Precisely

NOVEMBER 14, 2023

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

Data Governance 118

Data Governance Government Metadata Retail 118

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 73

Metadata Data Governance Government Management 73

Data Engineering Weekly

DECEMBER 28, 2024

The shift towards intelligent data platforms will continue, with enterprises seeking to seamlessly integrate structured and unstructured data, ensuring quality, governance, and trustworthiness. The debate around table formats and Lakehouse architectures continues, but the focus is on unifying data ecosystems to enable AI-driven insights.

Unstructured Data 112

Unstructured Data Metadata Data Government 112

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. Privacera is an enterprise grade solution for cloud and hybrid data governance built on top of the robust and battle tested Apache Ranger project.

Data Governance 130

Data Governance Government Cloud Building 130

Snowflake

JUNE 5, 2024

Snowflake Horizon empowers these organizations to govern and discover with a built-in, unified set of compliance, security, privacy, interoperability and access capabilities for data, apps and models in the AI Data Cloud — and even extending these to Iceberg tables.

Government 115

Government Accessibility Accessible Cloud 115

Snowflake

JANUARY 25, 2023

Using column-level metadata to automate data pipelines I believe the best answer to these questions is that automation tools we use need to be column-aware. For the future, our automation tools must collect and manage metadata at the column level. And the metadata must include more than just the data type and size.

Metadata 104

Metadata Data Pipeline Government Data 104

Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. The key to those solutions is a robust and flexible metadata management system. What is the workflow for populating metadata into DataHub?

Metadata 100

Metadata Management Kafka Data Engineering 100

Data Engineering Podcast

NOVEMBER 10, 2021

Summary A significant source of friction and wasted effort in building and integrating data management systems is the fragmentation of metadata across various tools. After experiencing the impacts of fragmented metadata and previous attempts at building a solution Suresh Srinivas and Sriharsha Chintalapani created the OpenMetadata project.

Metadata 100

Metadata Data Warehouse Data Lake BI 100

Engineering at Meta

APRIL 28, 2025

Understanding DataSchema requires grasping schematization , which defines the logical structure and relationships of data assets, specifying field names, types, metadata, and policies. For example, in the data warehouse, it’s represented as a Dataset – an in-code Python class capturing the asset’s schema and metadata.

Metadata 79

Metadata Data Utilities Data Warehouse 79

Cloudera

AUGUST 6, 2024

And for that future to be a reality, data teams must shift their attention to metadata, the new turf war for data. The need for unified metadata While open and distributed architectures offer many benefits, they come with their own set of challenges. Data teams actually need to unify the metadata. Open data is the future.

Metadata 82

Metadata Government Datasets Architecture 82

Data Engineering Podcast

OCTOBER 15, 2021

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. What are some examples of automated actions that can be triggered from metadata changes? How is the governance of DataHub being managed?

Metadata 100

Metadata BI Data Warehouse Government 100

Precisely

NOVEMBER 18, 2024

Data quality and data governance are the top data integrity challenges, and priorities. When AI is only as trustworthy as the data it’s trained on, you must prioritize data governance, quality, and overall integrity – whether building new AI solutions or refining existing ones.

Data Analytics 71

Data Analytics Data Governance Data Integration Government 71

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s

Data Governance 100

Data Governance Government Metadata Medical 100

Christophe Blefari

MARCH 15, 2024

Assisted AI wars are around the corner — I'm only following the French news, but the government is proudly doubling its budget for "AI defense" From what I know, AI is mainly used as an information companion to find signals in the huge amount of data we generate, creating more efficient agents. This is Croissant.

Metadata 272

Metadata Data Data Warehouse Software Engineer 272

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Government Management 52

Snowflake

SEPTEMBER 24, 2024

With the breakneck speed of AI advancement, new innovations inevitably outpace global governments’ abilities to regulate its use. Rather than struggle with a reactive approach tackling new technology case by case, governments worldwide are developing AI governance frameworks that proactively seek ways to address these challenges.

Government 96

Government Algorithm Machine Learning Metadata 96

Cloudera

MARCH 9, 2021

Governance and the sustainable handling of data is a critical success factor in virtually all organizations. In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise.

Data Governance 97

Data Governance Government Metadata Datasets 97

Cloudera

DECEMBER 20, 2021

But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Another option — a more rewarding one — is to include centralized data management, security, and governance into data projects from the start. Winner of the Data Impact Awards 2021: Security & Governance Leadership.

Government 91

Government Data Security Banking Metadata 91

Precisely

FEBRUARY 26, 2025

These enhancements improve data accessibility, enable business-friendly governance, and automate manual processes. Many businesses face roadblocks within their critical enterprise data, including struggles to achieve greater accessibility, business-friendly governance, and automation.

Data Integration 63

Data Integration Data Management Management Data Governance 63

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Metadata 84

Metadata BI Data Lake Business Intelligence 84

Precisely

SEPTEMBER 19, 2024

Robust data governance for AI ensures data privacy, compliance, and ethical AI use. But achieving AI mastery comes with its own unique hurdles – the most significant being ensuring the quality and governance of the data that fuels your AI systems. And within those data strategies, data governance is non-negotiable.

Data Governance 77

Data Governance Government High Quality Data Datasets 77

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. Data governance has always required a combination of people, processes and technology to work.

Data Governance 86

Data Governance Government Metadata Data Security 86

Data Engineering Weekly

MARCH 5, 2025

This ecosystem includes: Catalogs: Services that manage metadata about Iceberg tables (e.g., Maintenance Processes: Operations that optimize Iceberg tables, such as compacting small files and managing metadata. Metadata Overhead: Iceberg relies heavily on metadata to track table changes and enable features like time travel.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

dbt Developer Hub

APRIL 20, 2025

dbt is the standard for creating governed, trustworthy datasets on top of your structured data. These tools can be called by LLM systems to learn about your data and metadata. MCP is showing increasing promise as the standard for providing context to LLMs to allow them to function at a high level in real world, operational scenarios.

Structured Data 98

Structured Data SQL BI Project 98

Precisely

JANUARY 16, 2024

As the value of data reaches new highs, the fundamental rules that govern data-driven decision-making haven’t changed. If your data quality is low or if your data assets are poorly governed, then you simply won’t be able to use them to make good business decisions. What are the biggest trends in data governance for 2024?

Data Governance 68

Data Governance Government Metadata Data 68

Striim

MARCH 4, 2025

Thats not all: a single vulnerability in MOVEit led to 49 million records being compromisedimpacting government agencies, financial institutions, and healthcare organizations alike, with damages soaring into the billions. Thats where AI-powered data governance comes into play. Trust, once lost, is incredibly difficult to regain.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Data Engineering Podcast

JUNE 16, 2024

what kinds of questions are you answering with table metadata what use case/team does that support comparative utility of iceberg REST catalog What are the shortcomings of Trino and Iceberg? What were the requirements and selection criteria that led to the selection of that combination of technologies? Want to see Starburst in action?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Snowflake

FEBRUARY 12, 2025

End-to-end unified governance, from ingestion to application, enables teams to deliver a new wave of data agents. For AI agents to work at scale, they need secure connection with enterprise data and unified governance to manage their access, similar to existing controls for your teams. text, audio) and structured (e.g.,

Unstructured Data 82

Unstructured Data Government SQL Structured Data 82

Snowflake

NOVEMBER 11, 2024

Whether it’s unifying transactional and analytical data with Hybrid Tables, improving governance for an open lakehouse with Snowflake Open Catalog or enhancing threat detection and monitoring with Snowflake Horizon Catalog , Snowflake is reducing the number of moving parts to give customers a fully managed service that just works.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Ascend.io

JULY 11, 2024

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. This is what managing data without metadata feels like. What is Metadata?

Metadata 52

Metadata IT Government High Quality Data 52

François Nguyen

MARCH 22, 2021

How do we govern all these data products and domains ? and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…). TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ?

Technology 130

Technology Architecture Google Cloud Metadata 130

Precisely

NOVEMBER 18, 2024

Data quality and data governance are the top data integrity challenges, and priorities. When AI is only as trustworthy as the data it’s trained on, you must prioritize data governance, quality, and overall integrity – whether building new AI solutions or refining existing ones.

Data Analytics 58

Data Analytics Data Governance Government Data Integration 58

Snowflake

NOVEMBER 2, 2023

Snowflake’s single, cross-cloud governance model has always been a powerful differentiator, enabling customers to manage their increasingly complex data ecosystems with simplicity and ease. As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon.

Metadata 129

Metadata Government AWS Medical 129

DataKitchen

FEBRUARY 20, 2025

Better Metadata Management Add Descriptions and Data Product tags to tables and columns in the Data Catalog for improved governance. Enhanced Column Profiling Displays Get clearer insights with redesigned views in the Data Catalog, Profiling Results, Hygiene Issues, and Test Results pages. DataOps just got more intelligent.

Datasets 73

Datasets Metadata Data Government 73

François Nguyen

JANUARY 18, 2021

To finish the trilogy (Dataops, MLops), let’s talk about DataGovOps or how you can support your Data Governance initiative. In every step,we do not just read, transform and write data, we are also doing that with the metadata. The origin of the term : Datakitchen We must give credit to Chris Bergh and his team DataKictchen.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

Data Engineering Weekly

NOVEMBER 24, 2024

Canva writes about its custom solution using dbt and metadata capturing to attribute costs, monitor performance, and enable data-driven decision-making, significantly enhancing its Snowflake environment management. link] Grab: Metasense V2 - Enhancing, improving, and productionisation of LLM-powered data governance.

Data Engineering 57

Data Engineering Data Engineer Engineering Insurance 57

Snowflake

JULY 25, 2024

Cortex Search offers state-of-the-art semantic and lexical search over your text data in Snowflake behind an intuitive user interface, and it comes with the robust security and governance features that Snowflake is known for. Secure and governed : Benefit from the same security and governance features as the rest of your Snowflake data.

Unstructured Data 131

Unstructured Data Metadata Government SQL 131