Sas 9.1 Etl Studio PDF Download
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Author: SAS Institute
Publisher: SAS Institute
ISBN: 9781590474617
Category : Computers
Languages : en
Pages : 207
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Book Description
The ETL process consists of all the steps necessary to extract data from different locations, transform raw operational data into consistent, high-quality business data, and load the data into a data warehouse. SAS provides all of this with the addition of an easy-to-use, metadata-driven warehouse management environment. This manual explains how to use SAS ETL Studio to specify metadata for sources, such as tables in an operational system; specify metadata for targets--the tables and other data stores in a data warehouse; and create jobs that specify how data is extracted, transformed, and loaded from sources to targets. This manual also summarizes how to set up servers, libraries, and other resources that SAS ETL Studio requires. A data warehouse for a fictional company, Orion Star Sports & Outdoors, is used to illustrate these tasks. The audience for this manual is users who are responsible for implementing data warehouses and who have a working knowledge of Base SAS software. Supports releases 9.1 and higher of SAS software.
Author: SAS Institute
Publisher: SAS Institute
ISBN: 9781590474617
Category : Computers
Languages : en
Pages : 207
Get Book Here
Book Description
The ETL process consists of all the steps necessary to extract data from different locations, transform raw operational data into consistent, high-quality business data, and load the data into a data warehouse. SAS provides all of this with the addition of an easy-to-use, metadata-driven warehouse management environment. This manual explains how to use SAS ETL Studio to specify metadata for sources, such as tables in an operational system; specify metadata for targets--the tables and other data stores in a data warehouse; and create jobs that specify how data is extracted, transformed, and loaded from sources to targets. This manual also summarizes how to set up servers, libraries, and other resources that SAS ETL Studio requires. A data warehouse for a fictional company, Orion Star Sports & Outdoors, is used to illustrate these tasks. The audience for this manual is users who are responsible for implementing data warehouses and who have a working knowledge of Base SAS software. Supports releases 9.1 and higher of SAS software.
Author: SAS Institute
Publisher: SAS Institute
ISBN: 9781590476352
Category : Computers
Languages : en
Pages : 218
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Book Description
The ETL process consists of all the steps necessary to extract data from different locations, transform raw operational data into consistent, high-quality business data, and load the data into a data warehouse.
Author: SAS Institute Staff
Publisher:
ISBN: 9781612905600
Category :
Languages : en
Pages : 0
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Book Description
Describes the main tasks that you can perform in SAS Data Integration Studio, including: data access; data integration; metadata management; data cleansing and enrichment; extract, transform, and load (ETL); extract, load, and transform (ELT); and service-oriented architecture (SOA) and message queue integration.
Author: Sas Institute
Publisher:
ISBN: 9781612905235
Category :
Languages : en
Pages : 0
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Book Description
Describes the main tasks that you can perform in SAS Data Integration Studio, including: data access; data integration; metadata management; data cleansing and enrichment; extract, transform, and load (ETL); extract, load, and transform (ELT); and service-oriented architecture (SOA) and message queue integration.
Author: SAS Institute
Publisher:
ISBN: 9781612903712
Category : SAS (Computer file).
Languages : en
Pages : 0
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Book Description
Describes the main tasks that you can perform in SAS Data Integration Studio, including: data access; data integration; metadata management; data cleansing and enrichment; extract, transform, and load (ETL); extract, load, and transform (ELT); and service-oriented architecture (SOA) and message queue integration. This title is also available online.
Author:
Publisher:
ISBN: 9781599949192
Category : Data mining
Languages : en
Pages : 0
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Book Description
Describes the main tasks that you can perform with SAS Data Integration Studio.
Author: SAS Institute
Publisher:
ISBN: 9781612904481
Category : Data integration (Computer science)
Languages : en
Pages :
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Book Description
Author: SAS Institute
Publisher: Sas Inst
ISBN: 9781599941981
Category : Computers
Languages : en
Pages : 393
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Book Description
This manual is a task-oriented introduction to the main features of SAS Data Integration Studio. SAS Data Integration Studio is a visual design tool that enables you to consolidate and manage enterprise data from a variety of source systems, applications, and technologies. The audience for this manual is users who are responsible for data integration and who have a working knowledge of Base SAS software. This title is also available online.
Author: SAS Institute
Publisher: Sas Inst
ISBN: 9781599943763
Category : Computers
Languages : en
Pages : 395
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Book Description
Explains how to administer the SAS Web applications that run in the middle tier of the SAS Intelligence Platform. The Web applications include the SAS Information Delivery Portal, SAS Web Report Studio, and SAS Web OLAP Viewer for Java.This guide describes the middle-tier environment, provides sample deployment scenarios, and explains how to configure the Web applications for optimal performance. The guide contains instructions for common administrative tasks, such as configuring trusted Web authentication, as well as instructions for administering the individual Web applications. For example, the guide explains how to add content to the SAS Information Delivery Portal and how to control access to that content. This title is also available online.
Author: Benjamin S. Baumer
Publisher: CRC Press
ISBN: 0429575394
Category : Business & Economics
Languages : en
Pages : 830
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Book Description
From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions. The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.
