Wednesday, October 6, 2010
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1
2 Evolving a New Analytical Platform What Works and What s Missing Jeff Hammerbacher Chief Scientist, Cloudera October 10, 2010
3 My Background Thanks for Asking Studied Mathematics at Harvard Worked as a Quant on Wall Street Conceived, built, and led Data team at Facebook Nearly 30 amazing engineers and data scientists Several open source projects and research papers Founder of Cloudera Chief Scientist Also, check out the book Beautiful Data
4 Presentation Outline 1. Defining the Platform BI: Science for Profit Need tools for whole research cycle SQL Server 2008 R2: defining the platform 2. State of the Platform Ecosystem 3. Foundations for a New Implementation HDFS and MapReduce Evolution of Hadoop 4. Future Developments Questions and Discussion
5 1. Defining the Platform
6 BI is looking more like science (for profit)
7 Jim Gray: Science entering Fourth Paradigm We have to do better at producing tools to support the whole research cycle
8 RDBMS only a small part of this tool set
9 Example: SQL Server 2008 R2
10 RDBMS: SQL Server
11 ETL: SQL Server Integration Services RDBMS: SQL Server
12 ETL: SQL Server Integration Services RDBMS: SQL Server Reporting: SQL Server Reporting Services
13 ETL: SQL Server Integration Services RDBMS: SQL Server Reporting: SQL Server Reporting Services Analysis: SQL Server Analysis Services
14 ETL: SQL Server Integration Services RDBMS: SQL Server Reporting: SQL Server Reporting Services Analysis: SQL Server Analysis Services Search: Full-Text Search
15 CEP: StreamInsight ETL: SQL Server Integration Services RDBMS: SQL Server Reporting: SQL Server Reporting Services Analysis: SQL Server Analysis Services Search: Full-Text Search
16 CEP: StreamInsight ETL: SQL Server Integration Services RDBMS: SQL Server Reporting: SQL Server Reporting Services Analysis: SQL Server Analysis Services Search: Full-Text Search OLAP: PowerPivot
17 MDM: Master Data Services CEP: StreamInsight ETL: SQL Server Integration Services RDBMS: SQL Server Reporting: SQL Server Reporting Services Analysis: SQL Server Analysis Services Search: Full-Text Search OLAP: PowerPivot
18 Collaboration: SharePoint MDM: Master Data Services CEP: StreamInsight ETL: SQL Server Integration Services RDBMS: SQL Server Reporting: SQL Server Reporting Services Analysis: SQL Server Analysis Services Search: Full-Text Search OLAP: PowerPivot
19 What do we call this unified suite?
20 For today: Analytical Data Platform
21 For today: Analytical Data Platform LAMP Stack for Analytical Data Management
22 2. The State of the Platform Ecosystem
23 Who makes up the platform ecosystem?
24 Platform Providers
25 Infrastructure Providers Platform Providers
26 Infrastructure Providers Platform Providers Application Developers
27 Content Providers Infrastructure Providers Platform Providers Application Developers
28 Content Providers Infrastructure Providers Platform Providers Application Developers End Users
29 What is new about the ecosystem today?
30 Content Providers 1. > 95% of enterprise data is unstructured 2. Data volumes growing rapidly
31 Infrastructure Providers 1. Cloud 2. Warehouse-Scale Computers
32 Platform Providers 1. Open source 2. Driven by consumer web properties
33 Application Developers 1. Data Scientists 2. Diversity of languages
34 End Users 1. Browser is the client 2. Tell a story about the business
35 3. Foundations for a New Implementation
36 New foundations: HDFS and MapReduce
37 2005: Doug/Mike start project inside Nutch
38 2006: Doug joins Yahoo!
39 2007: Make Hadoop scale
40 2007: Make Hadoop scale Yahoo! makes Pig open source
41 Jim Gray s Fourth Paradigm lecture 2007: Make Hadoop scale Yahoo! makes Pig open source
42 Randy Bryant s DISC lecture Jim Gray s Fourth Paradigm lecture 2007: Make Hadoop scale Yahoo! makes Pig open source
43 Randy Bryant s DISC lecture Jim Gray s Fourth Paradigm lecture 2007: Make Hadoop scale Yahoo! makes Pig open source Powerset makes HBase open source
44 2008: Make Hadoop fast
45 2008: Make Hadoop fast Yahoo! wins Daytona terabyte sort benchmark
46 First Hadoop Summit 2008: Make Hadoop fast Yahoo! wins Daytona terabyte sort benchmark
47 First Hadoop Summit 2008: Make Hadoop fast Yahoo! wins Daytona terabyte sort benchmark Yahoo! builds production webmap with Hadoop
48 Facebook makes Hive open source First Hadoop Summit 2008: Make Hadoop fast Yahoo! wins Daytona terabyte sort benchmark Yahoo! builds production webmap with Hadoop
49 MapReduce: A Major Step Backwards Facebook makes Hive open source First Hadoop Summit 2008: Make Hadoop fast Yahoo! wins Daytona terabyte sort benchmark Yahoo! builds production webmap with Hadoop
50 2009: Insert Hadoop into the enterprise
51 2009: Insert Hadoop into the enterprise Cloudera releases CDH
52 First Hadoop World NYC 2009: Insert Hadoop into the enterprise Cloudera releases CDH
53 Yahoo! sorts a petabyte with Hadoop First Hadoop World NYC 2009: Insert Hadoop into the enterprise Cloudera releases CDH
54 Yahoo! sorts a petabyte with Hadoop First Hadoop World NYC 2009: Insert Hadoop into the enterprise Cloudera releases CDH Cloudera adds training, support, services
55 The Unreasonable Effectiveness of Data Yahoo! sorts a petabyte with Hadoop First Hadoop World NYC 2009: Insert Hadoop into the enterprise Cloudera releases CDH Cloudera adds training, support, services
56 2010: Integrate Hadoop into the enterprise
57 2010: Integrate Hadoop into the enterprise IBM announces InfoSphere BigInsights
58 Yahoo! completes enterprise-class security 2010: Integrate Hadoop into the enterprise IBM announces InfoSphere BigInsights
59 Yahoo! completes enterprise-class security 2010: Integrate Hadoop into the enterprise IBM announces InfoSphere BigInsights Datameer and Karmasphere funded
60 Quest, Talend, Netezza, and more integrate Yahoo! completes enterprise-class security 2010: Integrate Hadoop into the enterprise IBM announces InfoSphere BigInsights Datameer and Karmasphere funded
61 Cloudera releases Cloudera Enterprise Quest, Talend, Netezza, and more integrate Yahoo! completes enterprise-class security 2010: Integrate Hadoop into the enterprise IBM announces InfoSphere BigInsights Datameer and Karmasphere funded
62 Hadoop will be an Analytical Data Platform
63
64 4. Future Developments
65 Capture: Web and Intranet Documents
66 Curate: Unified Metadata
67 Curate: Workflow and Scheduling
68 Curate: Indexes and Materialized Views
69 Curate: Learn Structure from Data
70 Analyze: Mesos-enabled frameworks
71 Analyze: Link working set and historical data
72 Analyze: Iterative in-memory analysis
73 Analyze: Low-latency queries on Avro data
74 All behind a single user interface
75 Hue Making Many Computers Feel Like One
76 (c) 2010 Cloudera, Inc. or its licensors. "Cloudera" is a registered trademark of Cloudera, Inc.. All rights reserved. 1.0
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