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.

Data Governance 52

Data Governance Government Scala Data 52

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. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

Data Governance 130

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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.”

Data Governance 69

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.

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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.

Data Governance 52

Data Governance Government Programming Data 52

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. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

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. But it’s still not easy. But it’s still not easy.

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Precisely

SEPTEMBER 5, 2023

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. However, to get optimal value from your organization’s data, you need to apply the discipline of data governance to your MDM. Which business functions are using which set(s) of data?

Data Governance 52

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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. However, more often than not, it conjures up the idea of a central authority strictly guarding against such access. If you missed it, make sure to catch up on Part 1 – Data Timeliness.

Data Governance 52

Data Governance Government Metadata Datasets 52

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

Precisely

OCTOBER 31, 2024

Key Takeaways: Data mesh is a decentralized approach to data management, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to data management, creating a consistent way to manage, access, and share data across distributed environments.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

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.

Metadata 82

Metadata BI Data Lake Business Intelligence 82

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

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phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. ) Get the Trendbook What is the Impact of Data Governance on GenAI?

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Government Data Governance Finance Metadata 52

Precisely

AUGUST 22, 2024

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. Let’s explore the similarities – and the differences in their approaches.

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Precisely

APRIL 11, 2023

What existing data does the organization have to support my initiative? Where does that data live? 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? How can I ensure the data is up-to-date and issue-free moving forward?

Accessibility 52

Accessibility Accessible Metadata Data Integration 52

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.

Data Analytics 72

Data Analytics Data Integration Data Governance Government 72

Precisely

JUNE 24, 2024

The Precisely team recently had the privilege of hosting a luncheon at the Gartner Data & Analytics Summit in London. It was an engaging gathering of industry leaders from various sectors, who exchanged valuable insights into crucial aspects of data governance, strategy, and innovation.

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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

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. Last part, it was added the data security and privacy part. What data do we have ?

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Data Governance Metadata Government Data Pipeline 130

François Nguyen

MARCH 22, 2021

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 ? How can we interoperate between the data domains ? Data As Code is a very strong choice : we do not want any UI because it is an heritage of the ETL period.

Technology 130

Technology Architecture Google Cloud Metadata 130

Precisely

OCTOBER 17, 2024

Learn more about Chamberlain Group’s success story:  NZ Super Fund Winner: Business Impact Award Watch Geoff Smith, Head of Data Services at NZ Super Fund, share the company’s journey to instate data governance, improve data quality, and optimize spending on market information.

Data Integration 69

Data Integration Data Governance Government Metadata 69

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.

Data Analytics 59

Data Analytics Data Governance Data Integration Government 59

Snowflake

JUNE 5, 2024

At the same time, organizations must ensure the right people have access to the right content, while also protecting sensitive and/or Personally Identifiable Information (PII) and fulfilling a growing list of regulatory requirements. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

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Government Accessibility Accessible Cloud 103

Snowflake

NOVEMBER 2, 2023

As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon. Snowflake Horizon is Snowflake’s built-in governance solution with a unified set of compliance, security, privacy, interoperability, and access capabilities.

Metadata 107

Metadata Government AWS Medical 107

Monte Carlo

SEPTEMBER 10, 2024

Let’s dive into what data warehouse governance entails, why it matters, and how companies can avoid becoming the next cautionary tale. Table of Contents What is Data Warehouse Governance? Data warehouse governance is the set of policies, procedures, and controls that allow for the effective management of data.

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Data Warehouse Government Data Governance Metadata 52

Cloudera

APRIL 18, 2024

In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

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Metadata Government Data Governance Data 109

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. Think: data descriptions, data quality markers, business owners, etc. Set how often you want the metadata to sync from Alation to ThoughtSpot.

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Metadata Data Government Data Governance 105

Snowflake

NOVEMBER 12, 2024

These organizations and many more are using Hybrid Tables to simplify their data architectures and governance and security by consolidating transactional and analytical workloads onto Snowflake's single unified data platform.

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Food Metadata Education AWS 73

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.

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Precisely

MAY 13, 2024

Integrated data catalog for metadata support As you build out your IT ecosystem, it’s important to leverage tools that have the capabilities to support forward-looking use cases. A notable capability that achieves this is the data catalog. If so, how do you combine that metadata with other data across the enterprise?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Data Engineering Podcast

NOVEMBER 26, 2023

Summary Building a data platform that is enjoyable and accessible for all of its end users is a substantial challenge. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Go to [materialize.com]([link] today and get 2 weeks free!

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Cloudera

OCTOBER 10, 2024

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse.

IT 83

IT Data Lake Metadata Data Warehouse 83

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Snowflake

NOVEMBER 29, 2023

In medicine, lower sequencing costs and improved clinical access to NGS technology has been shown to increase diagnostic yield for a range of diseases, from relatively well-understood Mendelian disorders, including muscular dystrophy and epilepsy , to rare diseases such as Alagille syndrome.

Metadata 88

Metadata Healthcare Medical Data Storage 88

Snowflake

NOVEMBER 11, 2024

With Hybrid Tables’ fast, high-concurrency point operations, you can store application and workflow state directly in Snowflake, serve data without reverse ETL and build lightweight transactional apps while maintaining a single governance and security model for both transactional and analytical data — all on one platform.

Data Architecture 79

Data Architecture Architecture Data Lake Kafka 79

Precisely

JANUARY 25, 2024

You must carefully consider various mainframe functions, including security, system logs, metadata, and COBOL copybooks when moving to the new cloud platform. Mind Your Metadata When you move data from one system to another, it’s important to maintain metadata regarding that data’s lineage. Best Practice 2.

Metadata 69

Metadata Relational Database Data Governance Government 69