Cloudyard

OCTOBER 15, 2024

When using Iceberg tables, every Data Definition Language ( DDL ) operation triggers the generation of a new metadata JSON file that captures the updated structure. This article outlines a process for efficiently tracking schema changes in Iceberg tables by leveraging Snowflake’s powerful metadata storage capabilities.

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Metadata Data Governance Government Data Integration 52

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?

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RandomTrees

SEPTEMBER 17, 2024

Databricks addresses this challenge with Unity Catalog, a comprehensive governance solution designed to streamline and secure data management across Databricks workspaces. It acts as a sophisticated metastore that not only organizes metadata but also enforces security and governance policies across various data assets and AI models.

Data Governance 52

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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.

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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.

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Monte Carlo

SEPTEMBER 10, 2024

Poor data warehouse governance practices that led to the improper handling of sensitive European driver data. Uber’s misstep serves as a stark reminder of what can go wrong when data warehouse governance is neglected and makes clear that understanding and implementing solid data warehouse governance is more crucial than ever.

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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.

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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.

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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.

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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?

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Metadata Management Kafka Data Engineer 100

Precisely

DECEMBER 8, 2023

As you strive to achieve higher levels of data integrity, data governance becomes imperative. What is Data Governance? Robert Seiner, author of Non-Invasive Data Governance and founder of KIK Consulting, defines data governance as “the execution and enforcement of authority over data.”

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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?

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RandomTrees

SEPTEMBER 23, 2024

In the first part of Data Governance with Unity Catalog , we explored the fundamentals of Unity Catalog, including its core features, advantages, and a comparison with other data catalog tools. Let’s further unlock the potential of Unity Catalog as we explore these essential aspects of data governance.

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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

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Scott Logic

AUGUST 8, 2024

For the government, data challenges are nothing new. In this post, I’ll look at some of those challenges across the data lifecycle, and share insights from our recent work and conversations with government about practical ways forward. In this regard, it was great to hear recently about the government being ahead of the curve.

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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.

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Precisely

SEPTEMBER 15, 2023

Data governance is no trivial undertaking. When executed correctly, data governance transitions businesses from guesswork to data-informed strategies. For those who follow the right roadmap on their data governance journey, the payoff can be enormous. When done correctly, data governance delivers a strong return on investment.

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Data Engineering Podcast

APRIL 22, 2018

For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What are some of the types of information that you classify and collect as metadata? What are some of the challenges that are typically faced by metadata management systems?

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The Modern Data Company

MARCH 7, 2023

Data governance can be a powerful agent in scaling the use and distribution of trusted data throughout the company. In this 3-part series, we’ll cover the critical and often misunderstood components of data governance and offer perspective on how to implement data governance strategies that deliver trusted data at the speed of business.

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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.

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Precisely

SEPTEMBER 5, 2023

However, to get optimal value from your organization’s data, you need to apply the discipline of data governance to your MDM. Although MDM serves a vitally important function by ensuring the shared master data is managed correctly and is fit for purpose, it does not offer the same benefits as a full-blown data governance program.

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Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. An important aspect of data governance is measuring and monitoring its effectiveness using data governance metrics. What is Data Governance?

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Precisely

JULY 19, 2023

Data governance is fast becoming a business imperative. Many top executives and line-of-business managers lack a clear understanding of the benefits of data governance. Data governance plays a critical role in risk management and compliance as well. Building a data governance business case is essential.

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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.

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Precisely

OCTOBER 31, 2024

While data products may have different definitions in different organizations, in general it is seen as data entity that contains data and metadata that has been curated for a specific business purpose. Organizations need governance maturity to ensure that domain teams can manage their data effectively.

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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?

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Monte Carlo

JANUARY 16, 2024

And with so many data teams across functions, how does Fox approach data governance? Table of Contents Solve data silos starting at the people-level Keep data governance approachable Oliver Gomes’ data governance best practices Manage and promote the value of high-quality data How will Generative AI impact data quality at Fox?

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Government High Quality Data Data Governance Entertainment 52

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.

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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.

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AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81 billion by 2026.

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Snowflake

JUNE 11, 2024

Governed ML Traceability: ML Lineage, in private preview, offers visibility into the usage of objects and artifacts across development and operations. With these new features in Snowflake ML, developers can leverage centralized, governed MLOps for faster management of features and models.

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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.

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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.

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Precisely

JUNE 24, 2024

It was an engaging gathering of industry leaders from various sectors, who exchanged valuable insights into crucial aspects of data governance, strategy, and innovation. The concept of federated data governance sparked vigorous discussion.

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Snowflake

NOVEMBER 12, 2024

As part of Snowflake Unistore , Hybrid Tables unify both transactional and analytical workloads on a single database to simplify architectures as well as governance and security. Apps built on Snowflake also gain the advantage of Snowflake’s unified data governance model, which helps maintain security and compliance for all your data.

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ThoughtSpot

OCTOBER 9, 2023

How ThoughtSpot builds trust with data catalog connectors For many, the data catalog is still the primary home for metadata enrichment and governance. Our data catalog integrations allow you to tap into this metadata wealth and surface it in the context where it’s needed most—when conducting business analytics.

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Christophe Blefari

JUNE 21, 2024

Below a diagram describing what I think schematises data platforms: Data storage — you need to store data in an efficient manner, interoperable, from the fresh to the old one, with the metadata. Edge stuff — and then everything else that goes with it like privacy, observability, orchestration, scheduling, governance, etc.

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