Cloud data warehouse and intelligent data catalogs
Posted: Wed Jan 22, 2025 4:07 am
Cloud migration is the order of the day. Discover how to boost your Cloud data warehouse with an intelligent data catalog.
Migration to the Cloud is the order of the day. The business advantages in terms of scalability, flexibility, speed and agility are no longer in question. This is leading more and more companies to move their workloads to the Cloud and prefer to manage their business data and storage in the Cloud.
Research shows that:
56 % of organizations already had a data warehouse in the Cloud Cloud data warehouse
48 % had a data lake there
45 % used it for machine learning .
Data-driven, cloud-enabled digital transformation
Another study found that:
More than 80% believe that data integration is essential for engineer database business operations
65% prefer to implement it in the Cloud or hybrid cloud.
As you can see, more and more organizations are looking to modernize their cloud data warehouses and data lakes to better integrate new data from on - premises and cloud applications and be able to build AI-based analytics systems and technologies . This modernization makes more data available and also enables self-service , so users can find the information they need more quickly.
You may be interested in reading:
New businesses and the cloud, the perfect symbiosis to gain market share
Smart Data Catalog
On the other hand, to streamline cloud usage today, many companies are turning to intelligent data catalogs. Why? Because they need tools to manage and understand their data priorities – since data and workloads are typically distributed in part across multiple cloud environments, as well as in their local data centers.
But let’s go step by step: what is a data catalog ? It can be defined as a detailed inventory of all data assets in an organization and their metadata , designed to help users and professionals (analysts, data managers and data scientists, business analysts, etc.) quickly find the most appropriate data for any analytical business purpose.
The concept of catalogs may be simple, but when they are used to make sense of large amounts of ever-changing data , intelligent capabilities make all the difference. And how should a data catalog be intelligent? It needs to be intelligent at the design and inventory level and adapt to different profiles and users . Its search engine needs to support different expectations and offer intelligent suggestions. And it needs to offer intelligent metadata management (applying tags and recognizing data patterns).
Migration to the Cloud is the order of the day. The business advantages in terms of scalability, flexibility, speed and agility are no longer in question. This is leading more and more companies to move their workloads to the Cloud and prefer to manage their business data and storage in the Cloud.
Research shows that:
56 % of organizations already had a data warehouse in the Cloud Cloud data warehouse
48 % had a data lake there
45 % used it for machine learning .
Data-driven, cloud-enabled digital transformation
Another study found that:
More than 80% believe that data integration is essential for engineer database business operations
65% prefer to implement it in the Cloud or hybrid cloud.
As you can see, more and more organizations are looking to modernize their cloud data warehouses and data lakes to better integrate new data from on - premises and cloud applications and be able to build AI-based analytics systems and technologies . This modernization makes more data available and also enables self-service , so users can find the information they need more quickly.
You may be interested in reading:
New businesses and the cloud, the perfect symbiosis to gain market share
Smart Data Catalog
On the other hand, to streamline cloud usage today, many companies are turning to intelligent data catalogs. Why? Because they need tools to manage and understand their data priorities – since data and workloads are typically distributed in part across multiple cloud environments, as well as in their local data centers.
But let’s go step by step: what is a data catalog ? It can be defined as a detailed inventory of all data assets in an organization and their metadata , designed to help users and professionals (analysts, data managers and data scientists, business analysts, etc.) quickly find the most appropriate data for any analytical business purpose.
The concept of catalogs may be simple, but when they are used to make sense of large amounts of ever-changing data , intelligent capabilities make all the difference. And how should a data catalog be intelligent? It needs to be intelligent at the design and inventory level and adapt to different profiles and users . Its search engine needs to support different expectations and offer intelligent suggestions. And it needs to offer intelligent metadata management (applying tags and recognizing data patterns).