Comprehensive Analytics on the Hortonworks Data Platform

Transcription

1 Comprehensive Analytics on the Hortonworks Data Platform We do Hadoop. Page 1

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3 Back to 2005 Page 3

4 Vertical Scaling Page 4

5 Vertical Scaling Page 5

6 Vertical Scaling Page 6

7 Horizontal Scaling Page 7

8 Horizontal Scaling Page 8

9 Horizontal Scaling Page 9

10 Self Healing System Page 10

11 Hadoop 1.0 MapReduce HDFS (Hadoop Distributed File System) 1 N Page 11

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14 SOURCES ANALYTICS Hadoop 2.0 Data Applications Marts Business Analytics Visualization & Dashboards Batch MP P Batch EDW Batch Interactive Real-Time Partner ISV YARN: Data Operating System HDFS (Hadoop Distributed File System) ERP CRM SCM Existing Systems Clickstream Web & Social Geolocation Sensor & Machine Server Logs Unstructured Page 14

15 Apache Pig Apache Hive Cascading Apache HBase Apache Accumulo Apache Solr Apache Spark Apache Storm Hortonworks Data Platform 2.2 GOVERNANCE BATCH, INTERACTIVE & REAL-TIME DATA ACCESS SECURITY OPERATIONS Apache Falcon Apache Ranger Apache Ambari Apache Sqoop Apache Knox Apache Zookeeper Apache Flume Apache Falcon Apache Oozie Apache Kafka YARN: Data Operating System (Cluster Resource Management) 1 HDFS (Hadoop Distributed File System) Page 15

16 Hortonworks: Hadoop for the Enterprise We Do Hadoop Winter Page Version 1.1

17 Who we are 2005 Apache Hadoop at Yahoo! 2011 Inception of Hortonworks 24 Developers and Architects 600+ Employees 900+ Partner 300+ Customers 100% Renewal Rate 30+ Migrations 5 out of 5 Support Score* Number of Nodes at Yahoo! Page 17 * The Forrester Wave Big Data Hadoop Solutions Q1 2014

18 Why SAS? ANALYTICS IN-MEMORY HIGH-PERFORMANCE DATA MANAGEMENT BUSINESS INTELLIGENCE DATA VISUALIZATION Page 18

19 SAS is the only vendor who supports all of these methods SAS can treat Hadoop just as any other data source, pulling data from Hadoop, when it is most convenient SAS can work with Hadoop, lifting data in a purpose-built advanced analytics in-memory environment SAS can work directly in Hadoop, leveraging the distributed processing capabilities of Hadoop Page 19

20 SAS + from Hortonworks SAS accesses and extracts data from Hadoop to a SAS server for processing, and writes results back. Bridge to traditional SAS environments Hadoop treated as just another data source Performance limited to single pipe bandwidth DATA MOVEMENT Page 20

21 SAS + with Hortonworks SAS accesses and processes Hadoop data on SAS Servers while keeping the data and computations massively parallel. Supports advanced analytics via shared computing Allows the scaling of data storage and analytics separately Ideal when analytical rigor, sophistication and governance are required DATA LIFT INTO MEMORY Page 21

22 SAS + in Hadoop SAS processes data directly in the Hadoop cluster. SAS Embedded Process enables scalable SAS compute in Hadoop SAS compute is orchestrated via Hadoop technology (YARN) Data manipulation, data quality, and scoring support Ideal when all data is landing in Hadoop, and Hadoop is the proper place for processing SAS LOGIC Page 22

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24 About Rogers Media Great Brands Media advertising revenue a priority Audience Strategy the future 2013 CONSOLIDATED REVENUE BY SEGMENT (%) Page 24

25 AUDIENCE BUSINESS CHALLENGES 1. UNDERSTAND AUDIENCE Having the largest volume of data sets, audience segments/profiles in Canada while leading the Canadian marketplace in privacy and governance 4. MEASURE AUDIENCE Exceeding client expectations with transparent reporting, the most accurate attribution models 2. FIND AUDIENCE Being leaders in identifying and targeting audiences across channels, platforms and devices 3. ENGAGE AUDIENCE Driving engagement across platforms and formats

26 AUDIENCE PLATFORM THE DATA LAKE - Land massive click stream log files: M records / day; - 30 million unique IDs / month - Cost effective / competitive - Lean methodology - Landed data always available if requirements should change - Data definition on read - Adoption of the Data Lake framework

27 Summary more data & better algorithms Page 27

28 Hortonworks Jumpstart Package Proposal for a simple production-ready Hadoop cluster in one week Page 28

29 Hadoop is a Platform Decision Adoption follows a consistent journey Data architecture efficiencies, new analytic apps, and ultimately to a data lake. HDP subscription supports entire lifecycle World class experience to ensure success from architecture to production to expansion. HDP: A completely open data platform Platforms are ultimately defined by open communities. HDP: A centralized architecture built on YARN Any application, any data, anywhere. Page 29

30 Cautionary Statement Regarding Forward-Looking Statements This presentation contains forward-looking statements involving risks and uncertainties. Such forward-looking statements in this presentation generally relate to future events, our ability to increase the number of support subscription customers, the growth in usage of the Hadoop framework, our ability to innovate and develop the various open source projects that will enhance the capabilities of the Hortonworks Data Platform, anticipated customer benefits and general business outlook. In some cases, you can identify forward-looking statements because they contain words such as may, will, should, expects, plans, anticipates, could, intends, target, projects, contemplates, believes, estimates, predicts, potential or continue or similar terms or expressions that concern our expectations, strategy, plans or intentions. You should not rely upon forward-looking statements as predictions of future events. We have based the forward-looking statements contained in this presentation primarily on our current expectations and projections about future events and trends that we believe may affect our business, financial condition and prospects. We cannot assure you that the results, events and circumstances reflected in the forward-looking statements will be achieved or occur, and actual results, events, or circumstances could differ materially from those described in the forward-looking statements. The forward-looking statements made in this prospectus relate only to events as of the date on which the statements are made and we undertake no obligation to update any of the information in this presentation. Trademarks Page 30 Hortonworks is a trademark of Hortonworks, Inc. in the United States and other