Cloudera

NOVEMBER 2, 2021

More use cases must be deployed to drive more insight and value; more data needs to be made available to more users. Data governance: three steps to success. It is safe to assume that businesses understand the importance of good data governance. Know what data you have. Better governance for better outcomes.

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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.

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Cloudera

SEPTEMBER 23, 2022

Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account. Your team will make the decision on the size and shape of the infrastructure that comprises the data lakehouse deployment.

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Cloudera

NOVEMBER 13, 2024

Cloudera, together with Octopai, will make it easier for organizations to better understand, access, and leverage all their data in their entire data estate – including data outside of Cloudera – to power the most robust data, analytics and AI applications.

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Precisely

SEPTEMBER 19, 2024

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

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Cloudera

JUNE 14, 2024

But for all the excitement and movement happening within hybrid cloud infrastructure and its potential with AI, there are still risks and challenges that need to be appropriately managed—specifically when it comes to the issue of data governance. The need for effective data governance itself is not a new phenomenon.

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Precisely

JANUARY 16, 2024

As the role of data and data-driven decision-making increases and as the overall volume and velocity of available data grows, data governance is evolving to meet a changing set of business requirements. What are the biggest trends in data governance for 2024?

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Snowflake

MARCH 31, 2025

Snowflake ML now also supports the ability to generate and use synthetic data, now in public preview. All customer accounts are automatically provisioned to have access to default CPU and GPU compute pools that are only in use during an active notebook session and automatically suspended when inactive.

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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.

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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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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.

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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. Data curator: Assigns and enforces data classification according to the rules defined by the data stewards so that data assets are searchable by the data consumer.

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Snowflake

NOVEMBER 26, 2024

The move itself took just a matter of three months, including the time it took to clean up and organize much of its existing data to set WHOOP up for the future. Now, the company is enjoying the benefits of Snowflake’s performance, simplicity and data governance. million in cost savings annually.

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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.”

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Precisely

FEBRUARY 26, 2025

Key Takeaways: New AI-powered innovations in the Precisely Data Integrity Suite help you boost efficiency, maximize the ROI of data investments, and make confident, data-driven decisions. These enhancements improve data accessibility, enable business-friendly governance, and automate manual processes.

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Snowflake

NOVEMBER 11, 2024

This is not surprising when you consider all the benefits, such as reducing complexity [and] costs and enabling zero-copy data access (ideal for centralizing data governance).

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Banking Finance Retail Food 98

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.

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Snowflake

MARCH 19, 2025

Hear from technology and industry experts about the ways in which leading retail and consumer goods companies are building connected consumer experiences with Snowflakes AI Data Cloud and maximizing the potential of AI.

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Snowflake

APRIL 7, 2025

Its real-time analytics and data-sharing capabilities enable us to deliver seamless AI-driven insights while prioritizing safety. With advanced encryption, strict access controls and strong data governance, Snowflake helps us ensure the confidentiality and protection of our clients information.

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Precisely

FEBRUARY 12, 2024

Read our eBook Data Governance 101 Read this eBook to learn about the challenges associated with data governance and how to operationalize solutions. Read Common Data Challenges in Telecommunications As natural innovators, telecommunications firms have been early adopters of advanced analytics.

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databricks

MAY 5, 2023

As the volume, velocity and variety of data grows, organizations are increasingly relying on staunch data governance practices to ensure their core business.

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Snowflake

FEBRUARY 3, 2025

Laying the groundwork: Creating solid data foundations While generative AI holds immense promise, achieving its full potential depends on having a solid data foundation. High-quality, accessible and well-governed data enables organizations to realize the efficiency and productivity gains executives seek.

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Precisely

JANUARY 27, 2025

AI success is impacted by a lack of data readiness The potential of AI has had the business world buzzing and for good reason. And yet, only 12% of organizations report that their data is of sufficient quality and accessibility for effective AI implementation. In fact, its second only to data quality.

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Data Engineering Podcast

FEBRUARY 18, 2024

For someone who is interested in building a data lakehouse with Trino and Iceberg, how does that influence their selection of other platform elements? What are the differences in terms of pipeline design/access and usage patterns when using a Trino/Iceberg lakehouse as compared to other popular warehouse/lakehouse structures?

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Precisely

AUGUST 29, 2024

Data observability continuously monitors data pipelines and alerts you to errors and anomalies. Data governance ensures AI models have access to all necessary information and that the data is used responsibly in compliance with privacy, security, and other relevant policies. used: who has access to it?

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Data Engineering Weekly

APRIL 24, 2025

. - Integration and Accessibility: The ease of integrating and accessing data within the organization significantly accelerates AI adoption and effectiveness. Iterative Improvement: Regular feedback loops and iterative refinement of data processes help gradually enhance data readiness and AI performance.

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Government Data Governance High Quality Data Machine Learning 52

Data Engineering Podcast

JUNE 30, 2024

How does the focus on data assets/data products shift your approach to observability as compared to a table/pipeline centric approach? With the focus on sharing ownership beyond the boundaries on the data team there is a strong correlation with data governance principles. Want to see Starburst in action?

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Snowflake

FEBRUARY 12, 2025

Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. As data connections expand, managing access controls and efficiently retrieving accurate informationwhile maintaining strict privacy protocolsbecomes increasingly complex. text, audio) and structured (e.g.,

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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. Last part, it was added the data security and privacy part. Every data governance policy about this topic must be read by a code to act in your data platform (access management, masking, etc.)

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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

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RandomTrees

SEPTEMBER 17, 2024

Understanding the Object Hierarchy in Metastore Identifying the Admin Roles in Unity Catalog Unveiling Data Lineage in Unity Catalog: Capture and Visualize Simplifying Data Access using Delta Sharing 1. Improved Data Discovery The tagging and documentation features in Unity Catalog facilitate better data discovery.

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Data Governance Government Metadata Machine Learning 52

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 Engineering Weekly

MARCH 5, 2025

Infrastructure Management: Setting up and maintaining an Iceberg-based data lakehouse requires expertise in infrastructure-as-code, monitoring, observability, and data governance. What are your data governance and security requirements? Are you prioritizing performance, cost, or both?

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Precisely

MARCH 28, 2025

However, they faced a growing challenge: integrating and accessing data across a complex environment. Some departments used IBM Db2, while others relied on VSAM files or IMS databases creating complex data governance processes and costly data pipeline maintenance. The result?

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Simon Späti

DECEMBER 19, 2024

Data-driven decision-making is crucial for business success, but organizations face a growing challenge of complexity and data governance. These challenges make it difficult to access data in a unified way. In Part 1 , we explored the semantic layer through the lens of MVC, and in Part 2 , we outlined its benefits.

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Cloudera

OCTOBER 23, 2024

It is a critical feature for delivering unified access to data in distributed, multi-engine architectures. Snowflake is a prominent contributor to the Iceberg project, understanding the value it brings to its customers in terms of interoperability, data management, and data governance.

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Snowflake

JUNE 27, 2024

By bringing workloads closer to the data, Snowflake Native Apps integrated with Snowpark Container Services makes it easier for RAI’s customers to adopt its technology. Snowflake Marketplace access Aref says RelationalAI saw new customer interest and demand grow exponentially, even when their product was available only in private preview.

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