Big Data, Hadoop, NoSQL and Analytics

Big Data, Hadoop, NoSQL and Analytics

Building blocks for tomorrow's innovative database applications

27 February 2014 (14-21h)
Location: Golden Tulip Brussels Airport (Diegem)
Presented in English by
Price: 720 EUR (excl. 21% VAT)
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“BI Guru @rick_vanderlans presents the Big Picture on Big Data”

Full Programme:
13.30h - 14.00h
Registration and welcome of the participants with Coffee/Tea and Croissants, Vendor Expo and Networking Opportunity
  • The history of database servers: from file servers to database servers
  • How important are concepts such as declarative language and storage independence?
  • Trends in the database market
  • The need for more data scalability and query performance

What does big data have to offer for retail, utilities, banking, insurance, ... companies ?

Big Data: Hype or Reality ?
  • What exactly do we mean with Big Data ?
  • The key application area of Big Data: business analytics
  • The four Vís of big data: volume, variety, velocity, and variability
  • Differences between semi-structured, poly-structured, multi-structured, and unstructured data
  • Examples of Big Data: sensor data, (micro-)event data, and clickstream data
  • What is the value of Big Data for your organisation ?
NoSQL Database Stores
15.45h - 16.00h
Coffee/tea Break with Refreshments, Vendor Expo and Networking Opportunity
Analytical SQL Database Servers
17.00h - 17.45h
Exploring Data in NoSQL Systems Using SQL
17.45h - 19.00h
Dinner Buffet, Vendor Expo and Networking Opportunity
19.00h - 20.00h
Data Virtualization, NoSQL and Big Data
  • What is data virtualization?
  • Differences between abstraction, data federation and data integration
  • On-demand versus scheduled integration and transformation
  • How data virtualization can open Big Data to the masses
  • Joining data in NoSQL systems with data in classic systems
  • Product overview, including those of Composite Software, Denodo, IBM, Informatica, RedHat, and Stone Bond
20.00h - 20.45h
  • NewSQL means high-performance transactional SQL systems, based on shared-nothing architectures and supporting ACID-transactions
  • Simpler transactional mechanisms
  • Avoiding multi-table joins that can't be parallelized
  • The use of geographical databases
  • Market overview of NewSQL products, including Akiban, Clustrix, NuoDB, TransLattice VMware SQLFire, VoltDB
  • What is the role of NewSQL tools in the big data world ?
Q & A, Summary and Conclusions
  • When to use NoSQL?
  • When to use which database technology?
  • High-level overview of database market
End of this Seminar

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