Shark Installation Guide Week 3 Report. Ankush Arora
|
|
- Shannon Flowers
- 7 years ago
- Views:
Transcription
1 Shark Installation Guide Week 3 Report Ankush Arora Last Updated: May 31,2014
2 CONTENTS Contents 1 Introduction Shark Apache Spark Scala SBT(Simple Build Tool): Installation Section is organized as follows: Installation Details Of Installation Dependencies Installation Steps Getting Java and Scala: Getting Sbt: Getting the Patched Hive: Spark and Shark: Shark: Ankush Arora June 8,
3 1 INTRODUCTION 1 Introduction The report herein gives the introduction and usage of Shark, Spark and Scala as well as summarizes the procedure to install and setup these one by one. 1.1 Shark What is Shark? Shark is an open source distributed SQL query engine for Hadoop data. It brings state-of-the-art performance and advanced analytics to Hive users. Speed Of Shark: Run Hive queries up to 100x faster in memory, or 10x on disk.it uses the powerful Apache Spark engine to speed up computations. Hive Compatibility of Shark: Run unmodified Hive queries on existing warehouses.it reuses the Hive frontend and metastore, giving you full compatibility with existing Hive data, queries, and UDFs. Simply install it alongside Hive. Spark Integration: Unlock your data with machine learning and statistics.by running on Spark, Shark can call complex analytics functions like machine learning right from SQL. Or call Shark inside your Spark jobs to load Hive data. Scalability: Use the same engine for both short and long queries.unlike other interactive SQL engines, Shark supports mid-query fault tolerance, letting it scale to large jobs too. 1.2 Apache Spark What is Apache Spark? Apache Spark is a fast and general engine for large-scale data processing. Speed Of Spark: Run programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk.spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing Ankush Arora June 8,
4 1 INTRODUCTION Ease of Use: Write applications quickly in Java, Scala or Python.Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala and Python shells. Generality: Combine SQL, streaming, and complex analytics.spark powers a stack of high-level tools including Shark for SQL, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these frameworks seamlessly in the same application. Integrated with Hadoop: Spark can run on Hadoop 2 s YARN cluster manager, and can read any existing Hadoop data. If you have a Hadoop 2 cluster, you can run Spark without any installation needed. 1.3 Scala Scalable language Scala is an acronym for Scalable Language. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results.the languages scalability is the result of a careful integration of object-oriented and functional language concepts. Object-Oriented Scala is a pure-bred object-oriented language. Conceptually, every value is an object and every operation is a method-call. Functional Even though its syntax is fairly conventional, Scala is also a full-blown functional language. It has everything like first-class functions, a library with efficient immutable data structures etc. Seamless Java Interop: Scala runs on the JVM. Java and Scala classes can be freely mixed, no matter whether they reside in different projects or in the same. They can even mutually refer to each other, the Scala compiler contains a subset of a Java compiler. Ankush Arora June 8,
5 2 INSTALLATION Functions are Objects Features from both sides are unified to a degree where Functional and Objectoriented can be seen as two sides of the same coin.e.g Functions in Scala are objects. and it s type is just a regular class. Future-Proof Scala shines when it comes to scalable server software that makes use of concurrent and synchronous processing, parallel utilization of multiple cores, and distributed processing in the cloud. Fun to learn It s fun to learn scala. 1.4 SBT(Simple Build Tool): SBT is a build tool that uses a Scala-based DSL. Additionally, SBT has some interesting features that come in handy during development, such as starting a Scala REPL with project classes and dependencies on the classpath, continuous compilation and testing with triggered execution, and much more. 1.5 Installation Section is organized as follows: 1. Details of Installation. 2. Dependencies. 3. Installation Steps. 2 Installation 2.1 Details Of Installation Shark-Version: Shark-0.7 Spark-Version: Spark-0.7 Scala-Version: Scala Sbt-Version: Sbt OS used: Ubuntu Dependencies Hive Maven Hadoop Java Ankush Arora June 8,
6 2 INSTALLATION 2.3 Installation Steps This guide describes the components needed to compile and run Shark from the beginning.installation steps are as follows: Getting Java and Scala: only prerequisite for this guide is that you have Java version 6 or 7 and Scala installed on your machine. If you don t have Scala 2.9.3, you can download it by running: Getting Sbt: for building spark and shark sbt need to be installed on your machine. If you don t have Sbt , you can install it as follows: Getting the Patched Hive: Then download our patched version of Hive and untar it: Spark and Shark: Clone the branch-0.7 branch of Spark from Github, and compile and publish Spark to your local repository: Clone the branch-0.7 branch of Shark from Github: Ankush Arora June 8,
7 2 INSTALLATION Shark: Ankush Arora June 8,
Unified Big Data Analytics Pipeline. 连 城 lian@databricks.com
Unified Big Data Analytics Pipeline 连 城 lian@databricks.com What is A fast and general engine for large-scale data processing An open source implementation of Resilient Distributed Datasets (RDD) Has an
More informationApache Spark 11/10/15. Context. Reminder. Context. What is Spark? A GrowingStack
Apache Spark Document Analysis Course (Fall 2015 - Scott Sanner) Zahra Iman Some slides from (Matei Zaharia, UC Berkeley / MIT& Harold Liu) Reminder SparkConf JavaSpark RDD: Resilient Distributed Datasets
More informationHow Companies are! Using Spark
How Companies are! Using Spark And where the Edge in Big Data will be Matei Zaharia History Decreasing storage costs have led to an explosion of big data Commodity cluster software, like Hadoop, has made
More informationScaling Out With Apache Spark. DTL Meeting 17-04-2015 Slides based on https://www.sics.se/~amir/files/download/dic/spark.pdf
Scaling Out With Apache Spark DTL Meeting 17-04-2015 Slides based on https://www.sics.se/~amir/files/download/dic/spark.pdf Your hosts Mathijs Kattenberg Technical consultant Jeroen Schot Technical consultant
More informationThe Internet of Things and Big Data: Intro
The Internet of Things and Big Data: Intro John Berns, Solutions Architect, APAC - MapR Technologies April 22 nd, 2014 1 What This Is; What This Is Not It s not specific to IoT It s not about any specific
More informationAli Ghodsi Head of PM and Engineering Databricks
Making Big Data Simple Ali Ghodsi Head of PM and Engineering Databricks Big Data is Hard: A Big Data Project Tasks Tasks Build a Hadoop cluster Challenges Clusters hard to setup and manage Build a data
More informationHadoop MapReduce and Spark. Giorgio Pedrazzi, CINECA-SCAI School of Data Analytics and Visualisation Milan, 10/06/2015
Hadoop MapReduce and Spark Giorgio Pedrazzi, CINECA-SCAI School of Data Analytics and Visualisation Milan, 10/06/2015 Outline Hadoop Hadoop Import data on Hadoop Spark Spark features Scala MLlib MLlib
More informationDatabricks. A Primer
Databricks A Primer Who is Databricks? Databricks vision is to empower anyone to easily build and deploy advanced analytics solutions. The company was founded by the team who created Apache Spark, a powerful
More informationHadoop. 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 informationLambda 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 informationDatabricks. A Primer
Databricks A Primer Who is Databricks? Databricks was founded by the team behind Apache Spark, the most active open source project in the big data ecosystem today. Our mission at Databricks is to dramatically
More informationThis is a brief tutorial that explains the basics of Spark SQL programming.
About the Tutorial Apache Spark is a lightning-fast cluster computing designed for fast computation. It was built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types
More informationHow Bigtop Leveraged Docker for Build Automation and One-Click Hadoop Provisioning
How Bigtop Leveraged Docker for Build Automation and One-Click Hadoop Provisioning Evans Ye Apache Big Data 2015 Budapest Who am I Apache Bigtop PMC member Software Engineer at Trend Micro Develop Big
More informationHow To Create A Data Visualization With Apache Spark And Zeppelin 2.5.3.5
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 informationArchitectures for massive data management
Architectures for massive data management Apache Spark Albert Bifet albert.bifet@telecom-paristech.fr October 20, 2015 Spark Motivation Apache Spark Figure: IBM and Apache Spark What is Apache Spark Apache
More informationHigh-Speed In-Memory Analytics over Hadoop and Hive Data
High-Speed In-Memory Analytics over Hadoop and Hive Data Big Data 2015 Apache Spark Not a modified version of Hadoop Separate, fast, MapReduce-like engine In-memory data storage for very fast iterative
More informationSpark: Making Big Data Interactive & Real-Time
Spark: Making Big Data Interactive & Real-Time Matei Zaharia UC Berkeley / MIT www.spark-project.org What is Spark? Fast and expressive cluster computing system compatible with Apache Hadoop Improves efficiency
More informationFrom Spark to Ignition:
From Spark to Ignition: Fueling Your Business on Real-Time Analytics Eric Frenkiel, MemSQL CEO June 29, 2015 San Francisco, CA What s in Store For This Presentation? 1. MemSQL: A real-time database for
More informationSparkLab May 2015 An Introduction to
SparkLab May 2015 An Introduction to & Apostolos N. Papadopoulos Assistant Professor Data Engineering Lab, Department of Informatics, Aristotle University of Thessaloniki Abstract Welcome to SparkLab!
More informationMoving 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 informationCS555: Distributed Systems [Fall 2015] Dept. Of Computer Science, Colorado State University
CS 555: DISTRIBUTED SYSTEMS [SPARK] Shrideep Pallickara Computer Science Colorado State University Frequently asked questions from the previous class survey Streaming Significance of minimum delays? Interleaving
More informationProgramming 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 informationHadoop 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 informationWhy Spark on Hadoop Matters
Why Spark on Hadoop Matters MC Srivas, CTO and Founder, MapR Technologies Apache Spark Summit - July 1, 2014 1 MapR Overview Top Ranked Exponential Growth 500+ Customers Cloud Leaders 3X bookings Q1 13
More informationBig Data. Lyle Ungar, University of Pennsylvania
Big Data Big data will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus. McKinsey Data Scientist: The Sexiest Job of the 21st Century -
More informationBig Data Analytics. Lucas Rego Drumond
Big Data Analytics Big Data Analytics Lucas Rego Drumond Information Systems and Machine Learning Lab (ISMLL) Institute of Computer Science University of Hildesheim, Germany Apache Spark Apache Spark 1
More informationSpark in Action. Fast Big Data Analytics using Scala. Matei Zaharia. www.spark- project.org. University of California, Berkeley UC BERKELEY
Spark in Action Fast Big Data Analytics using Scala Matei Zaharia University of California, Berkeley www.spark- project.org UC BERKELEY My Background Grad student in the AMP Lab at UC Berkeley» 50- person
More informationWorkshop 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 informationMonitis 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 informationHadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software?
Hadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software? 可 以 跟 資 料 庫 結 合 嘛? Can Hadoop work with Databases? 開 發 者 們 有 聽 到
More informationWrite Once, Run Anywhere Pat McDonough
Write Once, Run Anywhere Pat McDonough Write Once, Run Anywhere Write Once, Run Anywhere You Might Have Heard This Before! Java, According to Wikipedia Java, According to Wikipedia Java is a computer programming
More informationHadoop 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 informationImplement 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 informationNext-Gen Big Data Analytics using the Spark stack
Next-Gen Big Data Analytics using the Spark stack Jason Dai Chief Architect of Big Data Technologies Software and Services Group, Intel Agenda Overview Apache Spark stack Next-gen big data analytics Our
More informationUnified Big Data Processing with Apache Spark. Matei Zaharia @matei_zaharia
Unified Big Data Processing with Apache Spark Matei Zaharia @matei_zaharia What is Apache Spark? Fast & general engine for big data processing Generalizes MapReduce model to support more types of processing
More informationBig Data Analytics with Spark and Oscar BAO. Tamas Jambor, Lead Data Scientist at Massive Analytic
Big Data Analytics with Spark and Oscar BAO Tamas Jambor, Lead Data Scientist at Massive Analytic About me Building a scalable Machine Learning platform at MA Worked in Big Data and Data Science in the
More informationBig Data Research in the AMPLab: BDAS and Beyond
Big Data Research in the AMPLab: BDAS and Beyond Michael Franklin UC Berkeley 1 st Spark Summit December 2, 2013 UC BERKELEY AMPLab: Collaborative Big Data Research Launched: January 2011, 6 year planned
More informationBeyond Hadoop with Apache Spark and BDAS
Beyond Hadoop with Apache Spark and BDAS Khanderao Kand Principal Technologist, Guavus 12 April GITPRO World 2014 Palo Alto, CA Credit: Some stajsjcs and content came from presentajons from publicly shared
More information1. The orange button 2. Audio Type 3. Close apps 4. Enlarge my screen 5. Headphones 6. Questions Pane. SparkR 2
SparkR 1. The orange button 2. Audio Type 3. Close apps 4. Enlarge my screen 5. Headphones 6. Questions Pane SparkR 2 Lecture slides and/or video will be made available within one week Live Demonstration
More informationApache Flink Next-gen data analysis. Kostas Tzoumas ktzoumas@apache.org @kostas_tzoumas
Apache Flink Next-gen data analysis Kostas Tzoumas ktzoumas@apache.org @kostas_tzoumas What is Flink Project undergoing incubation in the Apache Software Foundation Originating from the Stratosphere research
More informationSystems Engineering II. Pramod Bhatotia TU Dresden pramod.bhatotia@tu- dresden.de
Systems Engineering II Pramod Bhatotia TU Dresden pramod.bhatotia@tu- dresden.de About me! Since May 2015 2015 2012 Research Group Leader cfaed, TU Dresden PhD Student MPI- SWS Research Intern Microsoft
More informationTE'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 informationLearning. Spark LIGHTNING-FAST DATA ANALYTICS. Holden Karau, Andy Konwinski, Patrick Wendell & Matei Zaharia
Compliments of Learning Spark LIGHTNING-FAST DATA ANALYTICS Holden Karau, Andy Konwinski, Patrick Wendell & Matei Zaharia Bring Your Big Data to Life Big Data Integration and Analytics Learn how to power
More informationHadoop2, Spark Big Data, real time, machine learning & use cases. Cédric Carbone Twitter : @carbone
Hadoop2, Spark Big Data, real time, machine learning & use cases Cédric Carbone Twitter : @carbone Agenda Map Reduce Hadoop v1 limits Hadoop v2 and YARN Apache Spark Streaming : Spark vs Storm Machine
More informationReal Time Data Processing using Spark Streaming
Real Time Data Processing using Spark Streaming Hari Shreedharan, Software Engineer @ Cloudera Committer/PMC Member, Apache Flume Committer, Apache Sqoop Contributor, Apache Spark Author, Using Flume (O
More informationCopyright 2012, Oracle and/or its affiliates. All rights reserved.
1 Oracle Big Data Appliance Releases 2.5 and 3.0 Ralf Lange Global ISV & OEM Sales Agenda Quick Overview on BDA and its Positioning Product Details and Updates Security and Encryption New Hadoop Versions
More informationHadoop 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 informationDeveloping Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control
Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control EP/K006487/1 UK PI: Prof Gareth Taylor (BU) China PI: Prof Yong-Hua Song (THU) Consortium UK Members: Brunel University
More informationIntroduction to Hadoop. New York Oracle User Group Vikas Sawhney
Introduction to Hadoop New York Oracle User Group Vikas Sawhney GENERAL AGENDA Driving Factors behind BIG-DATA NOSQL Database 2014 Database Landscape Hadoop Architecture Map/Reduce Hadoop Eco-system Hadoop
More informationSpark and the Big Data Library
Spark and the Big Data Library Reza Zadeh Thanks to Matei Zaharia Problem Data growing faster than processing speeds Only solution is to parallelize on large clusters» Wide use in both enterprises and
More informationDell In-Memory Appliance for Cloudera Enterprise
Dell In-Memory Appliance for Cloudera Enterprise Hadoop Overview, Customer Evolution and Dell In-Memory Product Details Author: Armando Acosta Hadoop Product Manager/Subject Matter Expert Armando_Acosta@Dell.com/
More informationBig Data Training - Hackveda
Big Data Training - Hackveda Become a Hackveda Certified Big Data Professional - (Beginner) Skill level: Beginner Training fee: INR 9000 only (Topics covered: 108) Chief Trainer: Mr. Devanshu Shukla Training
More informationIn-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 informationSurvey of the Benchmark Systems and Testing Frameworks For Tachyon-Perf
Survey of the Benchmark Systems and Testing Frameworks For Tachyon-Perf Rong Gu,Qianhao Dong 2014/09/05 0. Introduction As we want to have a performance framework for Tachyon, we need to consider two aspects
More informationArchitectural 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 informationIntroduction to Big Data! with Apache Spark" UC#BERKELEY#
Introduction to Big Data! with Apache Spark" UC#BERKELEY# This Lecture" The Big Data Problem" Hardware for Big Data" Distributing Work" Handling Failures and Slow Machines" Map Reduce and Complex Jobs"
More informationBig 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 informationHiBench Introduction. Carson Wang (carson.wang@intel.com) Software & Services Group
HiBench Introduction Carson Wang (carson.wang@intel.com) Agenda Background Workloads Configurations Benchmark Report Tuning Guide Background WHY Why we need big data benchmarking systems? WHAT What is
More informationData 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 informationxpaaerns 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 informationBrave New World: Hadoop vs. Spark
Brave New World: Hadoop vs. Spark Dr. Kurt Stockinger Associate Professor of Computer Science Director of Studies in Data Science Zurich University of Applied Sciences Datalab Seminar, Zurich, Oct. 7,
More informationUnified Batch & Stream Processing Platform
Unified Batch & Stream Processing Platform Himanshu Bari Director Product Management Most Big Data Use Cases Are About Improving/Re-write EXISTING solutions To KNOWN problems Current Solutions Were Built
More informationBig Data Analytics Hadoop and Spark
Big Data Analytics Hadoop and Spark Shelly Garion, Ph.D. IBM Research Haifa 1 What is Big Data? 2 What is Big Data? Big data usually includes data sets with sizes beyond the ability of commonly used software
More informationCustomer Case Study. Sharethrough
Customer Case Study Customer Case Study Benefits Faster prototyping of new applications Easier debugging of complex pipelines Improved overall engineering team productivity Summary offers a robust advertising
More informationChase Wu New Jersey Ins0tute of Technology
CS 698: Special Topics in Big Data Chapter 4. Big Data Analytics Platforms Chase Wu New Jersey Ins0tute of Technology Some of the slides have been provided through the courtesy of Dr. Ching-Yung Lin at
More informationBayesian networks - Time-series models - Apache Spark & Scala
Bayesian networks - Time-series models - Apache Spark & Scala Dr John Sandiford, CTO Bayes Server Data Science London Meetup - November 2014 1 Contents Introduction Bayesian networks Latent variables Anomaly
More informationPro Apache Hadoop. Second Edition. Sameer Wadkar. Madhu Siddalingaiah
Pro Apache Hadoop Second Edition Sameer Wadkar Madhu Siddalingaiah Contents J About the Authors About the Technical Reviewer Acknowledgments Introduction xix xxi xxiii xxv Chapter 1: Motivation for Big
More informationApache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source
Apache Ignite TM (Incubating) - In- Memory Data Fabric Fast Data Meets Open Source DMITRIY SETRAKYAN Founder, PPMC http://www.ignite.incubator.apache.org @apacheignite @dsetrakyan Agenda About In- Memory
More informationHow Transactional Analytics is Changing the Future of Business A look at the options, use cases, and anti-patterns
How Transactional Analytics is Changing the Future of Business A look at the options, use cases, and anti-patterns Table of Contents Abstract... 3 Introduction... 3 Definition... 3 The Expanding Digitization
More informationApache Spark : Fast and Easy Data Processing Sujee Maniyam Elephant Scale LLC sujee@elephantscale.com http://elephantscale.com
Apache Spark : Fast and Easy Data Processing Sujee Maniyam Elephant Scale LLC sujee@elephantscale.com http://elephantscale.com Spark Fast & Expressive Cluster computing engine Compatible with Hadoop Came
More informationHadoop & Spark Using Amazon EMR
Hadoop & Spark Using Amazon EMR Michael Hanisch, AWS Solutions Architecture 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Agenda Why did we build Amazon EMR? What is Amazon EMR?
More informationSpark. Fast, Interactive, Language- Integrated Cluster Computing
Spark Fast, Interactive, Language- Integrated Cluster Computing Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael Franklin, Scott Shenker, Ion Stoica UC
More informationConquering Big Data with BDAS (Berkeley Data Analytics)
UC BERKELEY Conquering Big Data with BDAS (Berkeley Data Analytics) Ion Stoica UC Berkeley / Databricks / Conviva Extracting Value from Big Data Insights, diagnosis, e.g.,» Why is user engagement dropping?»
More informationBig Data Approaches. Making Sense of Big Data. Ian Crosland. Jan 2016
Big Data Approaches Making Sense of Big Data Ian Crosland Jan 2016 Accelerate Big Data ROI Even firms that are investing in Big Data are still struggling to get the most from it. Make Big Data Accessible
More informationApache Spark and Distributed Programming
Apache Spark and Distributed Programming Concurrent Programming Keijo Heljanko Department of Computer Science University School of Science November 25th, 2015 Slides by Keijo Heljanko Apache Spark Apache
More informationLarge scale processing using Hadoop. Ján Vaňo
Large scale processing using Hadoop Ján Vaňo What is Hadoop? Software platform that lets one easily write and run applications that process vast amounts of data Includes: MapReduce offline computing engine
More informationBig 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 informationOpen Cloud System. (Integration of Eucalyptus, Hadoop and AppScale into deployment of University Private Cloud)
Open Cloud System (Integration of Eucalyptus, Hadoop and into deployment of University Private Cloud) Thinn Thu Naing University of Computer Studies, Yangon 25 th October 2011 Open Cloud System University
More informationManaging Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database
Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica
More informationFast and Expressive Big Data Analytics with Python. Matei Zaharia UC BERKELEY
Fast and Expressive Big Data Analytics with Python Matei Zaharia UC Berkeley / MIT UC BERKELEY spark-project.org What is Spark? Fast and expressive cluster computing system interoperable with Apache Hadoop
More informationCSE-E5430 Scalable Cloud Computing Lecture 11
CSE-E5430 Scalable Cloud Computing Lecture 11 Keijo Heljanko Department of Computer Science School of Science Aalto University keijo.heljanko@aalto.fi 30.11-2015 1/24 Distributed Coordination Systems Consensus
More informationCustomer Case Study. Automatic Labs
Customer Case Study Automatic Labs Customer Case Study Automatic Labs Benefits Validated product in days Completed complex queries in minutes Freed up 1 full-time data scientist Infrastructure savings
More informationSpark and Shark. High- Speed In- Memory Analytics over Hadoop and Hive Data
Spark and Shark High- Speed In- Memory Analytics over Hadoop and Hive Data Matei Zaharia, in collaboration with Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Cliff Engle, Michael Franklin, Haoyuan Li,
More informationBig Data Weather Analytics Using Hadoop
Big Data Weather Analytics Using Hadoop Veershetty Dagade #1 Mahesh Lagali #2 Supriya Avadhani #3 Priya Kalekar #4 Professor, Computer science and Engineering Department, Jain College of Engineering, Belgaum,
More informationA PERFORMANCE ANALYSIS of HADOOP CLUSTERS in OPENSTACK CLOUD and in REAL SYSTEM
A PERFORMANCE ANALYSIS of HADOOP CLUSTERS in OPENSTACK CLOUD and in REAL SYSTEM Ramesh Maharjan and Manoj Shakya Department of Computer Science and Engineering Dhulikhel, Kavre, Nepal lazymesh@gmail.com,
More informationUnlocking the True Value of Hadoop with Open Data Science
Unlocking the True Value of Hadoop with Open Data Science Kristopher Overholt Solution Architect Big Data Tech 2016 MinneAnalytics June 7, 2016 Overview Overview of Open Data Science Python and the Big
More informationParallel Computing: Strategies and Implications. Dori Exterman CTO IncrediBuild.
Parallel Computing: Strategies and Implications Dori Exterman CTO IncrediBuild. In this session we will discuss Multi-threaded vs. Multi-Process Choosing between Multi-Core or Multi- Threaded development
More informationIntegrate 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 informationBig Data Explained. An introduction to Big Data Science.
Big Data Explained An introduction to Big Data Science. 1 Presentation Agenda What is Big Data Why learn Big Data Who is it for How to start learning Big Data When to learn it Objective and Benefits of
More informationBig Data Analytics with Cassandra, Spark & MLLib
Big Data Analytics with Cassandra, Spark & MLLib Matthias Niehoff AGENDA Spark Basics In A Cluster Cassandra Spark Connector Use Cases Spark Streaming Spark SQL Spark MLLib Live Demo CQL QUERYING LANGUAGE
More informationBig Data and Industrial Internet
Big Data and Industrial Internet Keijo Heljanko Department of Computer Science and Helsinki Institute for Information Technology HIIT School of Science, Aalto University keijo.heljanko@aalto.fi 16.6-2015
More informationBig Data on Microsoft Platform
Big Data on Microsoft Platform Prepared by GJ Srinivas Corporate TEG - Microsoft Page 1 Contents 1. What is Big Data?...3 2. Characteristics of Big Data...3 3. Enter Hadoop...3 4. Microsoft Big Data Solutions...4
More informationAn Industrial Perspective on the Hadoop Ecosystem. Eldar Khalilov Pavel Valov
An Industrial Perspective on the Hadoop Ecosystem Eldar Khalilov Pavel Valov agenda 03.12.2015 2 agenda Introduction 03.12.2015 2 agenda Introduction Research goals 03.12.2015 2 agenda Introduction Research
More informationFederated 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 informationHadoop in the Enterprise
Hadoop in the Enterprise Modern Architecture with Hadoop 2 Jeff Markham Technical Director, APAC Hortonworks Hadoop Wave ONE: Web-scale Batch Apps relative % customers 2006 to 2012 Web-Scale Batch Applications
More informationIntroduction to Spark
Introduction to Spark Shannon Quinn (with thanks to Paco Nathan and Databricks) Quick Demo Quick Demo API Hooks Scala / Java All Java libraries *.jar http://www.scala- lang.org Python Anaconda: https://
More informationBig Graph Analytics on Neo4j with Apache Spark. Michael Hunger Original work by Kenny Bastani Berlin Buzzwords, Open Stage
Big Graph Analytics on Neo4j with Apache Spark Michael Hunger Original work by Kenny Bastani Berlin Buzzwords, Open Stage My background I only make it to the Open Stages :) Probably because Apache Neo4j
More informationA REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM
A REVIEW PAPER ON THE HADOOP DISTRIBUTED FILE SYSTEM Sneha D.Borkar 1, Prof.Chaitali S.Surtakar 2 Student of B.E., Information Technology, J.D.I.E.T, sborkar95@gmail.com Assistant Professor, Information
More informationBIG DATA TRENDS AND TECHNOLOGIES
BIG DATA TRENDS AND TECHNOLOGIES THE WORLD OF DATA IS CHANGING Cloud WHAT IS BIG DATA? Big data are datasets that grow so large that they become awkward to work with using onhand database management tools.
More informationAnalytics 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