Klaas (Bosteels) was able to have two key developers of Cloudera make a pitstop with us after next week’s Hadoop Summit in Amsterdam. So we have a delightful agenda drawn up. You'll find the abstracts of the presentation at the end.
18u00 - reception
18u30 - intro
18u35 - Jon Hsieh on HBase
19u20 - Kate Ting on Sqoop
20u05 - Big Data Challenge in the context of Accenture's Hybrid Architecture
20u20 - Networking
??u?? - End hour is dependent on what Accenture is able to provide
In the street (free, but places are limited)
Parking 2 Poorten - 2 Portes (Interparking, paying)
This opportunity comes however with a major disadvantage: we have to reschedule our 22nd meetup to Friday, 4 April 2014. And because it is scheduled on a Friday we also going to start earlier then usual. You are all be expected as of 18h00 at Accenture’s office in Brussels.
Moreover, Accenture’s venue has a seating limit of 70 people, but we opened the waitlist!!! So, this a call for action! Two actions, actually. First of all, if you are registered as an attendee but are not able to make it, please change your RSVP status to give somebody else the opportunity to meet and greet Cloudera’s developers. Secondly, if you want to come, but the seating limit is reached, do add yourself to the waitlist. If there is enough people interested, we’ll certainly scout for a larger venue in the same area to house everybody!
Apache HBase: Where We've Been and What's Upcoming
Apache HBase is a distributed non-relational database that provides low-latency random read write access to massive quantities of data. This talk will be broken up into two parts. First I'll talk about how in the past few years, HBase has been deployed in production at companies like Facebook, Pinterest, Groupon, and eBay and about the vibrant community of contributors from around the world include folks at Cloudera, Salesforce.com, Intel, HortonWorks, Yahoo!, and XiaoMi. Second I'll talk about the features in the newest release 0.96.x and in the upcoming 0.98.x release.
Jon Hsieh, Software Engineer @ Cloudera and HBase Committer/PMC Member
Apache Sqoop: Unlocking Hadoop for Your Relational Database
Unlocking data stored in an organization's RDBMS and transferring it to Apache Hadoop is a major concern in the big data industry. Apache Sqoop enables users with information stored in existing SQL tables to use new analytic tools like Apache HBase and Apache Hive. This talk will go over how to deploy and apply Sqoop in your environment as well as transferring data from MySQL, Oracle, PostgreSQL, SQL Server, Netezza, Teradata, and other relational systems. In addition, we'll show you how to keep table data and Hadoop in sync by importing data incrementally as well as how to customize transferred data by calling various database functions.
Kate Ting, Technical Account Manager @ Cloudera and Sqoop Committer/PMC Member, co-author of the Apache Sqoop Cookbook