4 ways in which you can optimize your Enterprise Data Warehouse

Different data warehousing systems have different structures. In general, all enterprise data warehouse architecture have the following layers:
  • Data Source Layer
  • Data Extraction Layer
  • Data Logic Layer
  • Metadata Layer
  • ETL Layer
  • Data Storage Layer
4 ways in which you can optimize your Enterprise Data Warehouse
Enterprises are looking for ways in which they can effectively optimize their enterprise data warehouse to augment the use of EDW resources. We have mentioned a few key pointers below that you can keep in mind while optimizing your enterprise data warehouse.

  1. Enterprises are not able to implement data quality processing in many traditional data warehouse environments. Some organizations use the EDW offloading process to remove garbage-in, garbage-out analytics and reporting by implementing scalable and comprehensive data quality processing. You need to put high-quality data into the Hadoop infrastructure, so that the resulting analytics are of great value.
  2. You can enhance business-user and IT collaboration by eliminating unmanageable data lakes with data governance. With data governance, you can establish clearly defined business requirements across your enterprise for data used in business analytics or reporting. True data governance allows users to see the history from source report by supporting data lineage reporting. You can learn the origins of transformations performed against the data, underlying data elements and when the data was refreshed in the Hadoop infrastructure.

Comments

Post a Comment

Popular posts from this blog

Artificial Intelligence Predictions for Every Business to know in 2019

Image
Artificial Intelligence abbreviated as AI is the self-performance of machines and computers without any human interference which means it is the ability of machine’s intelligence to manage tasks on their own. What is the Future of Artificial Intelligence ? It is presently blooming in all areas of the global market, be it medicines, education or technology machines are replacing human workforce everywhere. But still, it is said to be in the infant stage as some states it will replace humans completely in coming years while others are yet not fully aware of the concept. The answer to this still lies between these two predictions. There are assumptions for Artificial Intelligence that You Must Know to Make 2019 big for Your Business. Let us have a look into how will the year be for Artificial Intelligence: Many Businesses use chatbots for faster services, replacing human resources, but 2019 will introduce “ Virtual Agents ” a real big thing for machine learning as now custo
Read more

AWS: Organizational Cloud Adoption Framework overview

Image
What is Cloud adoption? The AWS Organizational Cloud  Adoption Framework  helps organizations travel and design an accelerated growth path. The best practices provided by this framework will help your organization build a thorough approach to cloud computing. Adopting AWS presents benefits such as reduced costs, increased business agility and risk-free environment for organizations. A single AWS CAF perspective comprises of a lot of capabilities, which is a composite of obligations usually possessed or overseen by at least one related partner. Every skill portrays “what” a partner claims or supervises in the reception venture. The capabilities are a standard, utilized inside the CAF. Similarly, Business, People and Governance perspectives revolve around business abilities, platform and security and operations aspects. A short portrayal of each AWS CAF perspective is given here: Business Perspective: Partners see how to refresh the staff abilities and authoritative proc
Read more

Big Data Trends and Predictions to look out for in 2019

Over the years, big data trends have changed. Without a doubt, 2018 was a huge leap for big data. New tools and technologies have emerged, companies have merged, and startups have taken off. The advancement in this technology is allowing the emergence of new trends. Organizations must implement the right trends to stay ahead of their competitors. With that in mind, we’ve separated some big data trends and predictions which are expected to be seen in 2019. Top Big Data Trends and Predictions for 2019 AI-driven data infrastructure 2018 can basically be called the first year of artificial intelligence. Most companies laid out the manpower, tools and infrastructure of machine learning and deep learning technology, and some industry solutions gradually came forth. From the perspective of this year, in big data platform and tool market, more and more AI solution tools are being built which gradually evolved from AI modeling and AI algorithm framework tools to data development, pr
Read more