Audience
Managers, product managers, project managers, architects, developers, and administrators who want to learn about why and how to leverage Hadoop and Big Data for their projects.
Prerequisites
There are no prerequisites for this course.
Duration
3 days. Hands on.
Course Objectives
The future belongs to organizations that can change data to products that lead to actions. Hadoop opens doors towards truly data-driven decision making. As enterprises begin to rapidly adopt Hadoop, business leaders & information technology managers face new opportunities & challenges. This hands on course cuts through the hype to specifically address those challenges and take advantage of the core values provided by Hadoop and Big Data in a vendor neutral way.
Course Content
Intro to Hadoop, BigData
What is BigData?
Hadoop: Motivation & Essential Stats.
MapReduce & Hadoop FileSystem.
Hadoop, NoSQL, the ecosystem.
Hadoop Realworld Usecases
Who is using Hadoop and Why?
Facebook Messages & User Analytics.
Application Logs: How can I use them to change my promotions?
ETL, Log Processing and other enterprise usecases.
Hadoop Vendors & Comparison
Cloudera.
Hortonworks.
MapR.
EMR.
Pig & Hive: what's the sqoop?
Hadoop Tools:
DataMeer.
Karmasphere.
Others.
Oracle, IBM & SAP, what are they doing?
Stable versions of Hadoop.
Hadoop & IT Resources, Development
Hadoop People:
Data Scientists.
Statisticians.
Analysts.
Data Infrastructure & Hadoop engineers.
How can I train my IT team to cope with Hadoop?
Integration with enterprise: Development & test cycles.
Shadow IT and Cloud.
Systems Integrators and Consulting.
Challenges & Opportunities
Data flows in the enterprises.
Already have Oracle/IBM/MSFT licenses.
Convincing management to adopt Hadoop.
Open Source & Opportunities.
Multi-tenancy & data security in Hadoop.
Summary & The Future of Hadoop and Big Data