We recommend that those attending this course meet the following prerequisites:
 Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL / NoSQL queries
 Students should complete Big Data Technology Fundamentals online training or have equivalent experience
 Experience with core Cloud vendors services and public cloud implementation
 Students should complete Cloud vendors Technical Essentials courses or have equivalent experience
 Understand the basic teaching methods of data warehouse, relational database system and database design
This course will be taught in combination with:
 Instructor-led training (ILT)

 Hands-on lab

Hands-on activities

This course allows you to experiment with new technologies and apply what you have learned to your work environment through various practical exercises

 Apache Hadoop and EMR
Lab 3: Store and query data on DynamoDB
 Use EMR
 Hadoop programming framework
Lab 4: Processing server logs with Hive on AEMR
 Web interface on EMR
Lab 5: Running Pig Scripts in Hue on EMR
 Apache Spark on EMR
Lab 6: Using Spark on EMR to Process NY Taxi Data Day 3
 Redshift and big data
 Visualization and compilation of big data
 Lab 7: Visualizing Data with TIBCO Spotfire
 Manage Big Data Expenses
 Protect your deployment
 Big data design patterns
3rd day
 Redshift and big data
 Visualization and compilation of big data
 Lab 7: Visualizing Data with TIBCO Spotfire
 Manage Big Data Expenses
 Protect your deployment
 Big data design patterns