Special Event: Hadoop Developer Day -- Let's get hands-on with Hadoop
LIVE STREAM: https://www.youtube.com/watch?v=EOkxXkHLxIc
Want to learn more about Hadoop and the Big Data Problems it can solve? How about the key open source components related to Hadoop? Or, understand how Big Data solutions can work in the cloud? Or understand the components of Hadoop and how to leverage HDFS? Then this Hadoop Hackathon is for you. You will learn what the essential steps are involved with implementing a MapReduce program that runs in Hadoop as well as use IBM InfoSphere BigInsights tools to simplify the development and deployment of MapReduce programs. You will learn how to use Hive to implement data warehousing solutions in a Hadoop environment (using HiveQL), understand the IBM BigSQL approach to managing structured data in Hadoop and use IBM BigSQL to store and query large data sets in Hadoop.
This Hadoop Special Event will cover all this and more in this live classroom delivery plus Livestream of lectures. To participate in the Hands-on-Labs, you will need to bring your own laptop, pre-load the IBM BigInsights QuickStart VM.
Agenda (subject to change). Hands-on Lab details below.
This event is FREE. Breakfast and Lunch will be provided.
8:00 am - Doors Open: Registration & Welcome
9:00 am - Introduction to Hadoop
9:30 am - Hadoop Architecture and HDFS
10:00 am - HDFS Hands-on Lab
11:00 am - Introduction to MapReduce
11:45 pm - Lunch
12:45 pm - MapReduce Hands-on Lab
2:00 pm - Using Hive for Data Warehousing
3:00 pm - Hive: Hands-on Lab
4:00 pm - SQL for Hadoop
4:45 pm - SQL for Hadoop - Hands-on Lab
6:00 pm - Close and Thank you for Attending.
To participate in the Hands-on Labs:
Download the VM image (single-node): http://ibm.co/QuickStart
Watch the VM setup demo: YouTube Video
For Windows - VMware Player (free download) is required to run a VMware image: https://my.vmware.com/web/vmware/free#desktop_end_user_computing/vmware_player/6_0
For Mac - VMware Fusion (free trial) https://www.vmware.com/products/fusion/
Presentations and Lab Guides: http://bigdatauniversity.com/courses/course/view.php?id=313
Registration page: http://ibm.co/1aP8zUG