Real World Big Data-Deploy, Design and Manage like a Pro
2014TL; DR
This session will walk the audience through building out a real Hadoop cluster, configuring it for analysis and then walk through a number of hands-on real world workloads, focusing on app developers, DBA's, operations, analysts, and BI developers.
Session Details
This session will be presented by a team of accomplished Big Data architects and
developers focused on making this technology real for the attendees. There are
several aspects that are typically covered in these sessions including: What is
big data?, How does it impact you? How to connect Hadoop to your BI solution,
and some basic demos. This session goes far beyond that. We will be covering
the basics quickly to bring everyone up to speed and then shifting the focus to
deployment models, best practices, administration and configuration patterns,
and more!
We will do this through a series of labs that the audience can follow along with.
These labs and demos will showcase how to make Big Data real for the
enterprise. That means something for the architects with on-demand compute and
analysis, something for operations with real time operational streaming and
analytics, predictive analytics for the analysts and development and BI
integration for the data developers.
Each student will build a new environment and setting up these scenarios so they can
take the examples back to their own firm and use them the next day. This is a
real development and architecture coaching and training session that will leave
attendees excited about all that these technologies can do to modernize their
data architecture.
We will also provide coverage of new innovation areas such as Stinger, Spark and
other new technologies that make this ecosystem more valuable to the modern
data professional.
Goal #1 - To educate the attendee on Hadoop and Big Data’s role in the enterprise data
architectures of modern organizations.
Goal #2 - Educate and walk attendees through design patterns and hands on examples of building
out: On demand compute models, predictive analytics, real-time operational
analytics, enterprise development, and BI integration patterns.
Goals #3 - Demonstrate multiple deployment options, best practices, and decision paths for choosing
the right approach for your analysis workload or organization. This includes best
practices for configuration and administration.
There are a lot of “Big Data” sessions out there. The presenters for this session are
experienced practitioners and architects working in this space with several
years of expertise. They bring that expertise with them in a series of hands on
live build exercises leaving the attendees with something of real value to take
back to their company. This session will cover the information needed for
participants to return to their organizations and begin implementing this in
their organizations. This session will cover all the important questions and
leave the attendees excited!
3 things you'll get out of this session
Speakers
John Welch's previous sessions
Continuous Delivery for Data Warehouses and Marts
Continuous delivery is an approach that enables new functionality to be delivered as needed. This session will cover how this approach can be applied to data warehouses to enable faster time to value for the consumers of the data.
Practical Unit Testing for SSIS Packages
Unit and integration testing for SSIS packages can be challenging. Come to this session to learn how to leverage open-source tools to drive the testing of your packages and the resulting data.
Unit Testing SSIS Packages
Unit testing is incredibly beneficial, but is very difficult to do effectively in SSIS. If you have wanted to do this, but aren't sure how, this session will cover the options and demonstrate a free tool for unit testing packages.
Handling Advanced Data Warehouse Scenarios in SSIS
Do you have complex dimensions in your data warehouse? Parent-child, late arriving, type 3 or type 6? In this session, we'll cover some SSIS patterns for handling each of these, along with tips for making them perform well.
Adam Jorgensen
Adam Jorgensen's previous sessions
The future of the Data Professional
The world of data is changing rapidly. Come learn what this means for your role as a data professional and what you can do to make sure you stay at the front of your field.
Delivering Agile Analytics with Azure Machine Learning
Does the concept of analytics make you nervous? Are you being asked to do more advanced analysis with existing tools? Come learn how to take your predictive capabilities to the next level with new azure technologies.