BIG DATA: A COMPLETE GUIDE

Are you interested in increasing your knowledge of the Big Data landscape?

During this two day course, we provide you with an introduction to the principal concepts of Big Data from a functional standpoint and dive into the main Big Data technologies with a focus on Hadoop and its ecosystem. We also review related concepts, emphasizing both Cloud and Advanced Analytics, and concentrate on Cloudera, Hadoop’s most popular distribution.

By the end of the course you will have a solid technical background to tackle any Big Data implementation project!

DURATION:

2 Day Course – 14 hour

COURSE GOALS:

The goals of the Big Data: A complete guide course are:

• Provide a solid understanding of Big Data technologies & related topics.
• Give an overview of the most popular Big Data technologies: Hadoop and its ecosystem.
• Outline Big Data ETL/Warehousing and SQL tools, real-time systems, NoSQL, Cloud, and Advanced Analytics, and how they relate to & integrate with Hadoop and RDBMSs.

TARGET AUDIENCE:

Business Users, BI Consultants, IT Consultants and IT Project Managers

PRE-REQUISITES:

Basic knowledge is recommended, specially related to Linux and SQL.

LANGUAGES:

This course is offered in English, Spanish or Catalan even though the material is in English.

TOPICS COVERED:

• Big Data introduction, umbrella term, roles, landscape analysis and real-world examples.
• Introduction to Hadoop, its core, ecosystem and distributions.
• Dive into ecosystem tools: Sqoop, Flume, Kafka, Pig, Hive, Impala (and other SQL-on-Hadoop tools), Spark, Oozie, Kudu and Hbase.
• Hadoop administration, security and file formats.
• Other NoSQL DBs and Big Data DBs.
• Enhancing Business Intelligence with Big Data technologies and implementing next-generation Data Warehouses.
• Big Data products to make Big Data easy.
• Cloud introduction, types of services and Cloud BI and Big Data deployments.
• Advanced Analytics introduction.