SAS Data Integration Developer Certification: Overview and Career Path!
What is SAS Data Integration (SAS DI)?
Data Integration (SAS DI) is an ETL Tool. It provides visual design for the data integration process as well as implementation and management.
Data Integration is the process of combining data from different sources into a unified view that includes ETL mapping and transformation, data cleansing, and other data integration techniques. Data Integration (DI) helps businesses make better decisions, improve customer experience and improve efficiency. DI empowers analytics tools into effective actionable business. DI strengthens the data integration system in an organization or business.
When data is spread across numerous sources, complications arise for small and large businesses. In that case, adopting Data Integration techniques provides impressive data.
If you are interested in a career as a SAS Data Integration Developer, you must have knowledge of SAS Base and SAS Advanced . Learn how to write SAS programs, understand the components of SAS Macros to automate your work, and reduce maintenance time and effort. Also, learn how to process data using SQL language. Then learn how to support data management, data extraction, and data transformation on Data Management technologies.
SAS supports data migration across any platform, database, and file format in data management. A Data Integration Developer is responsible for everything from analysis to design and development in information systems. They study data sources and data models and plan solutions for data integration.
Employers of Data Integration developers include medium and large organizations such as banks, healthcare, marketing, retail, telecommunications, IT industries, insurance organizations, public administrations, etc.
Additionally, managing data analysis systems, documenting technical requirements in the interface, working with analysts and business users to convert specifications into technical designs, data acquisition and integration as per business requirements and remediation as well as optimizing the Data Integration platform.
Apart from SAS, there are some alternative data integration tools like IBM, SAP , Amazon Web Services (AWS), Oracle, Microsoft, Informatica, Alteryx, Data Virtuality, etc.
Why DI (Data Integration) is Important?
Today, large enterprises collect huge amounts of data from various sources, and that data needs to be accessible for analysis to be meaningful. New data enters the company every minute or second, and for this data to be useful, it must always be available for analysis.
Businesses need to use Integrated Data if they want to compete in today's economy. This benefits the company by promoting intersystem collaboration for a complete overview of the business.
Improve decision-making:
Real-time data presented in an accurate format will provide you with skillful procedures as well as make you proactive. This will give you an opportunity and identify potential obstacles before they occur.
Advance customer experience:
Navigate data captures a complete view of customers that impacts sales and ultimately the organization's performance. If you have real-time customer data, your customer experience will increase and you will be able to achieve your goals at the right time so that the customer will respond well.
Reduce complexity:
When employees collect data manually, they need to have accurate information about each location and account to explore the data, and the correct software must be installed before beginning. Then, when the data integration process starts, accurate and real-time data is obtained to improve data handling and reduce potential errors.
Improve Productivity:
Gaining insights on data requires constant movement between multiple systems, reducing productivity. Automatic data integration integrates data from various sources into a single customer view, increasing productivity for the organization.
Forecast the Future:
It becomes easy to synchronize and aggregate data, retrieve data, scrutinize and analyze data in a single platform. When real-time data is accurate and readily available, project managers can keep the information they need up to date and get better results.
This makes it easier to anticipate and predict customer demand. This will help you evaluate your products and services and give you the ability to stay ahead of the competition.
Cloud computing, Python stack, data warehouse, big data, machine learning, and SaaS platforms, etc. in the future. These are ready to make changes in data integration. These technologies have changed the world and are looking for new opportunities for innovation.
SAS Data Integration Techniques
Connectivity and MetaData:
SAS software enables you to connect to data stores, streams, applications, and systems on various platforms, as well as store and write back data. SAS Data Integration Studio is essential for making it possible to integrate shared data from various sources into SAS software. In this, you can manage data in an ERP system, RDBMS system, legacy system, XML format, etc.
Data Cleansing: SAS Data Integration Studio provides you with many transformations and procedures that improve data quality and thus enable you to profile clean, enhance and monitor data to produce consistent, reliable information.
You can also work with on-premise and hybrid deployments using the SAS Data Integration platform. This allows data cleaning features to address data duplication, correction, and entity detection.
Transformation and Extraction:
SAS Data Management creates a platform that includes tools for Data Integration, Data Management, and Data Quality solutions. The main focus of this platform is on data integration and it also includes progressive upgrades. SAS Data Integration Studio enables you to extract, transform, and load data from across the enterprise to create accurate information. It provides an interface that enables designers to process data and define business rules in metadata to identify input and output.
SAS Data Integration simplifies the implementation and maintenance of data integration processes. It has an easy-to-use and wizard-based interface. SAS Data Integration Studio is a reliable tool for responding to and overcoming any data integration challenges, so it solves the problems of speed and processes thereby reducing the cost of data integration.
Migration and synchronization:
?SAS Data Integration enables you to migrate and synchronize data from different data sources, and data migration between operational systems. Data transformations are available for changing, modifying, reformatting, and combining information.
Real-time data quality integration allows data to be cleaned as it is moved or synchronized, and you can easily build a library of reusable business rules.
Data federation:
SAS Data Federation provides flexibility to configure data storage based on specific needs by supporting multiple data sources. It enables you to join data from these virtual data sources for real-time access and analysis. Before creating SAS federated data views, ensure that your trusted user account is available and shared logins are configured and ready for use. This Metadata layer provides insight to business personnel and protects against complexity.
Prerequisites to Learn SAS Data Integration Developer course?
If you want to become a SAS Data Integration Developer as well as a SAS Data Integration Manager, you need to be able to handle data from various sources, have expertise in SAS programming to create queries and analyses, and create reports. Also, data should be distributed using platforms like data warehousing, business intelligence, and data analytics.
Who can learn SAS DI (Data Integration) Developer Certification Course?
There are no Prerequisites for SAS Data Integration Developer Course but database skills will be more advantageous.
Business Intelligence and Analytics professionals can learn SAS DI Developer Training.
Data warehousing and Database Experts professionals can learn the SAS DI Developer Certification course online .
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SAS Data Integration Developer Include Courses
Base SAS Programmer Certification (It is the entry point to learning SAS Programming and Prerequisites for other SAS Certification courses ).
SAS Macro Language 1: Essentials (This course focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with macro code are processed).
SAS SQL (Structured Query Language) 1: Essentials (This course teaches you how to process SAS data using Structured Query Language (SQL).
SAS Data Integration Studio (This course introduces SAS Data Integration Studio and includes topics for registering sources and targets, creating and working with jobs, and working with transformations. This course also provides information about working with Loop transformations, defining new transformations, and working with in-database processing.)
SAS Data Integration Developer certification (Tests the candidate's ability to apply the skills and knowledge necessary for data integration development in the SAS?environment)
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What will you learn in SAS Data Integration Development Certification Course?
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SAS Data Integration Developer Certification Credentials
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Job Profiles for SAS Data Integration Development
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SAS Data Integration Developer salary in India
The field of SAS Data Integration Development offers many career opportunities. A wide range of career options are available within this field.?
SAS Data Integration Developers are in high demand and continue to grow in the future. SAS has a good career in terms of salary increments. If you are new to this field then 4-5 lakhs annual income can be easily earned.
After 3-4 years you can easily expect 12 to 15 lakhs. As you gain experience in big organizations and learn new skills your salary will increase by lakhs.
You can check the Payscale, Glassdoor, AmbititionBox, and recent surveys for the average SAS Data Integration developer Salary in India as well as abroad. A few designations that use this skill include warehousing, Data analytics, SAS ETL, Data Quality solutions, Data Management, Business Analytics, etc.
In India, you can apply to top-paying cities for SAS Data Integration developer jobs in Bengaluru/Bangalore, Chennai, Hyderabad, Pune, Mumbai, etc.
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SAS Data Integration Developer roles and responsibilities
Understand and support the technical design of data warehouse systems and applications.
To be able to perform SSA (Source System Analysis) of Oracle DB, Postgres DB, and MySQL DB to design the process in the data warehouse.
Designing and developing SAS ETL/ELT framework to design end-to-end ETL flow to load data from various sources to target SAS solutions.
Developing further operations in SAS Data Integrations like, Append, Extract, Table Loader, Lookup, Data Validation, SQL, and User write Transformations, etc.
Developing reports in the SAS Visual Analytics solution.
Role-based data security planning and implementation in SAS metadata for business and functional needs.
Understand the client's requirements and prepare reports based on their business needs.
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Conclusion
From business processes to analytics, and anything that directly or indirectly relies on data, data integration is nothing. Data Integration is an important tool for gathering accurate data in your business. One thing is clear – the best Data integration tools are leveraging the latest data engineering trends and attracting a growing technical audience.
It seems that the future of data integration is more market-driven and relies on a renewed open-source community to scale with all the new SaaS platforms and use cases. Don't risk the future of your business! According to SAS's Data Management Survey, 93% agree that their data strategy allows them to innovate existing business processes through improved analytics.
Aspire Techsoft offers you SAS Data Integration Developer Certification Training in Pune . The SAS Data Integration Developer course in Pune India includes topics such as Base SAS , SAS Macro Language, SQL, and SAS Data Integration Studio.
For this, to start your career in SAS Data Integration Development or to upgrade in that field, you must know everything in the field of warehousing, Data analytics, SAS ETL, Data Quality solutions, Data Management, Business Analytics tools, and other companies working on them.
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