Wright Patterson AFB

80 Pages·2016·3.25 MB·English

by  King2, Mike

OCITA Spring Event
Mike King
Enterprise Technologist, Big Data
Wright Patterson AFB; May 19, 2016
Acronym Key - Part 1
• VLDB – Very Large Database • CDH – Cloudera Distribution for Hadoop
• PK – Primary Key • EDH – Enterprise Data Hub
• AK – Alternate Key • EDW – Enterprise Data Warehouse
• COTS – Commercial Off-the-Shelf • ETL – Extract, Transform & Load
• KV – Key value • ELK – Elastic Search, Logstash & Kibanna
• JSON – Java Script Object Notation • XML – eXtensible Markup Language
• BSON – Binary Structured Object Notation • SQL – Structured Query Language
• iOT – internet of things • CRM – Customer Relationship Management
• JDBC – Java DataBase Connectivity • TPC – Transaction Performance Council
Acronym Key - Part 2
• SOA – Service Oriented Architecture • BDE – Big Data Extensions (Vmware)
• API – Application Programming Interface • FTE – Full Time Equivalent
• CSV – Comma Separated Values • SIEM – Security Information Event
Management
• RDBMS – Relational DataBase Management
System • MQ – Message Queuing
• MPP – Massively Parallel Platform • ERP – Enterprise Resource Planning
• ML – Machine Learning • HA – High Availability
• CoE – Center of Excellence • DBA – DataBase Administrator
• HTTP – HyperText Transfer Protocol • DWFT – DataWarehouse Fast Track
• HDFS – Hadoop Distributed File System • *aaS – anything as-a Service
Big Data
4
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Trends Affecting Big Data
Technology
• Virtualization: App, CM,
Mgt, Client Tools
• Automation
Consumption pattern • Integration The profession
• Cloud • Tools • Analytics for all, & all…
– Varying needs
– Three types
• Data Science
• *aaS
• Skills demand
– I, a, p, s, DB
– Needs
Data tsunami
– <You Name It>
– Roles
• iOT – How to fill
• Training
• Data, data & more data
• Mobile
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Big Data is really complex data, with needs
that extend beyond the existing tool chain
Relational data
Application data Sensor data
(Database)
MS Excel and
Facebook LinkedIn Photos
MS Access
PDF, Word and text
Twitter Videos
files
Different data types • Large volumes • Varying speeds
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Customer Success Stories
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Customer lifetime value of Big Data
UK – online services G500 SI-Telco
• Jan 2013: 200 nodes • Jan 2013 = 150 nodes
Always ran Hadoop – saw mega
• Primary use case: Top Secret
growth from Jan 2013: 200 nodes
Government Work
• Primary use case: Web 2.0 as core
• Growth: Jan 2014 = +150 nodes
• Growth: Jan 2015 = +800 nodes
US-based Telco Financial Services
• Feb 2013 – 42 node POCs • Nov 2013: 12 nodes POC
• Primary use case: Log Files, • Primary use case: Log Files, Fraud
BDaaS, & Churn Analysis Analysis, 360 Customer View
• Growth: March 2015- +2200 nodes • Growth: March 2015 = +220 nodes
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