AWS DATA WAREHOUSE TRAINING Duration: 15 Hrs

The concept of Data Warehousing is mainly used for data analysis and reporting. It is the most popularly known as Enterprise Data Warehouse. It is considered as a key element of Business Intelligence. It is also defined as a process of collecting and managing data from various sources in order to provide suitable business insights. Data Warehousing is also used to perform data analysis and queries. In this module, you will get to know in clear about the need for a data warehouse in organizations and also its key benefits.

Topics Covered in this module are:

•  What is Data Warehouse
• Data Warehouse Modeling
• What is Meta Data and Data Mart
• Operational Data Stores
• OLAP Technology
• Dimensional Modeling
• What is star schema
• Data Warehouse Tools
• Database Parallelism

Data Warehouse Architecture is defined as a collection of data from different sources and manages the data resources. Basically, the data warehouse adapts a three-tier architecture. In Data Warehouse, the data sources are organized under a unified schema. Many organizations make use of a data warehouse electronic system to collect and manage data from different sources within a company. The Architecture of the data warehouse can also be defined based on the organization’s specific needs. In this module, you will get to know in detail about the concepts and components present in the data warehouse architecture. 

Topics Covered in this module are:

• Basic Data Warehouse Architecture
• End-User Access Tools
• Data Warehouse Architecture with Staging Area
• Data Warehouse Architecture with Data Marts and Staging Area
• Data Warehouse Architecture Properties
• Types of Data Warehouse Architectures

Amazon Web Services is the most in-demand cloud computing platform used by many organizations and vendors. It also offers a wide variety of cloud computing services and APIs for individuals and businesses. It provides various cloud services like Platform as a Service (PaaS), Software as a Service (SaaS), and Platform as a Service (PaaS). AWS is the most prominently used cloud service and it also offers various products. 

Topics Covered in this module are:

• What is AWS
• Identity and Access Management
• AWS Storage Services
• AWS EC2
• Database and Application Services
• AWS Key Features

AWS Data Warehouse is mainly designed to make use of effective methods like data distribution, sort methods, and compression. Data Warehousing is mainly used for data analysis and reporting. It is the most popularly known as Enterprise Data Warehouse. You will also learn how to collect data from data warehouse by using various AWS services like Amazon EMR, Amazon DynamoDB, Amazon Redshift, and a lot more. 

Topics Covered in this module are:

• Data Warehousing on AWS
• How to implement a data warehouse on AWS
• Deploy a Data Warehouse on AWS
• Amazon Redshift
• The building of data warehouse using Amazon Redshift
• Advantages of AWS Data Warehouse

Amazon Redshift is the most popular data warehousing service provided by Amazon Web Services. Using Amazon Redshift, you can collect and manage data from various sources, and then you can analyze the data using Business Intelligence tools to provide meaningful business insights for the customers and businesses. With the help of Amazon Redshift, you can scale huge volumes of data into petabytes. In this module, you will get to know more in detail the Amazon Redshift operations and its services.

Topics Covered in this module are:

• Introduction to Amazon Redshift
• How to set up Amazon Redshift
• Configuring Security Groups
• Use of Amazon Redshift Cluster
• Key Features of Amazon Redshift

Data Warehouse is considered as a key element of Business Intelligence. It is also defined as a process of collecting and managing data from various sources in order to provide suitable business insights. Data Warehouse is mainly designed to make use of effective methods like data distribution, compression, and many more. Amazon Redshift is the key data warehousing service provided by Amazon Web Services. Using Amazon Redshift, you can deploy a data warehouse within minutes and then start analyzing data sources using various Business Intelligence tools.

Topics Covered in this module are:

• AWS Data Warehouse
• How to deploy a Data Warehouse using Amazon Redshift
• Analyzing data by Data Warehousing
• Creating an Amazon Redshift Cluster
• Configuring Amazon Redshift Cluster

You can modernize Data Warehouse using Amazon Redshift. The central management of your data warehouse can be done using Redshift. The modern data warehouse in AWS is mainly used to support huge volumes of data within the company. In this module, you will gain expertise in data warehouse modernization along with its key benefits. 

Topics Covered in this module are:

• What is a Modern Data Warehouse
• IAM Roles
• DNS Names
• Amazon Route 53
• Amazon VPC
• Data Warehouse Management using Amazon Redshift

Amazon DynamoDB is the most popular NoSQL database service provided by Amazon as a part of Amazon Web Services. This Amazon DynamoDB supports document data structures and key values. It is a durable and multi-region database with built-in security and backup services. This database provides fast performance at any scale. In this module, you will get to know more in detail about the use of the Amazon Dynamo Database and its different underlying implementations. 

Topics Covered in this module are:

• Introduction to Amazon Dynamo Database
• How to set up and access Amazon DynamoDB
• How to program with Amazon DynamoDB
• Point-in-time Recovery
• What is NoSQL Workbench
• DynamoDB Transactions
• Amazon DynamoDB Resources

Amazon Simple Storage Service (S3) is the core service offered by AWS. Some scalable storage infrastructures are used by Amazon S3 to provide object storage services. The main aim of Amazon S3 is to allow developers to make use of web-scale computing easily. Using the Amazon S3 web interface will make you have the ability to store and retrieve any amount of data at any time. 

Topics Covered in this module are:

• What is Amazon S3
• Amazon S3 Batch Operations
• What are Buckets and Objects
• AWS SDKs
• Storage Class Analysis
• Monitoring and Error Handling
• Server Access Logging

Nowadays enterprises are migrating their data warehouses from on-premises to the cloud. Amazon Web Services also offers various services to implement a data warehouse workflow from storage and data collection to perform visualization and processing. 

Topics Covered in this module are:

• What is a data warehouse
• Enterprise Data Warehousing
• Key features of Enterprise Data Warehousing

Amazon Elastic Map Reduce is an AWS tool for processing and analysis of big data. It also offers low-configuration service to run in-house cluster computing. In this module, you will get to know more clearly about Amazon EMR and its services.

Topics Covered in this module are:

• Amazon EMR Overview
• Amazon EMR Architecture
• Use of EMR Notebooks
• How to configure clusters
• How to Manage and Troubleshoot a Cluster

Amazon Redshift Data Warehouse is mainly used to collect and manage data from various sources in order to provide suitable business insights. This collection of computing resources are known as nodes. These nodes are organized into a group called a cluster. Each cluster contains one or more databases and that runs on the Amazon Redshift engine. 

Topics Covered in this module are:

• Amazon Redshift Overview
• Managing Clusters using Amazon Redshift API and CLI
• How to monitor Cluster Performance
• How to query a Database

Every single class has been recorded so you will get the daily class recordings everyday. 

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Yes, for every training session there is a demo class before going to start training. 

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