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Top 5 things you need to look for in an Enterprise data catalog

The common type of data-enabled business starts with the hypothesis over the business drivers & relationships within a particular data. Generally, the well-tenured business data analyst can pull together real data that they know about and have access to in the department as well as proceed to create their own analysis.

What’s Enterprise Data Catalog?

The Data Catalog is nothing but the inventory of various data assets. It is the corporate resource and where the data is found and repository of the Metadata about the data stores and complete with right locators to find data and information on who is liable for it, or who has an access to this. It isn’t any Data Dictionary and not the field-level technical Repository. It is the catalog of data assets at a container stage.

How can you build a company’s catalog?

A data catalog building procedure will be separated into 3 parts:

Indexing: Data catalog indexes real metadata of the organizations’ tables, files, or databases.

Organizing: By adding descriptions of the files and tables that will make the data highly understandable for the consumers

Tracking: The data catalogs are used for tracking the organization’s data assets. Certain methods include graph analytics algorithms, checking origins of data as well as the destination, and summaries that include various statistics.

What is a Need for the Enterprise Data Catalog?

You will mainly have to focus on the legal and the regulatory drivers to know “where the data is and legal jurisdiction it is governed by, or how it can be classified. That company must prove that they understand everything about it:

  • Legal constraints on data
  • Data Location
  • The person responsible, on your business side & technology side
  • Data taxonomy
  • What policies exist & policies applied rightly with the disposal and archiving
  • Suppose data is the golden source, copy, or approved distributor
  • Who has an access to this and when
  • Where data gets used and lineage

Sadly, as in any kind of market, there are many different options that do not imply value or clarity for the customers. On a contrary, most of these data cataloging solutions will be limited all along the dimensions:

  1. Use cases: Restricted to just one case, such as data governance and self-service data analytics, thus unable to support data-driven priorities.
  2. Data Coverage: It is limited to the specific systems and platforms, thus not able to provide a right and complete view of the enterprise data landscape.
  3. Lineage: Its limited capability to trace the data lineage over systems, cloud as well as on-premises, and extract lineage from the code (stored methods, ETL) or complex apps.
  4. Metadata: It is limited to capturing the basic technical metadata, thus unable to offer rich context that will be extracted from different kinds of the metadata like operational, business, as well as usage metadata.
  5. Scalability: Not able to address the true enterprise-class needs for cataloging and scanning millions of data assets.

Why is data catalog so important?

Most of the modern BI tools, hosting platforms as well as data discovery apps include certain kinds of data cataloging ability, which offer some basic visibility in their environments. However, hardly are your data assets managed and stored in one single environment and repository.

The centralized data catalog will offer the right way where you can break down the data silos as well as offer the best system of record for any data over various enterprises. The data catalogs will offer the layer of governance over the top of different data sources that will improve the security and compliance with different privacy mandates that are set by the authorities that you need to know about.

Governed catalogs, which combine simple access to the trusted data with compliance will drive confidence and widespread adoption within the enterprise without any fear of the repercussions. Thus, if you’re searching for the true enterprise catalog for cataloging your data as well as offer the right metadata foundation for your business priorities, your choice of the limited catalog will set you back in lost efficiencies, time, and output across various industries.

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