V.le P.A. Pirelli 6, Milano - academy@digi.it - 0269438264

Big Data on AWS

Codice corso: AWSBD Big Data on AWS introduces you to cloud-based big data solutions and Amazon Elastic MapReduce (EMR), the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Pig and Hive. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness. Pre-Requisites: We recommend that attendees of this course have:  Basic familiarity with big data technologies, including Apache Hadoop and HDFS  Knowledge of big data technologies such as Pig, Hive, and MapReduce is helpful but not required  Working knowledge of core AWS services and public cloud implementation  Students should complete the AWS Essentials course or have equivalent experience  Basic understanding of data warehousing, relational database systems, and database design Who Should Attend? This course is intended for:  Individuals responsible for designing and implementing big data solutions, namely Solutions Architects and SysOps Administrators  Data Scientists and Data Analysts interested in learning about big data solutions on AWS Training Course Overview/Content: This course is designed to teach you how to:  Understand Apache Hadoop in the context of Amazon EMR  Understand the architecture of an Amazon EMR cluster  Launch an Amazon EMR cluster using an appropriate Amazon Machine Image and Amazon EC2 instance types  Choose appropriate AWS data storage options for use with Amazon EMR  Know your options for ingesting, transferring, and compressing data for use with Amazon EMR  Use common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming  Work with Amazon Redshift to implement a big data solution  Leverage big data visualization software  Choose appropriate security options for Amazon EMR and your data  Perform in-memory data analysis with Spark and Shark on Amazon EMR  Choose appropriate options to manage your Amazon EMR environment cost-effectively  Understand the benefits of using Amazon Kinesis for big data  This course will cover the following concepts on each day:  Day 1  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  Day 2  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  Day 3  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  Note: course outline may vary slightly based on the regional location and/or language in which the class is delivered.  Big Data on AWS delivered at the London training centre.

P.IVA 06249920965
C.C.I.A.A. REA: MI - 1880014
Cap. Soc. € 12.000,00


V.le P.A. Pirelli 6,20126 Milano
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Tel.: +39 02 694 382 64
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