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Amazon Web ServicesOur Big Data with Hadoop training course is designed to show Software Developers, DBAs, Business Intelligence Analysts, Software Architects and other vested stakeholders how to use key Open Source technologies in order to derive significant value from extremely large data sets. We will show you how to overcome the challenges of managing and analysing Big Data with tools and techniques such as Apache Hadoop, NoSQL databases and Cloud Computing services. Our Big Data with Hadoop course features extensive hands-on exercises reflecting real-world scenarios, and you are encouraged to take these away to kick-start your own Big Data efforts. This course gives an industry accreditation to business investigators, information distribution center specialists or different experts with comparative foundations to help them change into the universe.
Design, develop and deploy cloud based solutions using AWS
Understand the core AWS services, uses, and basic architecture best practices
Develop and maintain applications written for Amazon Simple Storage Services (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWF), AWS Elastic Beanstalk, and AWS CloudFormation
Professional experience using AWS technology
Hands-on experience programming with AWS APIs
Understanding of AWS Security best practices
Understanding of automation and AWS deployment tools
Understanding storage options and their underlying consistency models
Excellent understanding of at least one AWS SDK
Understanding of stateless and loosely coupled distributed applications
Familiarity developing with RESTful API interfaces
Basic understanding of relational and non-relational databases
Familiarity with messaging & queuing services
Familiarity with architectural trade-off decisions (high availability vs. cost, Amazon Relational Database Service (RDS) vs. installing your own database on Amazon Elastic Compute Cloud (EC2))
Amazon S3, Amazon Simple Workflow Service (SWF), and Messaging
DynamoDB, AWS Elastic Beanstalk, AWS CloudFormationv
AWS security attributes (customer workloads down to physical layer)
CIA and AAA models, ingress vs. egress filtering, and which AWS services and features fit
General troubleshooting information and questions
Delegates should have an understanding of Enterprise application development, business systems integration and or Database Design / Querying / Reporting. In simple terms, working knowledge of the Microsoft Windows platform and basic database concepts.
By the end of this course, you will have learnt Big Data Patterns and Anti-Patterns, Hadoop, HDFS, MapReduce with examples, NoSQL Databases with demonstrations in Cassandra, HBase and others, Building Data Warehouses with Hive, Integration with SQL Databases, Parallel Programming with Pig Machine Learning & Pattern Matching with Apache Mahout, Utilise Amazon Web Services.
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