What are the differences between SAS Enterprise Guide and SAS Data Integration Studio? Under what circumstances should each tool be used? If examples could be given, it'd be great!
Both SAS Enterprise Guide and SAS Data Integration Studio run SAS code and generate tables and reports, but the main difference is the meta-data.
SAS Enterprise Guide is based on the physical structures of the artifacts you're working with while SAS Data Integration Studio is based on their registered metadata. This means SAS Data Integration Studio is better equipped for a formal workflow of design-build-test while SAS Enterprise Guide is more targeted at ad-hoc, analytical and end-user work.
SAS Enterprise Guide
When you want to drive the SAS analytics engine running on a mainframe, or other remote machines as a server application. It provides a modern, easy-to-use interface, used by SAS programmers, business analysts, people who might or might not have programming skills, and statisticians.
SAS Data Integration Studio
When you want to create and maintain data warehouses and data marts, which will help in effective reporting and analytics. Database administrators and IT specialists — people who support other folks who have to create reports — use SAS Data Integration Studio. Like SAS Enterprise Guide, SAS Data Integration Studio is a client application that runs on your desktop , but it can connect to SAS and databases that run on machines all over the organization.
SAS ENTERPRISE GUIDE
SAS Enterprise Guide provides a modern, easy-to-use interface to much of the power of SAS. SAS Enterprise Guide is used by SAS programmers, business analysts , and statisticians. It’s a Microsoft Windows application that can connect to SAS; you can use it to drive the SAS analytics engine running on a mainframe, UNIX, or other remote machines as a server application. SAS Enterprise Guide is like a general store for SAS, where you can get a little bit of everything that SAS has to offer.
SAS DATA INTEGRATION STUDIO
SAS Data Integration Studio is used to create and maintain data warehouses and data marts, which are specialized stores of data that have been prepared for effective reporting and analytics. Data experts, such as database administrators and IT specialists — people who support other folks who have to create reports — use SAS Data Integration Studio. Like SAS Enterprise Guide, this is a client application that runs on your desktop and provides an intuitive user interface, but it can connect to SAS and databases that run on machines all over your organization.
Enterprise guide is a coding environment in a more classical way. There are helpers to generate code like query builder, but it is code based. It is easier .
The concept of Data Integration is quite different it is not code based instead it is metadata based. With the relations of metadata (records/fields) wiht the transformations pattersn jobs are generated. The jobs are seen as SAS - code. There you the difference. Where code/tasks is the object you are working on wiht Eguide wiht DI it are the results of that generation as like the SAS-metadata is your source-code and the relulting sas-code is the executable.
SAS Enterprise Guide - provides fast-track learning for quick data analysis, generates code for productivity and speeds your ability to deploy analyses and forecasts in real time.
SAS Data Integration Studio - Great tool for consuming SAS metadata to do querying, reporting and analysis
Enterprise Guide can be used for basic ETL,
when you need enterprise data integration capabilities, Data Integration Studio becomes the better choice.
Example Person A : Expert with programming,specialist , wants to do indepth analysis and produce effective reports . Person B : Not so good with programing , or still new . Wants to do a quick review or analysis .
SAS DI Studio would be better for Person A and SAS EG would be better for Person B
SAS Enterprise Guide
SAS Enterprise Guide is a point-and-click, menu- and wizard-driven tool that empowers users to analyze data and publish results. It provides fast-track learning for quick data analysis, generates code for productivity and speeds your ability to deploy analyses and forecasts in real time.
SAS Data Integration Studio
SAS Data Integration Studio provides a powerful visual design tool for building, implementing and managing data integration processes regardless of data sources, applications, or platforms. An easy-to-manage, multiple-user environment enables collaboration on large enterprise projects with repeatable processes that are easily shared. The creation and management of data and metadata are improved with extensive impact analysis of potential changes made across all data integration processes. Enabling users to quickly build and edit data integration, to automatically capture and manage standardized metadata from any source, and to easily display, visualize, and understand enterprise metadata and your data integration processes.
Differences between SAS Enterprise Guide and SAS Data Integration Studio
• Enterprise Guide does not have a loop construct
• Enterprise Guide does not have pre-built auditing, pre and post processing, data validation, lookup, and data loader transformations.
• Creating and using indexes in Data Integration Studio is a couple of mouse clicks which is more difficult in Enterprise Guide.
• Deploying code is more cumbersome in Enterprise Guide. For each job, an Enterprise Guide project must first be run, exported, and then deployed in SAS management console (if using Platform scheduling). Data Integration Studio allows multiple jobs to be deployed with a single 'click'.
• Modifying Enterprise Guide projects can be a little tricky. An Enterprise Guide project can't be edited until it has first been run in the current session (except for custom code). If custom code is being edited, the project must be re-run to ensure the correct code is exported. An easy step to forget.
• Data Integration Studio SQL transformation is more advanced than the Enterprise Guide query window. eg for performance tuning, multi-column outer joins (changed under Enterprise Guide 4.3?)
When to use SAS Enterprise Guide
— When you need to integrate an extensive array of analytics with the power of SAS software in an efficient, user-friendly graphical user interface application.
— The need to manage access to corporate data ensuring that users have appropriate access privileges that empower them to react quickly to evolving business conditions with a centralized system.
— Quick access to data for analysis, schedule projects, share results and embed output easily for repeated use – including access to advanced analytics and other SAS capabilities.
— Distribute interactive content to Microsoft Office and Web users.
When to use SAS Data Integration Studio
— When you want to add new source systems easily and manage security centrally. This saves time, shortens learning curves and gives you the information and confidence you need to make data-driven decisions.
— To deliver consistent, trusted and verifiable information.
— When you want to reduce costs by eliminating overlapping, redundant tools and complex system architectures. It minimizes the time and effort associated with piecemeal approaches that entail linking and managing technologies from different vendors – to ensure data credibility, reduce risk and speed results.
It’s about the Metadata
What do I mean by this? Well, in EG you work with tables and SAS code (either with EG tasks or hand written code). If you’re an SAS programmer whose upgraded from SAS Display Manager (aka BASE SAS) then you now get the benefit of a program editor with autocompletion, built-in syntax highlighting, integrated help, and automatic code formatting. If you are an analyst then you get the power of being able to generate SAS code for your reporting and querying needs via point-and-click tasks within your EG project. In both situations, you generate SAS code (perhaps even a stored process) all working off SAS tables that may have libraries assigned in metadata… and there is that word… metadata.
As I’m sure you know the general definition of metadata is “data about data“. So what is that… it details about the data you are working with. For example, if you have a customer table in your Oracle database then that metadata is about the Oracle library engine (assuming that you are using SAS/Access to Oracle), connection details to the Oracle database, the column attributes (such as name, type, length, formats etc), when the table was created, modified and any security access controls etc. So why is this important…
With the SAS 9 platform, the SAS metadata server and associated metadata repositories are the heart of SAS. The SAS 9 Intelligence Platform Overview document provides a great background to help understand how all the pieces in the SAS platform fit together and the importance of keeping that metadata heart pumping.
Why do SAS Enterprise Guide Users Care about Metadata?
So as an EG user why do I need to know about SAS metadata? The metadata server enables consistent, centralized storage of information about all the resources in your environment. It stores information about many things including users, groups, roles, capabilities, tables, columns, libraries, cubes, stored processes, information maps, DI jobs and much more. This means you can access many of these resources in EG without having to set them up yourself. Your administrator has already done this work for you and made it available in metadata so you can concentrate on your projects.
SAS Enterprise Guide Physical Data These EG projects, whilst using metadata are not commonly stored in metadata: they are often stored as .sas files or .egp files outside of metadata. This limits their availability for things like impact analysis, searching, metadata audit and security. DI Studio jobs are represented in metadata with a great deal of detail.
What is the Value of SAS DI Studio?
DI is a metadata-driven visual design tool where you create jobs and their components as metadata objects (potentially within an integrated change management environment). Ultimately SAS code is generated, although it is more of a by-product of the process. The job metadata is the primary “document” and is stored with enough detail in metadata to allow the additional benefits.
DI jobs are generally used for consolidating and managing enterprise source and target data with process flows that extract, transform, and load (ETL) operational data into data warehouses and data marts. That process can be simple or complex depending on the organization. Some organisations may start out using EG as an ETL tool and later realise that they have difficulty managing everything they need to do such as data validation, history, data cleansing (via handy data quality tools such as DataFlux), metadata reporting, impact analysis, complex scheduling of dependencies, and change management across environments (dev, test, prod).
SAS DI Studio So that’s why I consider the difference between EG and DI primarily relates to “those SAS jobs being SAS metadata objects“… EG is a great tool for consuming SAS metadata to do querying, reporting, and analysis. Whilst EG can be used for basic ETL, when you need enterprise data integration capabilities, DI Studio becomes the better choice. It’s greater use of metadata allows for the management of much more complex ETL processes.
SAS Enterprise Guide is a powerful Microsoft Windows client application that provides a guided mechanism to exploit the power of SAS and publish dynamic results throughout the organization.
SAS Data Integration Studio provides a powerful visual design tool for building, implementing and managing data integration processes regardless of data sources, applications, or platforms. An easy-to-manage, multiple-user environment enables collaboration on large enterprise projects with repeatable processes that are easily shared. The creation and management of data and metadata are improved with extensive impact analysis of potential changes made across all data integration processes. SAS Data Integration Studio enables users to quickly build and edit data integration, to automatically capture and manage standardized metadata from any source, and to easily display, visualize, and understand enterprise metadata and your data integration processes.
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When you want to drive a SAS analytics device running on the main device, or other remote devices as a server application. It provides a modern, easy-to-use interface, used by SAS controllers, business analysts, people who may or may not have programming skills, and statisticians. The SAS Enterprise Guide provides a modern, easy-to-use application to a lot of SAS capabilities. We require additional reading from them at this time of the year. The SAS Enterprise Guide is used by SAS program developers, business analysts, and accountants. It is a Microsoft Windows application that can connect to SAS; you can use it to drive SAS Analytics running on the main platform, UNIX, or other remote devices as a server application. The SAS Enterprise Guide is like a general store for SAS, where you can get some of everything SAS has to offer. The SAS Data Integration Center is used to create and maintain databases and data marts, which are specialized data warehouses that are prepared for effective reporting and analysis. Data experts, such as data managers and IT experts - people who support other people who have to create accounts use SAS Data Integration Studio.
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