Meetup@MachineZone

Come join us for an HBase meetup in Palo Alto, kindly hosted by MachineZone (http://www.machinezone.com/), HBase users and makers of Game of War. Food and drink will be provided.

TOPICS:

An HBase Use Case at Machine Zone: Big Data Visualization
By Stephen Yan, Director, Data Platform at Machine Zone

Traditional BI visualization tools have been working great together with SQL databases, providing the ability for end users to browse data from different angles. These tools normally extract data from the databases and cache that in a local DB, to reduce the traffic to the live data stores and improve the performance. All of these solutions work well under certain data amounts. Beyond that, the query performance dramatically decreases. One typical limitation is that many such tools are lacking when it comes to clustering, with no meaningful way to scale out, so there is a limit to scale up. This talk will describe the visualization challenges we face at Machine Zone with ever-increasing data amounts using typical BI visualization products, and the approaches we are using by leveraging HBase, Hadoop SQL layer, together with the existing visualization tools to solve this problem.

Recent Improvements to Scanners in HBase
By Jonathan Lawlor, Software Engineer Intern at Cloudera

This talk will focus on recent performance and stability improvements that have been made to Scanners inside HBase. There will be a particular focus on RPC chunking and Scanner heartbeat/keepalive messages, and if time permits, Jonathan will also provide a brief overview of other important changes.

Operational analytics using Apache HBase and Apache Drill
By Neeraja Rentachintala, Director of Product Management at MapR

While flat files are nice, tables are nicer. While insights on large raw datasets are nice, doing such analysis in real time as data becomes available is nicer. With its ability to store wide and sparse datasets coming from heterogeneous applications and perform database style operations to keep the data up-to-date, Apache HBase is becoming increasingly popular as a store that can enable the kind of flexibility people expect out of traditional data warehousing technology. This talk will go into details of integration between Apache Drill and Apache HBase, specifically how Drill can serve as a SQL query layer on HBase and how the flexibility of Drill to directly query self describing and multi-structured data makes it as a very natural tool of choice for analysis on HBase data.

LOCATION AND DIRECTIONS

How to get to Machine Zone

Guests/visitors must enter the Machine Zone office through the security entrance in the back.

Directions

From 280 North

Exit Page Mill Road
Continue right onto Page Mill Road
Continue straight approximately 2 miles
Left onto Hansen (stoplight) drive past the visitor parking, follow the signs for "Additional Parking" and drive around the outside of the building, then park in the employee lot.
We are in Building One, please sign in and enter through the employee entrance.

From 280 South

Exit Page Mill Road East
Make a Left at the stop sign onto Page Mill Road, continue straight approximately 2 miles
Left onto Hansen (stoplight)
Drive past the visitor parking, follow the signs for "Additional Parking" and drive around the outside of the building, then park in the employee lot.
We are in Building One, please sign in and enter through the employee entrance.

From 101

Exit Embarcadero Road/Oregon Expressway
Continue onto Oregon Expressway and drive to Page Mill Road (~2 miles total)
Right onto Hansen (stoplight) drive past the visitor parking, follow the signs for "Additional Parking" and drive around the outside of the building, then park in the employee lot.
We are in Building One, please sign in and enter through the employee entrance.