Why Big Data Matters? Speaker: Paras Doshi

Transcription

1 Why Big Data Matters? Speaker: Paras Doshi If you re wondering about what is Big Data and why does it matter to you and your organization, then come to this talk and get introduced to Big Data and learn about Tools that you could start using right away!

2 Goals: What is Big Data? Why does Big Data matter? which Big Data Tools are available to us?

3 About Paras:

4 My Background w/ Big Data Studied Data Intensive Computing in cloud at University of Washington, USA (2012) Independent Study on Big Data Topics/Tools since October 2011 Blogging about Hadoop on Azure and Hadoop on Windows since they came out. Blog: ParasDoshi.com Answer questions about Hadoop on Windows & Big Data on MSDN and Stackoverflow forums Got to attend Dr. David DeWitt s presentations related to Big Data at SQL PASS Summit 2011 as well as PASS summit 2012

5 Business Intelligence Hadoop Big Data Courtesy: Google Trends

6 Evolution of Big Data

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9 Advance Analytics Bigger Data

10 Bigger Data Advance Analytics

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12 Is it just about Volume?

13 Why 3V?

14 Other Definitions

15 Source: Big Data Demystified: Using Unstructured Data for Competitive Advantage Big data is a nickname for the recent increase in largely external and unstructured business and consumer information

16 In information technology, big data is a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications Source:

17 I collected such definitions from the Internet, Here s the summary:

18 Hadoop & Map Reduce Running computationally intensive Algorithms Large scale data analysis OR data intensive computing Analyzing Data using Distributed Systems Big Data Data Mining on massive data sets Analyzing External /Public / unstructured / Social Network Datasets Massively parallel processing databases

19 Working Definition of Big Data Company s Data Needs exceeds its infrastructure

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22 Cost of Data Acquisition has dramatically decreased: 30 years ago: 1 KB = $1* 1 TB = ~$1 Billion** Today: 1 TB Definitely not $1 Billion People do it voluntarily on social networks Machines Generates Data too. *Assume **Approximately Source: Dave Campbell Interview at Build 2012

23 Unstructured information accounts for more than 70% 80% of all data in organizations and is growing 10 50x more than structured data Source: s There s Value in Unstructured Data: Social Network Data Images Videos Audio

24 Bigger Data Advance Analytics

25 Yay! We sold 10 Xbox's today! Who bought it? Who referred them? Context of the purchase? Can we Recommend products to them?

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27 There s value in doing advance analytics Almost Everyone s doing Business Intelligence, Where s the competitive advantage? Examples of Advance analytics over #1: Unstructured Data #2: External Data

28 Big Data Problems Customer churn Analysis Risk Modeling Recommendation engine Ad Targeting Point of Sale Transaction Analysis Analyzing network data to predict failure Threat Analysis Trade surveillance Search Quality Data Sandbox Source: Cloudera s Top Hadoopable Problems resolved paper

29 Recap Big (ger) Data Volume Velocity Variety Value Advanced Analytics Examples: Recommendation Engine Sentiment Analysis

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32 In pioneer days they used oxen for heavy pulling, and when one ox couldn t budge a log, they didn t try to grow a larger ox; We shouldn t be trying for bigger computers, but for more systems of computers - Grace Hopper

33 Thanks Andrew Brust: Tools: HDInsight: Hadoop for Windows Server & Azure Massively parallel processing (MPP) databases: Parallel Data Warehouse (PDW) NoSQL: Windows Azure Tables Real Time Analysis: StreamInsight

34 Quick Numbers about PDW: Capacity (in TB) Microsoft Data Warehouse Offerings 5 BDWA Fast Track DW PDW Effort to Build such solutions is function of Capacity, Concurrency, Query Complexity Source: Data Warehousing: SQL Server Parallel Data Warehouse AU3 Update (SQL Server 2012)

35 What is Hadoop? Hadoop is a Big Data Platform Distributes and Replicates Data Manages Parallel Tasks created by Users Runs as Several Processes on a cluster Hadoop is a Toolset

36 What is HDInsight? Preview announced on 24 th OCT 2012 at Strata & Hadoop world Conference Apache Hadoop based solution for Windows Server and Windows Azure

37 Hadoop Ecosystem Hive PIG SQooP HDFS (Hadoop Distributed File System) MapReduce

38 Hadoop Ecosystem HDFS - distributed file system. Map Reduce A distributed framework for executing work in parallel. HIVE a SQL like language on top of Map Reduce. PIG - A scripting language to Manipulate SQOOP - enables data exchange between relational databases and Hadoop clusters. Mahout - scalable machine learning libraries.

39 Microsoft & Hadoop Ecosystem: Make Hadoop Windows Compatible Microsoft.NET SDK for Hadoop Hive ODBC Driver Excel Hive Add-in JavaScript layer on Hadoop Hive & JavaScript web console Connectors for SQL server and PDW Integration with Active Directory for access control Integration with System center for administration and management

40 Hadoop shouldn't replace your current data infrastructure, only augment it Source:

41 SQL Server + Hadoop HiveODBC driver can be used to connect Excel, SSIS & Tabular Models to Hive Tables SQooP can be used to load operational data from SQL Server to Hadoop

42 Future of Hadoop & Big Data Tools Microsoft s Polybase mashes up SQL Server and Hadoop (demo shown at SQL PASS summit 2012) Hadoop support for ad-hoc and real time queries HDInsight for windows/azure should be available for production use. Hopefully, support for tools such as Hbase & Mahout will be added More use cases emerge *Mahout: Mahout is included in the HDInsight for Windows Azure

43 Related Microsoft Technologies/Projects: Windows Azure Data Market Dryad (Deprecated Microsoft Research Project) Project Daytona (iterative MapReduce runtime for Windows Azure by MSR) SQL Azure Labs: Microsoft CodeName Data Explorer Microsoft codename Cloud Numerics Microsoft codename Social Analytics

44 Other Big Data vendors Cloudera Hortonworks (Micorosft using Hortonworks hadoop distribution) Amazon s Elastic Map Reduce EMC s GreenPlum IBM s Infosphere Oracle Big Data Google BigQuery Aster data, Vertica, among others..

45 Concluding comments: Big Data means different things in different context Your Task: What does Big Data mean to you? Growing number of business users realize the value of Unstructured & External datasets Your Task: Identify External and/or unstructured that can be used to find insights for your organization. Traditional BI Tools were not designed for Big Data Analytics Your Task: Play w/ some of the Big Data Tools

46 Thank you! Special Thanks to Rushabh Mehta and Nigel Sammy. Contact Information: Blog: SolidQ: Slides can be downloaded from: <link>