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Pivotal Digital Transformation Forum: Journey to Become a Data-Driven Enterprise
1.
Journey To Becoming
a Data-Driven Enterprise: Pivotal Big Data Suite Technical Overview Feras Alsamawi Senior Field Engineer Pivotal
2.
2© Copyright 2015
Pivotal. All rights reserved. Agenda • Big Data Challenges • The Value of Data • Pivotal Big Data Suite • The Open Data Platform • Big Data Architectures
3.
© Copyright 2015
Pivotal. All rights reserved. THE POWER OF 1 R X Increasing Freight Utilization Rail Predictive Maintenance Healthcare Predictive Diagnostics Power Driving Outcomes That Matter One Percent Improvement Equals $27B Industry Value by Reducing System Inefficiency $63B Industry Value by Reducing Process Inefficiency $66B Industry Value with Efficiency Improvements In Gas-fired Power Plant Fleets Source: General Electric
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4© Copyright 2015
Pivotal. All rights reserved. BIG DATA CHASM 70% of data generated by customers 80% of data stored 3% prepared for analysis 0.5% being analyzed <0.5% being operationalized 4 THE DATA DIVIDE
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5© Copyright 2015
Pivotal. All rights reserved. Software Is Eating The World Data Is Fueling Software SOFTWARE IS EATING THE WORLD
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6© Copyright 2015
Pivotal. All rights reserved. JOURNEY TO A DATA-DRIVEN ENTERPRISE Deploy analytic apps and automate at scale Perform advanced analytics Discover insights Modernize data infrastructure
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7© Copyright 2015
Pivotal. All rights reserved. The value of Data Time Value of Information µs ms s hour day month year yr+
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8© Copyright 2015
Pivotal. All rights reserved. Traditional Systems The value of Data Time Value of Information µs ms s hour day month year yr+
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9© Copyright 2015
Pivotal. All rights reserved. Speed Layer Traditional Systems Pivotal’s λ Architecture Serving Layer “Big Data” Time Value of Information µs ms s hour day month year yr+ Spring XD Pivotal HD Pivotal GemFire Batch Layer
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10© Copyright 2015
Pivotal. All rights reserved. WHY PIVOTAL FOR BIG DATA ? Complete platform SQL on Hadoop leadership Deployment options Open source Flexible licensing Advanced data services Pivotal Data Engineering Pivotal LabsPivotal Data Science
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11© Copyright 2015
Pivotal. All rights reserved. 11© Copyright 2013 Pivotal. All rights reserved. Big Data Suite Components
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12© Copyright 2015
Pivotal. All rights reserved. HDFSData Lake Expert System / Machine Learning In-Memory Real-Time Data Continuous Learning Continuous Improvement Continuous Adapting Data Stream Pipeline Multiple Data Sources Real-Time Processing Store Everything Pro-Active, Self-Improving, Machine Learning Systems
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13© Copyright 2015
Pivotal. All rights reserved. Ingest Transform Sink SpringXD GemFire Data Stream Needs an Agile, Scalable and Fast Solution HAWQ GPDB Data Lake
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14© Copyright 2015
Pivotal. All rights reserved. Ingest Transform Sink SpringXD Distributed Computing In-Memory Real-Time Data Spring XD Orchestrates and Automates all the Steps on Data Stream Pipelining Expert System / Machine Learning Extensible Open-Source Fault-Tolerant Horizontally Scalable HAWQ GPDB Data Lake
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15© Copyright 2015
Pivotal. All rights reserved. Ingest / SINK Process Analyze • No coding required • Dozens of built-in connectors • Seamless integration with Kafka, Sqoop • Create new connectors easily using Spring • Call Spark, Reactor or RxJava • Built-in configurable filtering, splitting and transformation • Out-of-box configurable jobs for batch processing • Import and invoke PMML jobs easily • Call Python, R, Madlib and other tools • Built-in configurable counters and gauges Spring XD State of the Art Data Pipeline Automation
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16© Copyright 2015
Pivotal. All rights reserved. Ingest Transform Sink SpringXD Distributed Computing GemFire Provides Scalable, Low-Latency Data Access, Storage and Event Processing Expert System / Machine Learning GemFire Extensible Open-Source Fault-Tolerant Horizontally Scalable HAWQ GPDB Data Lake
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17© Copyright 2015
Pivotal. All rights reserved. GemFire • In-Memory Enterprise Data Grid • Horizontally Scalable, Consistent, Highly Available • Event handling • Continuous Queries • Enterprise Data Geo Distribution In-memory Real Time Data
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18© Copyright 2015
Pivotal. All rights reserved. Ingest Transform Sink SpringXD Distributed Computing Pivotal Provides SQL Based Advanced Analytics GemFire Extensible Open-Source Fault-Tolerant Horizontally Scalable Data Lake HAWQ GPDB
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19© Copyright 2015
Pivotal. All rights reserved. HAWQ • Massively Parallel Processing RDBMS on HADOOP • ANSI SQL on Hadoop • Extremely high performance for analytics (not like Hive) • Stores all data directly on HDFS • Functions in MADlib, R/ Python/Java, Perl, pgsql or C languages Advanced SQL analytics in Hadoop Combining SQL with Hadoop is key for analytics SQL remains #1 choice for Data Science
20.
20© Copyright 2015
Pivotal. All rights reserved. Data Streaming Reference Architecture Data Feeds Transactional Apps Analytic Apps Data Stream Pipeline Distributed Computing Real-Time Data Expert Systems & Machine Learning Advanced Analytics HDFSData Lake
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21© Copyright 2015
Pivotal. All rights reserved. Data Streaming Reference Architecture Data Feeds Transactional Apps Analytic Apps Data Stream Pipeline HDFSData Lake GemFire HAWQ GPDB SpringXD
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BUILT FOR THE
SPEED OF BUSINESS
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23© Copyright 2015
Pivotal. All rights reserved. Financial Compliance BUSINESS PROBLEM • Ensure compliance with Dodd-Frank and Basel Committee regulations • Identify underlying risk and fraud while reducing the compliance department’s overburdened Emails Chats Trades Transactions Policy Securities Phone Calls Watch Lists … Financial compliance Data Lake Data integration Data clean up Modeling Classification and ranking Analyst user interfaces Feedback Analytics Analyst feedback Data integration: e.g., append trade information with email and chat communications Data cleanup: e.g., identify newsletters and spam emails Modeling: • Predictive modeling to flag messages and trades • Graph and cohort analysis Analyst feedback Reviewed fraud instances included in periodic model refreshes SOLUTION Ÿ A data lake platform coupled with cutting edge data science techniques Ÿ Flexible user interface to promote an adaptive, continuously learning compliance framework
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24© Copyright 2015
Pivotal. All rights reserved. Pivotal Topic & Sentiment Analysis Engine External Tables PXF HDFS Source: http Sink: hdfs Parallel Parsing of JSON (PL/Python) HAWQ Nightly Cron Jobs Topic Analysis through MADlib pLDA Unsupervised Sentiment Analysis (PL/Python) D3.js Spring XD Twitter Decahose (~55 million tweets/day)
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25© Copyright 2015
Pivotal. All rights reserved. 25© Copyright 2013 Pivotal. All rights reserved. IoT Architectures – The connected Car
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26© Copyright 2015
Pivotal. All rights reserved. The Connected Car Architecture INGESTION JSON / HTTP STREAM PROCESSING Spring XDTransformEnrich DATA LAKE Pivotal HDSink ADVANCED ANALYTICS HAWQ REAL-TIME DATA INSIGHTS GemFire MOBILE SERVICES MICROSERVICES Pivotal CF Dashboard Analytics App Simulator IoT APPS Rabbit MQ PUSH
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27© Copyright 2015
Pivotal. All rights reserved. Horizontally Scalable Fault Tolerant Extensible Open-Source STREAM PROCESSING Spring XD Rabbit MQ DATA LAKE Pivotal HD ADVANCED ANALYTICS HAWQ ENRICHER PREDICTIVE ANALYTICS + Timestamp & GUID + MPG, rangE & route MOBILE APP JSON REAL-TIME DATA INSIGHTS GemFire CAR SENSOR Sink Tap DASHBOARD
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28© Copyright 2015
Pivotal. All rights reserved. FOR FURTHER INFO… • Pivotal Data Product Info, Docs and Downloads @ http://pivotal.io/big-data • Pivotal Blog @ http://blog.pivotal.io • Pivotal Data Science Blog @ http://blog.pivotal.io/data-science-pivotal • Pivotal Academy @ https://pivotal.biglms.com • Or reach out to your local Pivotal Account Executive…
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