The Big Data Virtual Chapter provides a community for SQL Server professionals to learn about the use of Microsoft SQL Server software with Hadoop and related technologies.

Microsoft is making significant investments to create the next gen ‘Big Data’ Platform. The goal of the Big Data Virtual Chapter is provide a PASS community for Microsoft SQL Server professionals to learn about the use of Microsoft SQL Server software with Hadoop and related technologies. Join us to share experiences, problems and solutions, as well as learn new skills for building large-scale Hadoop-based systems using the Microsoft platform.

Next Meeting: Tue, Feb 11 2014

PDW Technical Overview

Language: English
Event Type: Online
Online Meeting URL: https://attendee.gotowebinar.com/register/1905886115085195778
RSVPURL: None

PDW Technical Overview

In this presentation we will discuss the Parallel Data Warehouse Technology from Microsoft in-depth. We will cover its main use cases, why it was built, and how PDW works. We will then talk about how we use Polybase and Big Data technologies within PDW to access data stored natively in Hadoop.

Sean Mikha Bio

Sean Mikha is a technical architect who specializes in implementing large scale data-warehouses using MPP (Massively Parallel Processing) technologies. Sean has held roles at multiple vendors who specialize in MPP technologies, where he was a part of implementing one of the largest commercial clinical data warehouses in the world. Sean is currently a technology solution professional at Microsoft where he focuses on architecting Parallel Data Warehouse (PDW) solutions. Sean graduated from UCLA with a BS in Computer Engineering, and currently lives in Southern California.

When

iCal
UTC : Tue, Feb 11 2014 19:00 - 20:00
Event Time : Tue, Feb 11 2014 14:00 - 15:00 (GMT-05:00) Eastern Time (US & Canada)
Your Local Time: Tue, Feb 11 2014 19:00 - 20:00

Where

http://bigdata.sqlpass.org/
Live Meeting. The URL will display the day of the event

Direction: https://attendee.gotowebinar.com/register/1905886115085195778

Featured Presentation

PDW Technical Overview

Speaker: Sean Mikha, Technical architect Microsoft

Summary: In this presentation we will discuss the Parallel Data Warehouse Technology from Microsoft in-depth. We will cover its main use cases, why it was built, and how PDW works. We will then talk about how we use Polybase and Big Data technologies within PDW to access data stored natively in Hadoop.

About Sean: Sean Mikha is a technical architect who specializes in implementing large scale data-warehouses using MPP (Massively Parallel Processing) technologies. Sean has held roles at multiple vendors who specialize in MPP technologies, where he was a part of implementing one of the largest commercial clinical data warehouses in the world. Sean is currently a technology solution professional at Microsoft where he focuses on architecting Parallel Data Warehouse (PDW) solutions. Sean graduated from UCLA with a BS in Computer Engineering, and currently lives in Southern California.

Attachments