Learn Data Warehousing In 1 Day
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Learn Data Warehousing In 1 Day
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Author : Krishna Rungta
language : en
Publisher:
Release Date : 2018-02-15
Learn Data Warehousing In 1 Day written by Krishna Rungta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-15 with categories.
Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about "Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The book covers upcoming and promising technologies like Data Lakes, Data Mart, ELT (Extract Load Transform) amongst others. Following are detailed topics included in the book Table content Chapter 1: What Is Data Warehouse? What is Data Warehouse? Types of Data Warehouse Who needs Data warehouse? Why We Need Data Warehouse? Data Warehouse Tools Chapter 2: Data Warehouse Architecture Characteristics of Data warehouse Data Warehouse Architectures Datawarehouse Components Query Tools Chapter 3: ETL Process What is ETL? Why do you need ETL? ETL Process ETL tools Chapter 4: ETL Vs ELT What is ETL? Difference between ETL vs. ELT Chapter 5: Data Modeling What is Data Modelling? Types of Data Models Characteristics of a physical data model Chapter 6: OLAP What is Online Analytical Processing? Types of OLAP systems Advantages and Disadvantages of OLAP Chapter 7: Multidimensional Olap (MOLAP) What is MOLAP? MOLAP Architecture MOLAP Tools Chapter 8: OLAP Vs OLTP What is the meaning of OLAP? What is the meaning of OLTP? Difference between OLTP and OLAP Chapter 9: Dimensional Modeling What is Dimensional Model? Elements of Dimensional Data Model Attributes Difference between Dimension table vs. Fact table Steps of Dimensional Modelling Rules for Dimensional Modelling Chapter 10: Star and SnowFlake Schema What is Multidimensional schemas? What is a Star Schema? What is a Snowflake Schema? Difference between Start Schema and Snowflake Chapter 11: Data Mart What is Data Mart? Type of Data Mart Steps in Implementing a Datamart Chapter 12: Data Mart Vs Data Warehouse What is Data Warehouse? What is Data Mart? Differences between a Data Warehouse and a Data Mart Chapter 13: Data Lake What is Data Lake? Data Lake Architecture Key Data Lake Concepts Maturity stages of Data Lake Chapter 14: Data Lake Vs Data Warehouse What is Data Warehouse? What is Data Lake? Key Difference between the Data Lake and Data Warehouse Chapter 15: What Is Business Intelligence? What is Business Intelligence Why is BI important? How Business Intelligence systems are implemented? Four types of BI users Chapter 16: Data Mining What is Data Mining? Types of Data Data Mining Process Modelling
Learn Data Warehousing In 24 Hours
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Author : Alex Nordeen
language : en
Publisher: Guru99
Release Date : 2020-09-15
Learn Data Warehousing In 24 Hours written by Alex Nordeen and has been published by Guru99 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with Computers categories.
Unlike popular belief, Data Warehouse is not a single tool but a collection of software tools. A data warehouse will collect data from diverse sources into a single database. Using Business Intelligence tools, meaningful insights are drawn from this data. The best thing about “Learn Data Warehousing in 1 Day" is that it is small and can be completed in a day. With this e-book, you will be enough knowledge to contribute and participate in a Data warehouse implementation project. The book covers upcoming and promising technologies like Data Lakes, Data Mart, ELT (Extract Load Transform) amongst others. Following are detailed topics included in the book Table Of Content Chapter 1: What Is Data Warehouse? 1. What is Data Warehouse? 2. Types of Data Warehouse 3. Who needs Data warehouse? 4. Why We Need Data Warehouse? 5. Data Warehouse Tools Chapter 2: Data Warehouse Architecture 1. Characteristics of Data warehouse 2. Data Warehouse Architectures 3. Datawarehouse Components 4. Query Tools Chapter 3: ETL Process 1. What is ETL? 2. Why do you need ETL? 3. ETL Process 4. ETL tools Chapter 4: ETL Vs ELT 1. What is ETL? 2. Difference between ETL vs. ELT Chapter 5: Data Modeling 1. What is Data Modelling? 2. Types of Data Models 3. Characteristics of a physical data model Chapter 6: OLAP 1. What is Online Analytical Processing? 2. Types of OLAP systems 3. Advantages and Disadvantages of OLAP Chapter 7: Multidimensional Olap (MOLAP) 1. What is MOLAP? 2. MOLAP Architecture 3. MOLAP Tools Chapter 8: OLAP Vs OLTP 1. What is the meaning of OLAP? 2. What is the meaning of OLTP? 3. Difference between OLTP and OLAP Chapter 9: Dimensional Modeling 1. What is Dimensional Model? 2. Elements of Dimensional Data Model 3. Attributes 4. Difference between Dimension table vs. Fact table 5. Steps of Dimensional Modelling 6. Rules for Dimensional Modelling Chapter 10: Star and SnowFlake Schema 1. What is Multidimensional schemas? 2. What is a Star Schema? 3. What is a Snowflake Schema? 4. Difference between Start Schema and Snowflake Chapter 11: Data Mart 1. What is Data Mart? 2. Type of Data Mart 3. Steps in Implementing a Datamart Chapter 12: Data Mart Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Mart? 3. Differences between a Data Warehouse and a Data Mart Chapter 13: Data Lake 1. What is Data Lake? 2. Data Lake Architecture 3. Key Data Lake Concepts 4. Maturity stages of Data Lake Chapter 14: Data Lake Vs Data Warehouse 1. What is Data Warehouse? 2. What is Data Lake? 3. Key Difference between the Data Lake and Data Warehouse Chapter 15: What Is Business Intelligence? 1. What is Business Intelligence 2. Why is BI important? 3. How Business Intelligence systems are implemented? 4. Four types of BI users Chapter 16: Data Mining 1. What is Data Mining? 2. Types of Data 3. Data Mining Process 4. Modelling 5. Data Mining Techniques Chapter 17: Data Warehousing Vs Data Mining 1. What is Data warehouse? 2. What Is Data Mining? 3. Difference between Data mining and Data Warehousing?
The National Guide To Educational Credit For Training Programs
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Author : American Council on Education
language : en
Publisher: Greenwood
Release Date : 2005
The National Guide To Educational Credit For Training Programs written by American Council on Education and has been published by Greenwood this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Business & Economics categories.
Highlights over 6,000 educational programs offered by business, labor unions, schools, training suppliers, professional and voluntary associations, and government agencies.
Professional Microsoft Sql Server 2012 Analysis Services With Mdx And Dax
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Author : Sivakumar Harinath
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-02
Professional Microsoft Sql Server 2012 Analysis Services With Mdx And Dax written by Sivakumar Harinath and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-02 with Computers categories.
SQL Server 2012 is packed with powerful new Analysis Services features that will dramatically enhance business intelligence. Written by key members to Microsoft's product team, this book shows you how to apply these new capabilities to create sophisticated BI solutions. In order to accomplish this, you'll learn how to design, build, and work with the multidimensional and tabular Business Intelligence Semantic Model (BISM) using SQL Server Analysis Services. You'll then use MDX and DAX to query those databases so you can provide advanced analysis of business problems and build end-to-end solutions to meet your needs. -- Back cover
Oracle8i Data Warehousing
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Author : Michael J. Corey
language : en
Publisher: McGraw-Hill Companies
Release Date : 2001
Oracle8i Data Warehousing written by Michael J. Corey and has been published by McGraw-Hill Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
Plan and build a robust data warehousing and analysis solution. Officially authorized by Oracle Corporation, this resource explains how to create a single integrated source of corporate business information.
Data Warehousing And Mining
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Author : John Wang
language : en
Publisher:
Release Date : 2008
Data Warehousing And Mining written by John Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.
"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.
Sams Teach Yourself Mysql In 21 Days
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Author : Mark Maslakowski
language : en
Publisher: Sams Publishing
Release Date : 2000
Sams Teach Yourself Mysql In 21 Days written by Mark Maslakowski and has been published by Sams Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
This guide teaches readers how to design and implement their an open source database. Topics include designing and creating a database; normalizing data; adding tables, columns and indexes; importing and exporting data; administering, optimizing and troubleshooting My SQL; and locks and keys.
Data Warehousing And Mining
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Author :
language : en
Publisher:
Release Date : 2008
Data Warehousing And Mining written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data mining categories.
"This collection offers tools, designs, and outcomes of the utilization of data mining and warehousing technologies, such as algorithms, concept lattices, multidimensional data, and online analytical processing. With more than 300 chapters contributed by over 575 experts from around the globe, this authoritative collection will provide libraries with the essential reference on data mining and warehousing"--Provided by publisher.
Forthcoming Books
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Author : Rose Arny
language : en
Publisher:
Release Date : 2003-04
Forthcoming Books written by Rose Arny and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04 with American literature categories.
Journal Of Object Oriented Programming
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Author :
language : en
Publisher:
Release Date : 2000
Journal Of Object Oriented Programming written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Object-oriented programming (Computer science) categories.