Videos tagged with Bigdata

This tutorial is a screen cast that will show you exactly how to work with Pig. We'll walk through examples discussed in the Pig Introduction.

Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. This lecture includes a work-along exercise.

A screencast illustrating how to configure Eclipse for Hadoop Development.

This tutorial is a screen cast that will show you exactly how to work with Hive. We'll walk through importing data, creating tables, and making queries.

  Hive is a powerful data warehousing application built on top of Hadoop which allows you to use SQL to access your data. This lecture will give an overview of Hive and the query language. This lecture includes a work-along exercise. The next video is a screencast of a user performing this exercise.  

  After we've introduced you to the tools, it's time to learn how to use them efficiently. Algorithms designed for running on MapReduce look a little different than those you've written before. We'll introduce you to some widely-used algorithms, common idioms to use when designing your own, and techniques for implementing these in Java MapReduce and scripting languages via HadoopStreaming....

Learn how to get started writing programs against Hadoop's API.

  An introduction to other projects surrounding Hadoop, which complete the greater ecosystem of available large-data processing tools.  

These tools provide the core functionality to allow you to store, process, and analyze big data. This lecture "lifts the curtain" and explains how the technology works. You'll understand how these components fit together and build on one another to provide a scalable and powerful system.

You know your data is big – you found Hadoop. What implications must you consider when working at this scale? This lecture addresses common challenges and general best practices for scaling with your data.