Teradata Cookbook: Over 85 recipes to implement efficient data warehousing solutions

Teradata Cookbook: Over 85 recipes to implement efficient data warehousing solutions9781787280786

Teradata Cookbook: Over 85 recipes to implement efficient data warehousing solutions

By 作者: Abhinav Khandelwal - Rajsekhar Bhamidipati
ISBN-10 书号: 1787280780
ISBN-13 书号: 9781787280786
Release Finelybook 出版日期: 2018-02-15
Pages 页数: 454

The Book Description robot was collected from Amazon and arranged by Finelybook

Teradata is an enterprise software company that develops and sells its eponymous relational database management system (RDBMS), which is considered to be a leading data warehousing solutions and provides data management solutions for analytics. This book will help you get all the practical information you need for the creation and implementation of your data warehousing solution using Teradata.
The book begins with recipes on quickly setting up a development environment so you can work with different types of data structuring and manipulation function. You will tackle all problems related to efficient querying, stored procedure searching, and navigation techniques. Additionally, you’ll master various administrative tasks such as user and security management, workload management, high availability, performance tuning, and monitoring.
This book is designed to take you through the best practices of performing the real daily tasks of a Teradata DBA, and will help you tackle any problem you might encounter in the process.

Contents


1: INSTALLATION
2: SQLS
3: ADVANCED SQL WITH BACKUP AND RESTORE
4: ALL ABOUT INDEXES
5: MIXING STRATEGIES – JOINING OF TABLES
6: BUILDING LOADING UTILITY – REPLICATION AND LOADING
7: MONITORING THE BETTER WAY
8: COLLECT STATISTICS THE BETTER WAY
9: APPLICATION AND OPS DBA INSIGHT
10: DBA INSIGHT
11: PERFORMANCE TUNING
12: TROUBLESHOOTING
What You Will Learn
Understand Teradata's competitive advantage over other RDBMSs.
Use SQL to process data stored in Teradata tables.
Leverage Teradata’s available application utilities and parallelism to play with large datasets
Apply various performance tuning techniques to optimize the queries.
Acquire deeper knowledge and understanding of the Teradata Architecture.
Easy steps to load, archive, restore data and implement Teradata protection features
Gain confidence in running a wide variety of Data analytics and develop applications for the Teradata environment
Authors
Abhinav Khandelwal
Abhinav Khandelwal has 11 years of industry experience in BI, analytics, and data warehousing. He gained a BE from GIT Sitapura, Jaipur. He is pursuing his MBA at Welingkar, Mumbai and is currently based in Melbourne. He acts as a senior consultant on BI DWH projects. He has also been in the news for his award-winning projects. For more information, you can refer to his blogs called as anonymously rave and three of kind. Contact him on Twitter at @abhi_khandu.
Rajsekhar Bhamidipati
Rajsekhar Bhamidipati has 13 years' industry experience in Teradata and DWH and gained his BTech from BPUT Rourkela. He is working in Pune with Teradata Corp as a Senior Teradata Specialist on Teradata DWH projects. He has been associated with Teradata for more than 8 years and has successfully led multiple projects in various roles, with notable success in service delivery. He leverages Teradata and related technologies in the areas of database administration, workload, performance and cloud.

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