For customers who’re simply getting began with SAS options, it may be overwhelming to learn to take the info you might have collected and switch it into one thing readable and helpful. Fortunately, SAS Data Management exists to assist customers with these sorts of information administration issues. In this complete review of SAS Data Management, we cowl key capabilities the answer gives to remodel knowledge into visually interesting, easy-to-understand studies or insights.
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What is SAS Data Management?
SAS Data Management is an information administration and integration resolution that permits customers to handle enterprise processes with ETL (extract, remodel load), entry administration, debugging, audit trails and metadata. The resolution offers entry to knowledge saved in numerous places, together with the cloud, knowledge lakes, legacy programs and different enterprise purposes.
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SAS Data Management incorporates numerous knowledge administration options, together with knowledge high quality, integration and entry, preparation, governance, and occasion stream processing choices. With this complete portfolio, customers can select essentially the most applicable services or products for his or her wants and price range.
What are the highest options?
SAS Data Management is a complete knowledge administration suite for companies. The resolution features a vary of options that make it simple to retailer, handle and entry knowledge in any format or location. These are a few of the high options:
Centralized improvement surroundings
The centralized improvement surroundings permits customers to create new initiatives and import current initiatives utilizing a single built-in interface. In addition, it simplifies the creation of information processing workflows by offering an intuitive graphical interface with drag-and-drop performance. The drag-and-drop capabilities let non-technical customers design customized packages for manipulating, analyzing, managing and reporting on knowledge.
This instrument could be built-in with different instruments equivalent to SAS Visual Analytics, permitting builders to provide studies and dashboards simply. During improvement, customers can entry logs and debug jobs interactively. Audit historical past and check-in/check-out permit designers to see which jobs or tables had been modified when and by whom.
Integrated course of designer
Users can create and alter knowledge administration workflows with a visible, end-to-end course of designer. It offers flexibility to configure user-defined processes with computerized parameterization, error dealing with, and extra options like transformation parameters between steps or parallelization throughout completely different compute nodes. In addition, the method designer controls the execution of information integration, SAS-stored processes and knowledge high quality jobs.
ETL and extract, load and remodel (ELT)
Data administration is an important part of any large knowledge mission. ETL is a course of by which knowledge flows via a company and is remodeled to make it extra accessible. ELT usually extracts knowledge from a warehouse database and masses it into Hadoop for additional processing.
SAS Data Management ETL and ELT options enhance teamwork and reusability with prebuilt SQL-based transformations for constructing tables and becoming a member of, inserting, deleting and updating knowledge. ETL will also be used to vary the info’s construction and carry out advanced calculations like time collection forecasting and textual content mining. These two strategies collectively may also help you retailer extra knowledge with out shedding helpful info.
Data governance and metadata administration
Administrators can use SAS Data Management to determine and classify knowledge and metadata via a course of known as knowledge discovery. You can even run studies on knowledge lineage or the historical past and historic use of information.
The dashboard lets you monitor these processes in actual time. Features like entry management mean you can set up permissions for various customers, both utilizing the prevailing roles or creating new ones. Using SAS Data Management, enterprise customers can independently handle knowledge, fine-tune processes and analyze outcomes.
Data federation
With knowledge federation, knowledge could be accessed via a single question or dashboard, even when it’s saved throughout a number of databases, servers or cloud-based storage programs. As a consequence, customers don’t have to fret about connecting to particular person databases for each question or pulling info collectively from completely different purposes.
The administration module offers digital entry to database buildings, enterprise purposes, mainframe legacy information, textual content XML message queues and different sources. It additionally gives consumer analytics, which permits customers to see how the info is being utilized in actual time and higher perceive their wants.
Message queuing
This message queuing service is asynchronous, which signifies that sending and receiving purposes don’t have to be on-line concurrently. This is usually a main profit for companies that must replace their knowledge or software program however should wait on one other celebration earlier than they will begin their updates.
SAS metadata bridge for large knowledge
The metadata bridge is a instrument that creates a bridge between imports-and-exports metadata and third-party purposes for simpler entry to knowledge from Hadoop and different sources. This characteristic could be particularly useful for organizations that use SAS as their major analytical platform however should import knowledge from different databases and packages.
Enhanced administration and monitoring
This characteristic offers directors with higher visibility into system utilization, configuration settings, and useful resource utilization, which permits them to handle capability extra successfully and forestall efficiency issues. It additionally gives reporting capabilities that present enterprise intelligence functionalities. These allow decision-makers to grasp the standing of their firm’s IT surroundings at any given time.
Integration of SAS knowledge loader for Hadoop
The SAS knowledge loader integration for Hadoop makes processing large knowledge simpler and quicker. Administrators can monitor the place all jobs are operating, which jobs want consideration and the way lengthy duties take to finish. When migrating or syncing datasets, directors can resolve whether or not they wish to overwrite or append current knowledge.
Migration and synchronization
The migration module lets you transfer knowledge from one location or format to a different. And the sync module helps you to synchronize two or extra datasets residing in numerous places or codecs, to allow them to be used collectively as a single set.
Benefits of working with SAS Data Management
SAS Data Management was created by SAS Institute and is an built-in set of enterprise intelligence instruments that may assist companies cut back prices, enhance efficiency and maximize the return on funding (ROI) of their analytical investments.
A good thing about working with SAS Data Management is that the answer gives enterprise-wide knowledge governance, high quality and safety. This may also help an organization determine the place its dangers are and mitigate these dangers. They additionally provide a full suite of analytics merchandise for each large knowledge analytics and extra conventional enterprise intelligence wants.
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The easy-to-use interface makes it easy to discover datasets, handle initiatives, automate workflows, publish insights and studies, and use collaborative software program purposes to spice up crew productiveness. The usability of this instrument signifies that it may be an excellent resolution for extra junior knowledge groups and firms that want to democratize knowledge evaluation of their organizations.
SAS Data Management options
While SAS is likely one of the hottest knowledge administration instruments, there are different choices your organization could wish to take into account, relying on their wants and budgetary necessities:
Hevo
Hevo is an end-to-end, bidirectional knowledge pipeline platform designed for contemporary ETL, ELT and reverse ETL wants. Hevo’s fashionable structure leverages the cloud to supply a unified surroundings with excessive availability. In addition, the answer contains built-in visualization instruments that assist customers monitor their workload and achieve insights into how their jobs run to optimize their efficiency.
Informatica PowerCenter
Informatica PowerCenter is an information integration resolution that allows knowledge connections from any system or software. It can extract, remodel and switch knowledge between programs. Other key options embody automated knowledge validation testing, enterprise and IT collaboration, operations and governance oversight, real-time knowledge for purposes, and analytics and superior knowledge transformation capabilities.
IBM InfoSphere Information Server
IBM InfoSphere Information Server is an information integration and knowledge high quality instrument that manages knowledge from disparate sources and offers analytics on the data. This instrument is beneficial for understanding, cleaning, monitoring and reworking knowledge to make it accessible for brand new functions or in numerous codecs.
It can carry collectively a number of knowledge sorts with completely different codecs and ranges of element, together with structured and unstructured enterprise data. Analysts can even use it to watch efficiency metrics throughout all enterprise processes.