Big Data on AWS

This training will teach you about building huge data solutions through AWS. You will be taught about creating big data environments in the cloud with Amazon DynamoDB and Redshift. 

Additionally, you will learn about the value of Amazon Kinesis, and implement best practices to design big data environments for analysis, security, and cost-effectiveness.

Eligibility:

• Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
• Completed Data Analytics Fundamentals training or equivalent experience
• Working knowledge of core AWS services and public cloud implementation
• Completed the AWS Technical Essentials training or equivalent experience

Outline:

• Overview of Big Data, Apache Hadoop, and the Benefits of Amazon EMR
• Amazon EMR Architecture
• Using Amazon EMR
• Launching and Using an Amazon EMR Cluster
• Hadoop Programming Frameworks
• Using Hive for Advertising Analytics
• Using Streaming for Life Sciences Analytics
• Overview: Spark and Shark for In-Memory Analytics
• Using Spark and Shark for In-Memory Analytics
• Managing Amazon EMR Costs
• Overview of Amazon EMR Security
• Data Ingestion, Transfer, and Compression
• Using Amazon Kinesis for Real-Time Big Data Processing
• Using Amazon Kinesis and Amazon EMR to Stream and Process Big Data
• AWS Data Storage Options
• Using DynamoDB with Amazon EMR
• Overview: Amazon Redshift and Big Data
• Using Amazon Redshift for Big Data
• Visualizing and Orchestrating Big Data
• Using Tableau Desktop or Jaspersoft BI to Visualize Big Data

Accreditation:

• Accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

Reasons to Choose Learners Point:

• The course is designed based on real-world scenarios, formulating and evaluating practical requirements
• The training strives to provide a reality check and insight into the requirements of a demanding role and how to fulfill it
• Hands-on training and experience
• Organized group sessions and guided learning experiences