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.

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Data Governance Government High Quality Data Datasets 78

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.

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Data Governance Government Metadata Machine Learning 52

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 Warehouse Government Data Governance Metadata 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.

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Government Algorithm Machine Learning Metadata 72

Snowflake

JANUARY 25, 2023

IoT devices in every industry; geolocation information on our phones, watches, cars, and every other mobile device; every website or app we access—all are collecting data. A single organization may have access to millions of attributes. For the future, our automation tools must collect and manage metadata at the column level.

Metadata 82

Metadata Data Pipeline Government Data 82

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

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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Data Governance Government Scala Data 52

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 Governance Government Datasets Programming 69

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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Data Governance Government Metadata Medical 98

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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Precisely

OCTOBER 31, 2024

Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments. As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

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. …and congratulations to the winner: Bank of the West.

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Government Data Security Banking Metadata 89

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. Users need to know where to find data, and they need timely access to it.

Data Governance 52

Data Governance Government Programming Data 52

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 84

Data Governance Government Metadata Data Security 84

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

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. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access. What is Data Governance?

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Data Governance Government Data Cleanse Data Security 59

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. However, more often than not, it conjures up the idea of a central authority strictly guarding against such access. How Does Taxonomy Aid Data Governance? What Is Data Taxonomy?

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Data Governance Government Metadata Datasets 52

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.

Data Governance 52

Data Governance Government Data Management Management 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.

Metadata 82

Metadata BI Data Lake Business Intelligence 82

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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Management Government Metadata Python 91

Precisely

APRIL 11, 2023

Do I have access to the data? What do I need to do to access the data now and make it easy to find and access in the future? It’s critical that business analysts have the data they need and that IT has the appropriate metadata associated with those datasets for seamless replication into the cloud.

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Accessible Accessibility Metadata Data Integration 52

dbt Developer Hub

OCTOBER 3, 2024

These formats are changing the way data is stored and metadata accessed. Iceberg Data Catalog - an open-source metadata management system that tracks the schema, partition, and versions of Iceberg tables. The metadata management and performance make them very meaningful and should be paid attention to. What is Iceberg? ​

Metadata 86

Metadata Data Lake Data Storage Accessible 86

Netflix Tech

MARCH 10, 2021

ConsoleMe: A Central Control Plane for AWS Permissions and Access By Curtis Castrapel , Patrick Sanders , and Hee Won Kim At AWS re:Invent 2020, we open sourced two new tools for managing multi-account AWS permissions and access. They are the one-stop-shop for cloud permissions and access. This happened for us at Netflix.

AWS 102

AWS Accessible Accessibility Cloud 102

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 106

Metadata Government AWS Medical 106

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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Data Governance Government Programming Healthcare 52

Precisely

AUGUST 22, 2024

Both architectures tackle significant data management challenges such as integrating disparate data sources, improving data accessibility, automating management processes, and ensuring data governance and security. Data fabric centralizes data governance and security to ensure privacy, secure access, and high-quality data.

Data Governance 69

Data Governance Government High Quality Data Metadata 69

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 111

Unstructured Data Metadata Government SQL 111

Cloudera

NOVEMBER 15, 2024

By leveraging Apache Iceberg, an open table format designed for high-performance analytics on massive volumes of data, cyber defenders can access all of their data and conduct investigations with greater speed and efficiency. Whether they need to query data from today or from years past, the system scales up or down to meet their needs.

Metadata 82

Metadata Unstructured Data Data Lake Government 82

Snowflake

JUNE 21, 2024

Snowflake is now making it even easier for customers to bring the platform’s usability, performance, governance and many workloads to more data with Iceberg tables (now generally available), unlocking full storage interoperability. Get better Iceberg ecosystem interoperability with Primary Key information added to Iceberg table metadata.

Data Lake 114

Data Lake BI Business Intelligence Metadata 114

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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Metadata Government Data Data Governance 105

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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Food Data Analytics Pharmaceutical Consulting 94

Precisely

JULY 18, 2024

Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.

Data Management 52

Data Management Management Metadata Database-centric 52

Cloudera

APRIL 2, 2024

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. FedRAMP requires that we meet strict security standards to protect government data.

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Designing Process Government Metadata 99

Cloudera

DECEMBER 3, 2024

Cloudera’s open data lakehouse, powered by Apache Iceberg, solves the real-world big data challenges mentioned above by providing a unified, curated, shareable, and interoperable data lake that is accessible by a wide array of Iceberg-compatible compute engines and tools. SELECT * FROM airlines_data.carriers; 4.

Metadata 52

Metadata SQL Database Data Warehouse 52

Precisely

NOVEMBER 18, 2024

Data quality and data governance are the top data integrity challenges, and priorities. Ultimately, they are trying to serve data in their marketplace and make it accessible to business and data consumers,” Yoğurtçu says. Plan for data quality and governance of AI models from day one. Cloud modernization presents challenges.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

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