Can I Successfully Conquer DWH and ETL and Make My Data Accessible?
If your business is like most, you have a lot of different data repositories and your data is buried in best-of-breed, legacy systems, data warehouses, the cloud and many other data storage areas. Sometimes it seems like all these data sources are inaccessible and that your data is hiding from even your most gifted analysts and IT staff.
To tame those diverse and disparate data sources and integrate data into a central data mart or data warehouse can seem like a daunting task but with the right experience and skill, your enterprise can organize, manage, monitor and analyze internal and external data from all corners of the organization. When you set out to organize your data and make it more accessible, you need to consider many factors. These factors include the objectives of the organization and its users, the audience you want to target, and their expectations and skills, the industry standards and compliance issues you face for data security and privacy, your compatibility issues, IT infrastructure requirements and technical issues like platforms, technology feasibility, data retention, aggregation, volumes, velocity and gravity.
But, what if all this is alien to you? If you are anything like a lot of other business people, it probably IS alien and you have no idea where to start. That’s where expert ETL and Data Warehousing Services come in.
Getting the right advice and expert services can help you define your requirements, develop use cases and a design philosophy and ensure that the framework and platform is suitable for your requirements. An expert can design the key elements and controls, the interface design for users and the data extraction, transformation and loading (ETL) process and implementation, and will help out to upgrade and migrate services with testing, quality and scalability and performance initiatives to ensure that the output is stable and dependable.
You’ll want an IT partner that has experience with tools like Talend and Microsoft SSIS and in-memory data processing engines like Spark, Big Data and Columnar Data Stores and that consultant will need skills in star schema, snowflake and tabular data models.
If you need dependable, cost-effective ETL and DWH services, go with the pros: Data Warehousing and ETL