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[FreeCoursesOnline.Me] [Packt] Hands-On Amazon Redshift For Data Warehousing [FCO]
TORRENT SUMMARY
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Build scalable, serverless data warehouses with machine learning and massively parallel processing in the cloud with Amazon Redshift
Video Details
ISBN 9781838558888
Course Length 2 hour 14 minutes
Table of Contents
• DATA WAREHOUSING FOR THE INTERNET AGE
• GETTING STARTED WITH REDSHIFT
• CREATING A REDSHIFT DATA WAREHOUSE FROM DISPARATE DATASETS
• OPTIMIZING REDSHIFT FOR SCALE
• CONNECTING REDSHIFT WITH DISCONNECTED DATA USING REDSHIFT SPECTRUM
• VISUALIZING YOUR RESULTS WITH AMAZON QUICKSIGHT
Video Description
Amazon Redshift is a low-cost cloud data platform that can scale from gigabytes to petabytes on a high-performance, column-oriented SQL engine. Amazon Redshift brings the power of scale-out architecture to the world of traditional data warehousing.
In this course, you will explore this low-cost, cloud-based storage, which can be scaled up or down to meet your true size and performance needs. You will learn to configure a sample data warehouse. Next, you will explore Redshift's internal workings and architecture, and learn what makes it so fast. You will get hands-on experience connecting, querying, and building BI and data viz products and learn how to secure, maintain, and administer your new platform.
By the end of this course, you will be able to scale from gigabytes to petabytes on this high-performance, column-oriented SQL engine.
All the code files related to this course are available on Github at - https://github.com/PacktPublishing/Hands-On-Amazon-Redshift-for-Data-Warehousing-V-
Style and Approach
This course will help you understand the need for data warehousing—how data warehousing differs from an application database, with practical examples of each. You will learn to drive different architectural styles and choices via an example that shows how one approach doesn't solve both problems. Our author will help you tackle challenges head-on, and applies-cutting edge techniques to accelerate the development of data warehouses on the cloud with practical examples showing how query performance is dramatically accelerated.
What You Will Learn
• Understand data warehousing principles and how Redshift is challenging the traditional way of thinking
• See how Redshift integrates with the AWS Cloud ecosystem
• Learn how Redshift leverages the latest technology to provide up to 10x the performance of competing technologies
• Create a cloud native, fully managed data warehouse and use it to join together disparate data sets
• Connect your new data warehouse with disjointed data stored on Amazon S3 with Redshift Spectrum
• Visualise your newly connected data sets with Amazon Quicksight
• Dive headfirst into building a Redshift data warehouse using a diversified data set
• Connect to and optimize your data warehouse and join data sets together
• Connect data in your data warehouse with data on Amazon S3 with Redshift spectrum
Authors
James Cross
Colibri Digital is a technology consultancy company founded in 2015 by James and Ingrid Cross. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, machine learning, and cloud computing.
Over the past few years they have worked with some of the world's largest and most prestigious companies, including tier 1 investment banks, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways. (Read More At official Page).
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FILE LIST
Filename
Size
1 - Data Warehousing for the Internet Age/01 - The Course Overview.mp4
8.4 MB
1 - Data Warehousing for the Internet Age/02 - Do We Still Need a Data Warehouse.mp4
11 MB
1 - Data Warehousing for the Internet Age/03 - Data Technologies Compared - Relational, Data Warehouse, NoSQL, and Big Data.mp4
8.5 MB
1 - Data Warehousing for the Internet Age/04 - Providing Business Intelligence on Internet Scale Data.mp4
9.8 MB
1 - Data Warehousing for the Internet Age/05 - Cloud-Native Data Warehousing.mp4
6 MB
2 - Getting Started with Redshift/06 - Launching a Redshift Data Warehouse on AWS.mp4
12.5 MB
2 - Getting Started with Redshift/07 - Launching a Redshift Data Warehouse Using Cloudformation.mp4
17.7 MB
2 - Getting Started with Redshift/08 - Redshift Technology Deep Dive - Columnar File System.mp4
9 MB
2 - Getting Started with Redshift/09 - Redshift Technology Deep Dive - Massively Parallel Processing.mp4
7.8 MB
3 - Creating a Redshift Data Warehouse from Disparate Data Sets/10 - Sourcing Appropriate Data Sets.mp4
11.9 MB
3 - Creating a Redshift Data Warehouse from Disparate Data Sets/11 - Ingesting Various Sizes of Data Set into Redshift.mp4
26.5 MB
3 - Creating a Redshift Data Warehouse from Disparate Data Sets/12 - Connecting to and Querying the Data Warehouse.mp4
15.1 MB
3 - Creating a Redshift Data Warehouse from Disparate Data Sets/13 - Redshift Technology Deep Dive - Query Caching.mp4
8.4 MB
4 - Optimizing Redshift for Scale/14 - Ingesting Enormous Volumes of Data by Copying Directly from S3.mp4
28.6 MB
4 - Optimizing Redshift for Scale/15 - Optimizing Redshift Data Types for Query Performance at Scale.mp4
8.6 MB
4 - Optimizing Redshift for Scale/16 - Evenly Distributing Data Across Your Cluster to Improve Filters and Joins.mp4
14.9 MB
5 - Connecting Redshift with disconnected Data using Redshift Spectrum/17 - Exploratory Analytics for Disconnected Data.mp4
12.1 MB
5 - Connecting Redshift with disconnected Data using Redshift Spectrum/18 - Loading a Disconnected Data Set.mp4
22.7 MB
5 - Connecting Redshift with disconnected Data using Redshift Spectrum/19 - Glue Data Catalog - Creating a Schema for the External Data Set.mp4
18.9 MB
6 - Visualizing your results with Amazon Quicksight/20 - The BI Use Case for Data Warehousing.mp4
10.6 MB
6 - Visualizing your results with Amazon Quicksight/21 - Introducing Amazon Quicksight.mp4
17.4 MB
6 - Visualizing your results with Amazon Quicksight/22 - What Is Spice and How Can It Be Used to Accelerate Analysis.mp4
8.9 MB
6 - Visualizing your results with Amazon Quicksight/23 - Loading Data into SPICE.mp4
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