Dawn of record keeping, data volumes have been increasing.In the more recent path, pharmaceutical, telecomm and other industries dealing with data growth before the term Big Data arose.
People been trying to turn data to knowledge since ancient times, 7500 BC when Mesopotamians created the first accounting system.Again, looking to more recent times, in the 1980s and 1990s decision management and business intelligence software arose. Largely failed.
Volume is increasing, but more importantly the types of data – multistructured data – are expanding and being created at greater speeds than ever before, the need to make sense of the data in near real time to maximize value is greater than ever before. Confluence of three trends.
We now have the tech to deal with it. Not impossible before, but impractical due to time or money constraints.
Quick MPP data warehouse history (commodity hardware, data compression, columnar arcitectures)
Quick overview of NoSQLDBs.
Examples – Sears for dynamic pricing, CIA to understand terrorist chatter, Netflix to determine which movies to recommend, BoA to detect fraud in real time, Philips healthcare to understand outcomes, research the genome.
McKinsey 140,000 – 190,000 data scentists needed 2018.
Democratizing Big Data
Democratizing BIG DATA Jeff Kelly Big Data Analyst, Wikibon wikibon.org/bigdata
Big Questions About BIG DATA What is New about BIG DATA? Why is BIG DATA Important? Why aren’t More Enterprises Practicing BIG DATA? What Will it Take to Spur Adoption and Democratize BIG DATA ?
Desire to Transform Data KnowledgeWhat is New about Big Data?
What’s the BIG Problem? VOLUME TYPE SPEED BIG DATAWhat is New about Big Data?
What is NEW … Technology to Process, Store & Analyze BIG DATA In a TIME-EFFICIENT and COST-EFFECTIVE WayWhat is New about Big Data?
New Approaches to BIG DATA Hadoop is an open source framework for processing, storing and analyzing massive amounts of distributed, multi- structured data.What is New about Big Data?
New Approaches to BIG DATA Next Generation Data Warehouses use massively parallel processing, columnar architectures and data compression to analyze not-quite-so-massive data in close to real- time.What is New about Big Data?
New Approaches to BIG DATA Multiple flavors of NoSQL [Not Only SQL] Databases emerging to support specific types of Multi-Structured Data and Real-Time Web Applications.What is New about Big Data?
New Approaches to BIG DATA Are … Complimentary NOT Competitive Right Tool, Right JobWhat is New about Big Data?
The Result? Enterprises Now Have The Technologies Needed to Turn BIG DATA Into Actionable, Timely Insights.What is New about Big Data?
So Why is BIG DATA Important? Process and Analyze ALL Your Data Ask NEW Questions Ask MORE Questions Get ANSWERSFASTER Get CLEARER Insight MAKE BETTER BUSINESS DECISIONSWhy is Big Data Important?
BIG DATA THE New, DEFINITIVE Source of COMPETITIVE ADVANTAGE Across ALL Industries.* * Wikibon Big Data Manifesto, 2011Why is Big Data Important?
But … BIG DATA Adoption is Slow BIG DATA Technologies Difficult to Deploy, Manage and Use Dearth of Skilled BIG DATA Practitioners and Data Scientists Enterprises Lack Right MINDSET to Exploit BIG DATAWhy aren’t More Enterprises Practicing Big Data?
What Will It Take to … DEMOCRATIZE BIG DATA?How Will We Democratize Big Data?
Democratizing BIG DATA NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY DEPLOY ANALYZEADMINISTER VISUALIZE SECURE AUTOMATE INTEGRATE PROCESS MANAGEHow Will We Democratize Big Data?
Democratizing BIG DATANEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY
Democratizing BIG DATA NEEDED: BIG DATA TRAINING AND EDUCATION BIG DATA INFRASTRUCTURE DATA SCIENCE ADVANCED BIG DATA PROCESSING & PREDICTIVE INTEGRATION ANALYTICSHow Will We Democratize Big Data?
Democratizing BIG DATANEEDED: BIG DATA TRAINING AND EDUCATION
Democratizing BIG DATANEEDED: A CHANGE OF MINDSET
Democratizing BIG DATANEEDED: A CHANGE OF MINDSET EXPERIMENTATION IMAGINATION Rinse COLLABORATION COMMUNICATION & WILLINGNESS TO FAIL Repeat PERSEVERENCE STORYTELLING TRUST ACTION DATA-DRIVEN ENTERPRISEHow Will We Democratize Big Data?
THANK YOU Democratizing BIG DATA Jeff Kelly Big Data Analyst Wikibonjeff.email@example.com @jeffreyfkelly wikibon.org/bigdata
A particular slide catching your eye?
Clipping is a handy way to collect important slides you want to go back to later.