Purpose to Multi Purpose Data Lakes. Thomas Niewel Technical Sales Director DACH Denodo Technologies March, 2019

From Single Purpose to Multi Purpose Data Lakes. Thomas Niewel Technical Sales Director DACH Denodo Technologies March, 2019 From Single Purpose to Multi Purpose Data Lakes Thomas Niewel Technical Sales Director DACH Denodo Technologies March, 2019 Agenda Data Lakes Multiple Purpose Data Lakes Customer Example Demo Takeaways

More information

Rickard Linck Client Technical Professional Core Database and Lifecycle Management Common Analytic Engine Cloud Data Servers On-Premise Data Servers

Rickard Linck Client Technical Professional Core Database and Lifecycle Management Common Analytic Engine Cloud Data Servers On-Premise Data Servers Rickard Linck Client Technical Professional Core Database and Lifecycle Management Common Analytic Engine Cloud Data Servers On-Premise Data Servers Watson Data Platform Reference Architecture Business

More information

MapR Enterprise Hadoop

MapR Enterprise Hadoop 2014 MapR Technologies 2014 MapR Technologies 1 MapR Enterprise Hadoop Top Ranked Cloud Leaders 500+ Customers 2014 MapR Technologies 2 Key MapR Advantage Partners Business Services APPLICATIONS & OS ANALYTICS

More information

Analytics in Spark. Yanlei Diao Tim Hunter. Slides Courtesy of Ion Stoica, Matei Zaharia and Brooke Wenig

Analytics in Spark. Yanlei Diao Tim Hunter. Slides Courtesy of Ion Stoica, Matei Zaharia and Brooke Wenig Analytics in Spark Yanlei Diao Tim Hunter Slides Courtesy of Ion Stoica, Matei Zaharia and Brooke Wenig Outline 1. A brief history of Big Data and Spark 2. Technical summary of Spark 3. Unified analytics

More information

Apache Hadoop 3. Balazs Gaspar Sales Engineer CEE & CIS Cloudera, Inc. All rights reserved.

Apache Hadoop 3. Balazs Gaspar Sales Engineer CEE & CIS Cloudera, Inc. All rights reserved. Apache Hadoop 3 Balazs Gaspar Sales Engineer CEE & CIS balazs@cloudera.com 1 We believe data can make what is impossible today, possible tomorrow 2 We empower people to transform complex data into clear

More information

Syncsort DMX-h. Simplifying Big Data Integration. Goals of the Modern Data Architecture SOLUTION SHEET

Syncsort DMX-h. Simplifying Big Data Integration. Goals of the Modern Data Architecture SOLUTION SHEET SOLUTION SHEET Syncsort DMX-h Simplifying Big Data Integration Goals of the Modern Data Architecture Data warehouses and mainframes are mainstays of traditional data architectures and still play a vital

More information

Integrate MATLAB Analytics into Enterprise Applications

Integrate MATLAB Analytics into Enterprise Applications Integrate Analytics into Enterprise Applications Dr. Roland Michaely 2015 The MathWorks, Inc. 1 Data Analytics Workflow Access and Explore Data Preprocess Data Develop Predictive Models Integrate Analytics

More information

Saving ETL Costs Through Data Virtualization Across The Enterprise

Saving ETL Costs Through Data Virtualization Across The Enterprise Saving ETL Costs Through Virtualization Across The Enterprise IBM Virtualization Manager for z/os Marcos Caurim z Analytics Technical Sales Specialist 2017 IBM Corporation What is Wrong with Status Quo?

More information

Cloud, Big Data & Linear Algebra

Cloud, Big Data & Linear Algebra Cloud, Big Data & Linear Algebra Shelly Garion IBM Research -- Haifa 2014 IBM Corporation What is Big Data? 2 Global Data Volume in Exabytes What is Big Data? 2005 2012 2017 3 Global Data Volume in Exabytes

More information

Spark Over RDMA: Accelerate Big Data SC Asia 2018 Ido Shamay Mellanox Technologies

Spark Over RDMA: Accelerate Big Data SC Asia 2018 Ido Shamay Mellanox Technologies Spark Over RDMA: Accelerate Big Data SC Asia 2018 Ido Shamay 1 Apache Spark - Intro Spark within the Big Data ecosystem Data Sources Data Acquisition / ETL Data Storage Data Analysis / ML Serving 3 Apache

More information

An Introduction to Apache Spark Big Data Madison: 29 July William Red Hat, Inc.

An Introduction to Apache Spark Big Data Madison: 29 July William Red Hat, Inc. An Introduction to Apache Spark Big Data Madison: 29 July 2014 William Benton @willb Red Hat, Inc. About me At Red Hat for almost 6 years, working on distributed computing Currently contributing to Spark,

More information

Fast Innovation requires Fast IT

Fast Innovation requires Fast IT Fast Innovation requires Fast IT Cisco Data Virtualization Puneet Kumar Bhugra Business Solutions Manager 1 Challenge In Data, Big Data & Analytics Siloed, Multiple Sources Business Outcomes Business Opportunity:

More information

Spark, Shark and Spark Streaming Introduction

Spark, Shark and Spark Streaming Introduction Spark, Shark and Spark Streaming Introduction Tushar Kale tusharkale@in.ibm.com June 2015 This Talk Introduction to Shark, Spark and Spark Streaming Architecture Deployment Methodology Performance References

More information

Embedded Technosolutions

Embedded Technosolutions Hadoop Big Data An Important technology in IT Sector Hadoop - Big Data Oerie 90% of the worlds data was generated in the last few years. Due to the advent of new technologies, devices, and communication

More information

Information empowerment for your evolving data ecosystem

Information empowerment for your evolving data ecosystem Information empowerment for your evolving data ecosystem Highlights Enables better results for critical projects and key analytics initiatives Ensures the information is trusted, consistent and governed

More information

Creating a Recommender System. An Elasticsearch & Apache Spark approach

Creating a Recommender System. An Elasticsearch & Apache Spark approach Creating a Recommender System An Elasticsearch & Apache Spark approach My Profile SKILLS Álvaro Santos Andrés Big Data & Analytics Solution Architect in Ericsson with more than 12 years of experience focused

More information

Certified Big Data Hadoop and Spark Scala Course Curriculum

Certified Big Data Hadoop and Spark Scala Course Curriculum Certified Big Data Hadoop and Spark Scala Course Curriculum The Certified Big Data Hadoop and Spark Scala course by DataFlair is a perfect blend of indepth theoretical knowledge and strong practical skills

More information

MODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS

MODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS MODERN BIG DATA DESIGN PATTERNS CASE DRIVEN DESINGS SUJEE MANIYAM FOUNDER / PRINCIPAL @ ELEPHANT SCALE www.elephantscale.com sujee@elephantscale.com HI, I M SUJEE MANIYAM Founder / Principal @ ElephantScale

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

Storage for HPC, HPDA and Machine Learning (ML)

Storage for HPC, HPDA and Machine Learning (ML) for HPC, HPDA and Machine Learning (ML) Frank Kraemer, IBM Systems Architect mailto:kraemerf@de.ibm.com IBM Data Management for Autonomous Driving (AD) significantly increase development efficiency by

More information

About the Tutorial. Audience. Prerequisites. Copyright and Disclaimer. PySpark

About the Tutorial. Audience. Prerequisites. Copyright and Disclaimer. PySpark About the Tutorial Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can work with RDDs in Python

More information

IBM dashdb Local. Using a software-defined environment in a private cloud to enable hybrid data warehousing. Evolving the data warehouse

IBM dashdb Local. Using a software-defined environment in a private cloud to enable hybrid data warehousing. Evolving the data warehouse IBM dashdb Local Using a software-defined environment in a private cloud to enable hybrid data warehousing Evolving the data warehouse Managing a large-scale, on-premises data warehouse environments to

More information

Big Data with R and Hadoop

Big Data with R and Hadoop Big Data with R and Hadoop Jamie F Olson June 11, 2015 R and Hadoop Review various tools for leveraging Hadoop from R MapReduce Spark Hive/Impala Revolution R 2 / 52 Scaling R to Big Data R has scalability

More information

Data Sharing Made Easier through Programmable Metadata. University of Wisconsin-Madison

Data Sharing Made Easier through Programmable Metadata. University of Wisconsin-Madison Data Sharing Made Easier through Programmable Metadata Zhe Zhang IBM Research! Remzi Arpaci-Dusseau University of Wisconsin-Madison How do applications share data today? Syncing data between storage systems:

More information

Oracle Big Data. A NA LYT ICS A ND MA NAG E MENT.

Oracle Big Data. A NA LYT ICS A ND MA NAG E MENT. Oracle Big Data. A NALYTICS A ND MANAG E MENT. Oracle Big Data: Redundância. Compatível com ecossistema Hadoop, HIVE, HBASE, SPARK. Integração com Cloudera Manager. Possibilidade de Utilização da Linguagem

More information

Big Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara

Big Data Technology Ecosystem. Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara Big Data Technology Ecosystem Mark Burnette Pentaho Director Sales Engineering, Hitachi Vantara Agenda End-to-End Data Delivery Platform Ecosystem of Data Technologies Mapping an End-to-End Solution Case

More information

Apache Ignite - Using a Memory Grid for Heterogeneous Computation Frameworks A Use Case Guided Explanation. Chris Herrera Hashmap

Apache Ignite - Using a Memory Grid for Heterogeneous Computation Frameworks A Use Case Guided Explanation. Chris Herrera Hashmap Apache Ignite - Using a Memory Grid for Heterogeneous Computation Frameworks A Use Case Guided Explanation Chris Herrera Hashmap Topics Who - Key Hashmap Team Members The Use Case - Our Need for a Memory

More information

IBM Db2 Event Store Simplifying and Accelerating Storage and Analysis of Fast Data. IBM Db2 Event Store

IBM Db2 Event Store Simplifying and Accelerating Storage and Analysis of Fast Data. IBM Db2 Event Store IBM Db2 Event Store Simplifying and Accelerating Storage and Analysis of Fast Data IBM Db2 Event Store Disclaimer The information contained in this presentation is provided for informational purposes only.

More information

The Stratosphere Platform for Big Data Analytics

The Stratosphere Platform for Big Data Analytics The Stratosphere Platform for Big Data Analytics Hongyao Ma Franco Solleza April 20, 2015 Stratosphere Stratosphere Stratosphere Big Data Analytics BIG Data Heterogeneous datasets: structured / unstructured

More information

Onto Petaflops with Kubernetes

Onto Petaflops with Kubernetes Onto Petaflops with Kubernetes Vishnu Kannan Google Inc. vishh@google.com Key Takeaways Kubernetes can manage hardware accelerators at Scale Kubernetes provides a playground for ML ML journey with Kubernetes

More information

Impala. A Modern, Open Source SQL Engine for Hadoop. Yogesh Chockalingam

Impala. A Modern, Open Source SQL Engine for Hadoop. Yogesh Chockalingam Impala A Modern, Open Source SQL Engine for Hadoop Yogesh Chockalingam Agenda Introduction Architecture Front End Back End Evaluation Comparison with Spark SQL Introduction Why not use Hive or HBase?

More information

GPU ACCELERATED DATABASE MANAGEMENT SYSTEMS

GPU ACCELERATED DATABASE MANAGEMENT SYSTEMS CIS 601 - Graduate Seminar Presentation 1 GPU ACCELERATED DATABASE MANAGEMENT SYSTEMS PRESENTED BY HARINATH AMASA CSU ID: 2697292 What we will talk about.. Current problems GPU What are GPU Databases GPU

More information

Workload Characterization and Optimization of TPC-H Queries on Apache Spark

Workload Characterization and Optimization of TPC-H Queries on Apache Spark Workload Characterization and Optimization of TPC-H Queries on Apache Spark Tatsuhiro Chiba and Tamiya Onodera IBM Research - Tokyo April. 17-19, 216 IEEE ISPASS 216 @ Uppsala, Sweden Overview IBM Research

More information

Machine Learning and SystemML. Nikolay Manchev Data Scientist Europe E-

Machine Learning and SystemML. Nikolay Manchev Data Scientist Europe E- Machine Learning and SystemML Nikolay Manchev Data Scientist Europe E- mail: nmanchev@uk.ibm.com @nikolaymanchev A Simple Problem In this activity, you will analyze the relationship between educational

More information

Lecture 11 Hadoop & Spark

Lecture 11 Hadoop & Spark Lecture 11 Hadoop & Spark Dr. Wilson Rivera ICOM 6025: High Performance Computing Electrical and Computer Engineering Department University of Puerto Rico Outline Distributed File Systems Hadoop Ecosystem

More information

Franck Mercier. Technical Solution Professional Data + AI Azure Databricks

Franck Mercier. Technical Solution Professional Data + AI Azure Databricks Franck Mercier Technical Solution Professional Data + AI http://aka.ms/franck @FranmerMS Azure Databricks Thanks to our sponsors Global Gold Silver Bronze Microsoft JetBrains Rubrik Delphix Solution OMD

More information

IBM DB2 Analytics Accelerator Trends and Directions

IBM DB2 Analytics Accelerator Trends and Directions March, 2017 IBM DB2 Analytics Accelerator Trends and Directions DB2 Analytics Accelerator for z/os on Cloud Namik Hrle IBM Fellow Peter Bendel IBM STSM Disclaimer IBM s statements regarding its plans,

More information

Latest from the Lab: What's New Machine Learning Sam Buhler - Machine Learning Product/Offering Manager

Latest from the Lab: What's New Machine Learning Sam Buhler - Machine Learning Product/Offering Manager Latest from the Lab: What's New Machine Learning Sam Buhler - Machine Learning Product/Offering Manager Please Note IBM s statements regarding its plans, directions, and intent are subject to change or

More information

Accelerating Spark Workloads using GPUs

Accelerating Spark Workloads using GPUs Accelerating Spark Workloads using GPUs Rajesh Bordawekar, Minsik Cho, Wei Tan, Benjamin Herta, Vladimir Zolotov, Alexei Lvov, Liana Fong, and David Kung IBM T. J. Watson Research Center 1 Outline Spark

More information

Pouya Kousha Fall 2018 CSE 5194 Prof. DK Panda

Pouya Kousha Fall 2018 CSE 5194 Prof. DK Panda Pouya Kousha Fall 2018 CSE 5194 Prof. DK Panda 1 Motivation And Intro Programming Model Spark Data Transformation Model Construction Model Training Model Inference Execution Model Data Parallel Training

More information

Stream Processing on IoT Devices using Calvin Framework

Stream Processing on IoT Devices using Calvin Framework Stream Processing on IoT Devices using Calvin Framework by Ameya Nayak A Project Report Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Computer Science Supervised

More information

CONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED DATA PLATFORM

CONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED DATA PLATFORM CONSOLIDATING RISK MANAGEMENT AND REGULATORY COMPLIANCE APPLICATIONS USING A UNIFIED PLATFORM Executive Summary Financial institutions have implemented and continue to implement many disparate applications

More information

Fluentd + MongoDB + Spark = Awesome Sauce

Fluentd + MongoDB + Spark = Awesome Sauce Fluentd + MongoDB + Spark = Awesome Sauce Nishant Sahay, Sr. Architect, Wipro Limited Bhavani Ananth, Tech Manager, Wipro Limited Your company logo here Wipro Open Source Practice: Vision & Mission Vision

More information

microsoft

microsoft 70-775.microsoft Number: 70-775 Passing Score: 800 Time Limit: 120 min Exam A QUESTION 1 Note: This question is part of a series of questions that present the same scenario. Each question in the series

More information

Přehled novinek v SQL Server 2016

Přehled novinek v SQL Server 2016 Přehled novinek v SQL Server 2016 Martin Rys, BI Competency Leader martin.rys@adastragrp.com https://www.linkedin.com/in/martinrys 20.4.2016 1 BI Competency development 2 Trends, modern data warehousing

More information

Spark 2. Alexey Zinovyev, Java/BigData Trainer in EPAM

Spark 2. Alexey Zinovyev, Java/BigData Trainer in EPAM Spark 2 Alexey Zinovyev, Java/BigData Trainer in EPAM With IT since 2007 With Java since 2009 With Hadoop since 2012 With EPAM since 2015 About Secret Word from EPAM itsubbotnik Big Data Training 3 Contacts

More information

Analytics with IMS and QMF

Analytics with IMS and QMF Analytics with IMS and QMF Steve Mink Worldwide z System Analytics Client Success mink@us.ibm.com March 2015 * IMS Technical Symposium 2015 QMF for z/os 11 QMF for z/os is a visual business intelligence

More information