Data Catalog Best Practices

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Guide to Data Catalog Tools and Architecture

1 hours ago Xenonstack.com Show details

372.939.939Ten Recommendations for Building Great Data Catalogs

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What is a Data Catalog? How to build it, Best practices

5 hours ago Research.aimultiple.com Show details

A data catalog is a record of an organization’s existing data. It is a library where an organizations’ data is indexed, organized and stored. Most data catalogs contain data sources, data usage information, and data lineage that describes the origin of the data and how it changed to its final form. With a data catalog, organizations can

Estimated Reading Time: 5 mins

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The 20 Best Data Catalog Tools and Software for 2021

5 hours ago Solutionsreview.com Show details

Solutions Review’s listing of the best data catalog tools and software is an annual sneak peek of the top tools included in our Buyer’s Guide for Metadata Management and Data Cataloging Tool s. Information was gathered via online materials and reports, conversations with vendor representatives, and examinations of product demonstrations and free trials.

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7 Best Practices to Drive Data Catalog Adoption …

8 hours ago Informatica.com Show details

In “7 Best Practices to Drive Data Catalog Adoption” you’ll find essential best practices, checklists and prompts to help you maximize usage across your organization. Based on road-tested best practices developed with our customers, this step-by-step workbook will help you: Formulate a program strategy. Define a pilot project.

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Catalog and search Storage Best Practices for Data and

7 hours ago Docs.aws.amazon.com Show details

Data Catalog is a database that stores metadata in tables consisting of data schema, data location, and runtime metrics. Data Catalog is also Apache Hive metastore compatible that can be used as a central repository for storing structural and operational metadata.

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Ten Recommendations for Building Great Data Catalogs

1 hours ago Dataversity.net Show details

Estimated Reading Time: 5 mins
1. Catalog all your data. Think your relational databases and data warehouses have all your data? Think again! Data is everywhere, in text files, spreadsheets and more.
2. When it comes to data flows, expect the unexpected. Data lineage and provenance tools are good, as far as they go. But most of them map out the flow of data within a known domain or set of domains.
3. Make sensitive data paramount. A major mission of a data catalog is to help identify the location of sensitive data, wherever it lies. And if the same sensitive data is found in multiple places, that can help you identify redundant data, too.
4. Include “unstructured” data, too. All data has structure – though, for some data, the structure is in the eye of the beholder. Your data catalog can help make implicit data structures explicit, by prescribing the structure, in context for your team or organization.
5. Use good names; use even better descriptions. As good as a name might be, a verbose description will make your data more discoverable by more team members.
6. Remember, data lake “tables” are different. Unlike relational databases, where data may be spread across multiple tables, data lakes tendto crowd lots of data into individual files.
7. Be judicious in your ratings. Crowd-sourced star ratings, endorsements and deprecations in your data catalog can help users get to relevant, reliable data, faster.
8. Make it a lake, not a swamp. Cataloging everything in your data lake enables you to organize it and make it useable. Once your lake is cataloged, you can establish zones within it, and make it a go-to place for business users to getdata, not just a place for them to dump it.
9. Data validation, rules. Plain-English descriptions in a data catalog are important and help record and disseminate so-called tribal knowledge from business users.
10. Leverage Machine Learning. Today’s data volumes make it impossible to catalog everything manually. You’ll simply never finish, or even keep pace, as new data arrives.

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Data Catalog Resource Best Practices & Expert Tips

7 hours ago Data.world Show details

Resources on data catalogs with best practices, articles, and evaluation tips from industry experts. Build a data-driven culture with a modern data catalog.

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Free Download: What are a data catalog's use cases?

1 hours ago Info.zeenea.com Show details

Based on various client interviews, we’ve identified six main usages for a data catalog: ️ Searching for datasets. ️Understanding a dataset. ️Trust in datasets. ️ Organize metadata. ️Discover data. ️Collaborate around data.

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Cataloging Data A capability maturity model for data …

7 hours ago Www2.deloitte.com Show details

It is too early to talk about best practices for data catalogs. Leading technology companies and financial institutions are still in the process of introducing or further developing their data catalogs. Nevertheless, based on our initial experience, we can give the following recommendations that should be

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Building a Data Catalog: A Guide to Planning & …

Just Now Insidebigdata.com Show details

One of the keys to data catalogs is the element of collaboration.. This guide walks you through the following steps in building and implementing a data catalog: Choose a pilot project: Data.world cautions to avoid the urge to immediately onboard your entire organization. “Instead, begin with a clear, well-defined analytics pilot project,” the report states.

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20 Criteria You Should Use To Choose A Data Catalog

8 hours ago Topbots.com Show details

Data catalog stakeholders span a continuum from business and data analysts to C-level executives, and catalog impacts range from day-to-day tactical activities to long-term strategic position. Choosing a catalog that meets all of the needs, addresses all of the interests, and fits your environment and culture is a big job.

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Data catalog best practices rely on teamwork, governance

5 hours ago Searchdatamanagement.techtarget.com Show details

Data catalogs help data scientists, business analysts and other end users identify data for use in analytics applications. This online handbook offers guidance on data catalog best practices, along with information about data catalog software and cataloging trends.

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What is a Data Catalog? 5 Features of a Modern Data Catalog

3 hours ago Immuta.com Show details

A data catalog is an organized inventory of data assets that enables data consumers to locate, access and evaluate data in a centralized location for analytical and business uses. Data catalogs leverage metadata to allow data consumers to quickly search an organization’s entire data landscape, understand the data available to them and

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Guide to Data Catalog Tools and Architecture

8 hours ago Xenonstack.com Show details

The best practices for Data catalog are listed below: Assigning Ownership for the data set - Ownership of each data set must be defined. There must be a person to whom the user contacts in case of an issue. A good Catalog also …

Estimated Reading Time: 5 mins

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How to use a data catalog to get more value from your data

Just Now Blogs.sas.com Show details

Keep an eye out for emerging technologies that will help as you design and populate the information for data catalogs. These will help overcome the impediments to effective uses of enterprise data stored in a data lake. Download a …

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Portals to Enterprise Data Knowledge 6 Data Catalog

Just Now Pages.barc.de Show details

BARC will briefly explain the scenario and introduce the data catalog products on the list. The vendors will be asked to give a demonstration and answer questions from the audience in a Q&A session. BARC will present best practices for software selection and gives insights into how to evaluate data catalogs (e.g., using a criteria catalog).

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Enterprise Data Catalog 10.4.0

2 hours ago Docs.informatica.com Show details

The Enterprise Data Catalog Tableau Extension enables you to quickly access contextual business data and technical metadata about Tableau assets and data sources. This guide covers information about using the Enterprise Data Catalog Tableau Extension within Tableau. This article provides best practices for migrating, configuring, and using

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Approach and process for adopting Azure Data Catalog

6 hours ago Docs.microsoft.com Show details

Define your Data Catalog project vision. The first step to define an Azure Data Catalog adoption plan is to write an aspirational description of what you are trying to accomplish. It's best to keep the vision statement fairly broad, yet concise enough to define specific short-term, and long-term goals.

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Data Catalog: data discovery Google Cloud

8 hours ago Cloud.google.com Show details

Data Catalog. A fully managed and highly scalable data discovery and metadata management service. New customers get $300 in free credits to spend on Google Cloud during the Free Trial. All customers get up to 1 MiB of business or ingested metadata storage and 1 million API calls, free of charge. Try Google Cloud free.

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Designing a modern data catalog at Microsoft to enable

6 hours ago Microsoft.com Show details

In this digital age, data is a strategic asset, and creating a modern data catalog is key to finding and connecting siloed enterprise data, which enables people to ask important questions and gain business insights. Microsoft used feedback from end users to develop an intuitive data catalog that incorporates discoverability, traceability, and access management.

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Building a data catalog for machine learning

5 hours ago Valohai.com Show details

12.29.235

1. The essence of any tracking solution is that it should be automatic. If you’re going to require your data scientists to track their data and experiments in a spreadsheet, you might as well give up. Valohai automatically tracks every data asset you use in training a model. Imagine a pipeline that takes in data from a Spark cluster, augments that with data from an S3 bucket of flat files, normalizes these, trains a hundred models, selects the best one and deploys the model. Valohai shows you a tree representation of the data from the end-result all the way through every step into the original data and you can dive into any intermediary data asset and check them out. Valohai also stores the sha and md5 hashes of the data so you’ll know if the data under the hood has changed.

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What is a Data Catalog, and Do You Need One? Talend

4 hours ago Talend.com Show details

What is a data catalog? Gartner describes the data catalog in another report: “A data catalog maintains an inventory of data assets through the discovery, description, and organization of datasets. The catalog provides context to enable data analysts, data scientists, data stewards, and other data consumers to find and understand a relevant

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20 Data Management Best Practices: Strategies That Work

8 hours ago Intellspot.com Show details

1. Define your data strategy and goals. It is not about a data strategy. It is about a clear and achievable data strategy for your business. A good data strategy requires a deep understanding of your data needs.
2. Start small and think of the big picture. DG involves people, processes, and technology solutions. It is a best practice to start with the people and culture, and then gradually move on to the data governance, stewardship processes, and technology.
3. Set the right metrics. Do not measure everything. Setting the right metrics and focusing on those of them that matter is a whole other science! Metrics are the core of measuring any progress.
4. Build effective communication. It is a must. Do not make data governance full of bureaucracy and never look at communication as something that’s not a real work.
5. Data Steward should be a part of the business, not only of the IT. You need to clearly realize that data steward is a business role. Many organizations view data stewardship as an information technology (IT) field.
6. Stewards must have clear and specific goals for data quality progress. Not having well-defined and SMART goals will lead to lack of understanding and less focus.
7. Stewards should be visible, influential, and accountable. It is not only important for data stewards responsibilities to be well-defined before they start doing their job.
8. Provide the right culture of stewardship. Even if you have the best stewards with clear goals and well-defined responsibilities, your stewardship can be an absolute fail.
9. Regular data assessment and constant monitoring and reporting. In order to determine a problem from its beginning (before turning into a big issue), companies need to lead regular assessments of their information and periodically checking up on it to ensure data accuracy.
10. Establish data quality metrics and a measurement scale. How to track your quality of data? With metrics and a measurement scale, of course. In order to assess your business’s ability to improve the quality of data, you need the right metrics.

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Best Practices for Deployment and Cataloging

Just Now Doc.catalogicsoftware.com Show details

This Best Practices Guide is intended primarily for administrators of ECX 2.0 specifically with respect to VMware and NetApp Catalog Data policies. Concepts and Terms ECX stores data in two volumes described herein as the Configuration volume and the Catalog volume. The data stored by ECX can be characterized as high-level and low-level objects.

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Best Practices for Cataloging Objects Using RDA and MARC 21

Just Now Olacinc.org Show details

9 Acknowledgements Objects Best Practices Task Force Members Julie Renee Moore (Chair), California State University, Fresno Robert B. Freeborn (Co-Chair), Penn State University Libraries Scott Dutkiewicz, Clemson University Sarah Hovde, Folger Shakespeare Library Jessica Janecki, David M. Rubenstein Rare Book and Manuscript Library, Duke University

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Guidance for Cataloging DOI Museum Collections

3 hours ago Doi.gov Show details

This guidance presents supplemental information and best practices for cataloging DOI museum collections in accordance with Directive 20. It includes explanatory information, clarification of certain cataloging requirements, and recommendations for optional catalog data. You should include such optional data whenever possible.

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Challenges and Advice on Data Catalog Implementation

6 hours ago Dataedo.com Show details

4. Lack of knowledge on best practices to implement a data catalog. Usually, the teams neglect the point of following the correct process to implement a data catalog to end up into a messy looking result after investing a huge amount of time and money. As data cataloging is not a day to day activity, it must be planned very well before

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Cataloging & Metadata Standards Minitex

6 hours ago Minitex.umn.edu Show details

Best Practices & Cataloging Guides Catalogers use a variety of guides and services to enable them to work more efficiently. View examples here. Linked Data Linked Data is a set of best practices for publishing and connecting structured data on the web. Learn more about communities, datasets, and current implementations and find introductory

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What is Data Catalog? Data Catalog Documentation

Just Now Cloud.google.com Show details

Data Catalog indexes the metadata that describes an asset. Data Catalog controls some metadata such as user-generated tags, but for all metadata sourced from the underlying storage system, Data Catalog is a read-only service that reflects the metadata and permissions provided by the underlying storage system.

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Data Catalog Pricing Microsoft Azure

3 hours ago Azure.microsoft.com Show details

The Azure Data Catalog Free Edition is intended to provide an end-to-end experience of using the Azure Data Catalog service. It allows any user to register, enrich, understand, discover, and consume data from sources registered with the Data Catalog. Any asset registered is visible to every authenticated user in the tenant.

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New Practices in Data Cataloging Transforming Data with

8 hours ago Tdwi.org Show details

New Practices in Data Cataloging. Webinar Speaker: Philip Russom, Senior Research Director for Data Management Date: Tuesday, September 25, 2018 Time: 9:00 a.m. PT, 12:00 p.m. ET. Webinar Abstract. Find relevant data quickly and accurately to accelerate and enhance your productivity with analytics and other data-driven business practices.

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Tableau Catalog

8 hours ago Tableau.com Show details

A complete view of your data. Tableau Catalog automatically ingests all of the data assets in your Tableau environment into one central list. No need to set up an index schedule or configure connectivity. Quickly see all your tables, files, and databases in one place. See External Assets in an interactive demo.

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Data Management Best Practices Evaluation Checklist

2 hours ago Library.ucsb.edu Show details

Best practices enable the proper organization, documentation, and preservation of data files that will result in more easily discoverable and reusable data, addressing funding agency requirements for transparency and reproducibility of research methods. File Formats Retain the original, unedited outputs from software and hardware to preserve

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May 1 DGPO Presents: Best Practices in Data Catalog

4 hours ago Dataversity.net Show details

Data Catalogs are all the rage these days and are emerging as a separate category within Enterprise Data Management. In this session, Sunil will discuss best practices to implement a data catalog. This webinar will cover the following topics: Ingestion of Diverse Data Sources. Preview of Sample Data & Profiling.

Estimated Reading Time: 1 min

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Four Steps for Building a Successful Enterprise Metadata

6 hours ago Dataconomy.com Show details

Four Steps for Building a Successful Enterprise Metadata Catalog. With the fast-growing interest in data lakes — a storage solution that allows structured and semi-structured data to live in the same place — attention is turning toward metadata as a way to organize large amounts of diverse enterprise data. Metadata is an ambiguous and

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The 14 Best Metadata Management Tools for 2021

9 hours ago Solutionsreview.com Show details

Solutions Review’s listing of the best metadata management tools is an annual sneak peek of the top tools included in our Buyer’s Guide for Metadata Management and Data Cataloging Tool s. Information was gathered via online materials and reports, conversations with vendor representatives, and examinations of product demonstrations and free trials.

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Data Lake Architecture Best Practices and Free Guide

6 hours ago Talend.com Show details

Basic data security best practices to include in your data lake architecture include: Rigid access controls that prevent non-authorized parties from accessing or modifying the data lake. Access controls can be implemented on local servers if your data is stored on-premises, or via a cloud provider's IAM framework for cloud-based data lakes .

Estimated Reading Time: 8 mins

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Deployment best practices Azure Purview Microsoft Docs

2 hours ago Docs.microsoft.com Show details

Catalog business-critical assets: I need to have information about each data sets to have a good understanding of what it is. This scenario includes both business and technical metadata data about the data set in the catalog. The data sources include Azure Data Lake Storage Gen2, Azure Synapse DW, and/or Power BI.

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What steps are key to building a data catalog?

6 hours ago Searchdatamanagement.techtarget.com Show details

A data catalog can be an effective tool in data and metadata management and in analytics applications. Get expert tips on building a data catalog, including a list of 10 steps to take in planning and designing the catalog along with a business glossary and a data dictionary.

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All Best Practices DataONE

2 hours ago Old.dataone.org Show details

Create, manage, and document your data storage system. Data files should be managed to avoid disorder. To facilitate access to files, all storage devices, locations and access accounts should be documented and accessible to team members. Use appropriate tools, such as version control tools, to keep track of the history of the data files.

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Data Catalog – Enterprise Data Assets Microsoft Azure

6 hours ago Azure.microsoft.com Show details

In the new world of data, you can spend more time looking for data than you do analysing it. Azure Data Catalog is an enterprise-wide metadata catalogue that makes data asset discovery straightforward. It’s a fully managed service that lets you – from analyst to data scientist to data developer – register, enrich, discover, understand and

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9 Best Database Documentation Tools in 2021 (Paid & Free)

2 hours ago Comparitech.com Show details

Here is the list of the 9 best database documentation tools: ApexSQL Doc A database documentation tool for SQL, MySQL, SSIS, SSAS, SSRS, and Tableau. Available in Developer and DBA versions. RedGate SQL Doc Automatically documents databases. Part of the RedGate SQL Toolbelt. dbForge Documenter Automated documentation for MySQL and …

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DAS Slides: Data Quality Best Practices

7 hours ago Slideshare.net Show details

DAS Slides: Data Quality Best Practices. Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology.

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Populating the AWS Glue Data Catalog AWS Glue

9 hours ago Docs.aws.amazon.com Show details

RSS. The AWS Glue Data Catalog contains references to data that is used as sources and targets of your extract, transform, and load (ETL) jobs in AWS Glue. To create your data warehouse or data lake, you must catalog this data. The AWS Glue Data Catalog is an index to the location, schema, and runtime metrics of your data.

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Integration Patterns and Practices

6 hours ago Blog.bessereau.eu Show details

these pattern details and best practices during the design and implementation phase of a Salesforce integration project. If implemented properly, these patterns enable you to get to production as fast as possible and have the most stable, scalable, and maintenance-free set of applications possible.

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Webinars – Webcasts Informatica Talks Informatica

Just Now Informatica.com Show details

Fast, free cloud data integration. from cloud migration and data warehouse modernization best practices to improving customer experience, data governance, API management, and more. Enterprise Data Catalog Advanced Scanners, Informatica Louis-Noel Trapadoux – Senior Manager, Enterprise Data Catalog, Informatica. December 2, 2021.

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What is a service catalog IT service catalog examples

4 hours ago Manageengine.com Show details

1. Author: Manageengine
Published: Apr 15, 2020
Estimated Reading Time: 10 mins
2. Study business objectives and identify your stakeholders. The fundamental step in implementing a service catalog is to understand your business's objectives and end-user expectations.
3. Define and categorize the service offerings. Next, you need to define and categorize your services. Take stock of all the services offered by the IT department, the underlying workflows that support these services, and the turnaround time associated with each one.
4. Create service-specific SLAs and workflows. Once the IT department has defined and categorized the list of service offerings, it is time to create service-specific SLAs and define fulfillment workflows.
5. Organize your service fulfillment strategy. Create support groups for every service defined in the previous step. Designate service owners for all services; they'll act as the single point of contact.
6. Design your catalog. In its final form, the catalog should be easy for end users to navigate and use to request services. To that effect, the service offerings should be categorized based on industry best practices and end-user expectations.
7. Publish the service catalog and integrate it with the self-service portal. Once the service catalog and its workflows have been tested extensively, you need to integrate it with the self-service portal.
8. Practice continual service improvement. Now that you have a service catalog in place, it is important to constantly monitor key performance indicators (KPIs).

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What Is Data Curation? Alation

1 hours ago Alation.com Show details

Data curation, then, is the work of organizing and managing a collection of datasets to meet the needs and interests of a specific groups of people. Collecting datasets is only the beginning. That is what we do when we store data in data warehouses or data lakes. But organizing and managing are the essence of data curation.

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Frequently Asked Questions

Is your data cataloging methodology good enough?

Data catalogs can be powerful platforms for Data Management, and enterprise interest in them is continually growing. But all the power and features data catalogs may bring can be squandered without a good data cataloging methodology, paired with common-sense practices.

What are the best practices for maintaining a catalog?

In Purview, there are several areas where the Catalog Administrators need to ensure consistency and maintenance best practices over its life cycle: Data assets – Data sources will need to be rescanned across environments. It’s not recommended to scan only in development and then regenerate them using APIs in Production.

What is datadata catalog?

Data Catalog is a fully managed metadata management service that simplifies data discovery at any scale; there’s no infrastructure to set up or manage. The service is powered by Google search technology that supports Gmail and Drive so customers can quickly and easily find data assets wherever they are.

What are the benefits of cataloging metadata?

Capturing and harnessing this metadata in a robust, easily accessible catalog can open dramatic opportunities for an organization. Specifically, a catalog can improve the availability of enterprise data. Data scientists can quickly and confidently gather the necessary data for analysis.