Past Meetup

Patrick McFadin talks C* & Spark for Time series & IBM presentation

Hosted by Berlin Cassandra Users - by DataStax -

Public group

This Meetup is past

46 people went

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Details

We are pleased to announce our next MeetUp with a special guest all the way from San Francisco. We are delighted to have Patrick McFadin with us for this meetup.

Schedule:

18:30 – Reception (with drinks and snacks)
19:00 – Apache Cassandra & Apache Spark for Time Series Data
19:45 – Q&A
20:00 – A leap forward for SQL on Hadoop - by IBM
20:30 - Q&A
20:45 - Networking

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Speaker:
Patrick McFadin

Patrick McFadin is one of the leading experts of Apache Cassandra and data modeling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons, an education services company. There, he spoke often on Web Application design and performance.

Title:
Apache Cassandra & Apache Spark for Time Series Data

Synopsis:
Apache Cassandra has proven to be one of the best solutions for storing and retrieving time series data at high velocity and high volume. This talk will discuss how the storage model of Cassandra is ideal for time series use cases and go over examples of how to best build data models. We will also cover pairing Apache Spark with Apache Cassandra to create a real time data analytics platform. Attendees will leave this session knowing how to build their own real time data analytics platform, and will be shocked at how easy it is!

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Speaker:
Adrian Houselander

Title:
Information Architect IBM UK - Data Warehouse, Big Data & Integration Presentation: A leap forward for SQL on Hadoop

Abstract:
We will discuss the various SQL on Hadoop alternatives and explore why such technologies have become an area of keen interest for many organizations. We will discuss various alternatives such as Hive and Impala and their pros/cons. We will share customer use cases for Warehouse Modernization and the role of SQL for Hadoop in this space, as well as discuss performance characteristics of SQL on Hadoop when running common query workloads. We will provide an intro to Big SQL and demo. Big SQL delivers some exciting capabilities including comprehensive SQL functionality that leverages advanced SQL compiler/runtime all with low latency and high performance.