Intelligent Data Cataloging for Cloud Data Warehouses, Data Lakes, and Lakehouses

Posted by michaelborges on September 14th, 2022

Considering the level of efficiency and convenience the cloud brings with it, it is no surprise that organizations today are rapidly shifting their data and analytics to the cloud. Although by moving applications to the cloud, companies can scale on capabilities and reduce or eliminate costs of all aspects of data analytics, it is also very important for data warehousing and data lakes.


Enterprise data analytics have relied on traditional enterprise data warehouses and reporting systems for years now and it’s high time that companies are making efforts to make a shift to the cloud to obtain dramatic performance gains and competitive advantage.


Simultaneously, enterprises are implementing cloud data lakes to complement their cloud data warehouses and are also developing cloud lake houses, which bring together the best out of data warehouses and data lakes to deliver analytical capabilities for everything from business intelligence dashboards to advanced AI and machine learning initiatives.


Like every other aspect of technological advancements, this shift to the cloud also brings with it certain challenges that must be addressed. Although shifting to a cloud data warehouse, data lake or lake houses may seem pretty simple, a systematic and efficient strategic plan is required to pave your path of achieving maximum returns on your investments. Irrespective of whether you are shifting from an enterprise warehouse, data lake, or lakehouse to a cloud or just improving and updating your data and workloads in the cloud over time, you need to have a clear idea of your current data landscape in either of the cases. You need to ensure that you have all the tools needed to manage your data in the cloud in place and you abide by the recommended best practices.


The Informatica® Intelligent Cloud Lakehouse Data Management Solution for Cloud Analytics addresses all of these challenges in the most efficient way. It is based on industry-leading data integration, quality and governance, and metadata management technologies. With machine learning-based data asset identification and end-to-end visibility, Informatica Enterprise Data Catalog delivers the metadata management foundation you need to assess your current data landscape. Informatica Intelligent Cloud ServicesSM (IICS) offers the best-in-class enterprise iPaaS services for cloud data integration, cloud mass ingestion, and cloud data quality.


Having machine learning capabilities in complete control of complete metadata management, the Informatica Enterprise Data Catalog delivers a standard enterprise metadata foundation for intelligent, automated, end-to-end visibility and lineage throughout your environment. The solution allows you to connect on-premises data repositories to your current cloud ecosystem so that your users are abstracted from the complexity of the process and you get the most out of your data.

 

READ MORE AT : https://www.partnerbo.co/intelligent-data-cataloging-for-cloud-data-warehouses-data-lakes-and-lakehouses

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michaelborges

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michaelborges
Joined: September 12th, 2022
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