While one can use a data catalog to make it easier to establish and find authentic data, not all directories are equal. In fact, cataloging provides a data inventory that businesses use to gather trusted data. Beyond that, it helps enterprises achieve unprecedented insights into the behavior of the data users. There are so many compelling reasons for businesses to use data catalogs. However, below are five things you need to know before purchasing data catalogs.This post gives a fair indication that what is a data catalog:
Digital enterprises are challenged to keep overwhelming volumes of data sources. You could be getting your data from a data lake or data warehouse. Enterprises Data Catalog can use data catalogs to harmonize all their data sources and establish a central source of reference for all the data sets. Of course, you want to create a centralized database where you can access all your data sets. As such, your catalog should be compatible with business intelligence tools in your enterprise. Look for a directory that can support native connectors so that you don’t get stuck integrating and validating it. Native integration means that an enterprise won’t need additional tools to set up and maintain its data catalogs. It is easier to eliminate the extra integration costs when support comes from a single catalog vendor.
Giving a catalog user tools that require little or no technical training helps improve self-service analytics. An excellent catalog allows users to write queries and make suggestions. That helps guide users to the popular columns and the best joins and filters. In fact, a digital catalog allows data analysts to save queries for use by untrained users. That helps the entire organization to scale up its data discovery.
An enterprise will need data usage statistics to get actionable insights from its datasets. You could also need filters that harness the power of curating data sets. As with consumer catalogs, an enterprise can crowdsource much of this information. You want data catalogs that allow end users to learn from the gathered data sets. Remember end users want to be sure that the data they are using is trustworthy. A well-organized catalog helps an enterprise to improve the quality of its data and earn more trust from end users. Data curation makes it easier for a business to retrieve and discover its data. It also helps users derive insights and maintain the quality of data. Choose data catalogs that can be reused across a broad spectrum of data sets in an Enterprise Data Catalog.
Search and Discovery
The primary function of data catalogs is to help users derive insights from sourced data. Inventories become valuable when they enable everyone in the organization to access information that they need. Never create a directory as an add-on to the existing data governance solution. Inventories often don’t benefit end users when they are in this format. Instead, an enterprise can limit data discovery to users responsible for data governance and not users that are conducting analytics. Look for a catalog that that doesn’t only support insight governance but also compliance.
Query Log Analysis
Data catalogs help track the behavior and parse a usage log of people accessing critical data sets. A digital catalog should make it easier to identify the user who queried a data set. As such, always choose data catalogs that provide behavior metrics such as the most popular queries, columns, tables, schemas, and filters. Advanced data catalogs use the technical metadata along with machine usage pattern to provide more clarity. Moreover, make sure that a directory can trace the lineage of the data sources. That allows an enterprise to follow all steps needed in data analysis. A catalog that adds a lineage helps increase the accuracy and speed of data analysis. The ability to find the volume of data required is no longer the problem. Instead, today’s enterprises are struggling to find the right data and use it effectively. This was the effective information that shows what is a data catalog.
by: Dennis HungD