Back on Broadway with a boisterous Big Data bonanza!

jeu. 28 mars à 23:00

Fuseau horaire : Paris (GMT+01:00)

Spaces - 1740 Broadway, New York
New York
New York

We're back on Broadway for the next gathering of the NYC In-Memory Computing Meetup! Join us March 28 from 6-8 p.m. at 1740 Broadway (15th floor). Featuring two insightful talks, great pizza and beer + raffle prizes! This free event is sponsored by GridGain Systems and Oracle! Our speakers:

> Doug Hood, Oracle TimesTen Scaleout evangelist

> Glenn Wiebe, Data & Processing IT Practitioner + GridGain solutions architect AGENDA:

  • 6 p.m. – Food and drinks

  • 6:15 p.m. -- Talk 1 (Doug): "How to scale non trivial applications."

  • 7:00 p.m. -- Talk 2 (Glenn): "How in-memory computing is being used to modernize government IT."

  • 7:45 p.m. -- Raffle drawings! register here: (prize details below)

  • 8:00 p.m. Finis! >> Talk 1 (Doug): Scaling trivial workloads is easy (eg 38 million YCSB B ops/sec or 1.4 Billion SQL queries per seconds), but what if your workload is not trivial? This talk will cover a customer use case for how to scale with:

  • Five table joins where the data is distributed [hashed] over many machines

  • ACID Transactions where the unit of work has seven updates and seven queries

  • The database must be highly available and 'just work'

  • A performance comparison with other well know distributed databases

( ) >> Talk 2 (Glenn): Abstract: The growth in data volume & velocity, plus the aging of government IT infrastructure, along with the continual drive to do “more with less” is putting added stress on existing data sources, application development teams and the applications, tools, and clients that consume this data. IT modernization increasingly targets legacy databases, and the roadblocks they have become to deliver faster analytics, while holding more volume and more varieties of data. Modernization project are being asked to deliver effective architectures and development patterns for new applications like modern Web apps and new tools for analytic, machine & deep learning . In-Memory Computing can deliver the real-time performance that modern apps and tools expect at the massive scale of existing / expanding data sources present and do this at speed that is expected in order to drive digital transformation founded on modern analytics and tools your clients expect. Topics to be covered are:

  • Add speed and scale to existing applications using Relational or NoSQL databases with no rip-and-replace

  • Perform real-time and streaming analytics at scale, with details of how companies use Apache Ignite and Apache Spark

  • Address performance issues with Hadoop and "SQL" for real-time reporting

  • Adopt machine and deep learning, both the model training and execution, including TensorFlow ***

Raffle prizes! Register in advance!

> 1st Prize: PlayStation 4 Slim 1TB Console

> 2nd Prize: Ring (Wi-Fi-enabled video doorbell -- works with Alexa)

> 3nd Prize: Retro CASIO calculator watch


Spaces - 1740 Broadway, New York
New York

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