Praha (1 650 €)
Brno (na vyžádání)
Bratislava (1 650 €)
Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of 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 Hive and Hue. 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.
Amazon Web Services authorized e-book included.
Note: course outline may vary slightly based on the regional location and/or language in which the class is delivered.
This course will cover the following concepts on each day:
Overview of Big Data
Ingestion, Transfer, and Compression
Storing and Querying Data on DynamoDB
Big Data Processing and Amazon Kinesis
Introduction to Apache Hadoop and Amazon EMR
Using Amazon Elastic MapReduce
Hadoop Programming Frameworks
Processing Server Logs with Hive on Amazon EMR
Processing Chemistry Data Using Hadoop Streaming on Amazon EMR
Streamlining Your Amazon EMR Experience with Hue
Running Pig Scripts in Hue on Amazon EMR
Spark on Amazon EMR
Interactively Creating and Querying Tables with Spark and Spark SQL on Amazon EMR
Managing Amazon EMR Costs
Securing your Amazon EMR Deployments
Data Warehouses and Columnar Datastores
Amazon Redshift and Big Data
Optimizing Your Amazon Redshift Environment
Big Data Design Patterns
Visualizing and Orchestrating Big Data
Using Tibco Spotfire to Visualize Big Data
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