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. Focus on metadata management.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

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?

Government 52

Government Data Governance Finance Metadata 52

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.

Data Governance 78

Data Governance Government High Quality Data Datasets 78

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. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs. How is the governance of DataHub being managed?

Metadata 100

Metadata BI Data Warehouse Government 100

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.

Data Governance 86

Data Governance Government Metadata Data Security 86

Striim

MARCH 4, 2025

These incidents serve as a stark reminder that legacy data governance systems, built for a bygone era, are struggling to fend off modern cyber threats. They react too slowly, too rigidly, and cant keep pace with the dynamic, sophisticated attacks occurring today, leaving hackable data exposed.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Precisely

FEBRUARY 26, 2025

If pain points like these ring true for you, theres great news weve just announced significant enhancements to our Precisely Data Integrity Suite that directly target these challenges! Then, youll be ready to unlock new efficiencies and move forward with confident data-driven decision-making.

Data Integration 64

Data Integration Data Management Management Data Governance 64

Data Engineering Weekly

MARCH 5, 2025

Data Silos: Breaking down barriers between data sources. Hadoop achieved this through distributed processing and storage, using a framework called MapReduce and the Hadoop Distributed File System (HDFS). This ecosystem includes: Catalogs: Services that manage metadata about Iceberg tables (e.g.,

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Cloudera

MARCH 9, 2021

Governance and the sustainable handling of data is a critical success factor in virtually all organizations. While Cloudera Data Platform (CDP) already supports the entire data lifecycle from ‘Edge to AI’, we at Cloudera are fully aware that enterprises have more systems outside of CDP. SDX: governance beyond CDP.

Data Governance 97

Data Governance Government Metadata Datasets 97

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

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 84

Metadata BI Data Lake Business Intelligence 84

Data Engineering Weekly

NOVEMBER 24, 2024

The system leverages a combination of an event-based storage model in its TimeSeries Abstraction and continuous background aggregation to calculate counts across millions of counters efficiently. link] Grab: Metasense V2 - Enhancing, improving, and productionisation of LLM-powered data governance.

Data Engineer 57

Data Engineer Data Engineering Engineering Insurance 57

Data Engineering Podcast

JUNE 16, 2024

What are the other systems that feed into and rely on the Trino/Iceberg service? 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? Email hosts@dataengineeringpodcast.com with your story.

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Wayne Yaddow

MARCH 28, 2025

Unleashing GenAIEnsuring Data Quality at Scale (Part2) Transitioning from individual repository source systems to consolidated AI LLM pipelines, the importance of automated checks, end-to-end observability, and compliance with enterprise businessrules. Fifth: It is essential to cultivate a strong culture of data governance and care.

Data Integration 52

Data Integration Data Governance Datasets Government 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. Focus on metadata management.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

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.

Metadata 52

Metadata IT Government High Quality Data 52

Ascend.io

DECEMBER 4, 2024

Instead of driving innovation, data engineers often find themselves bogged down with maintenance tasks. On average, engineers spend over half of their time maintaining existing systems rather than developing new solutions. Tool sprawl is another hurdle that data teams must overcome.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Netflix Tech

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. This nuanced integration of data and technology empowers us to offer bespoke content recommendations.

Kafka 66

Kafka Datasets Metadata Utilities 66

Snowflake

NOVEMBER 11, 2024

This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution. SnowConvert is an easy-to-use code conversion tool that accelerates legacy relational database management system (RDBMS) migrations to Snowflake.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

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

Snowflake

NOVEMBER 2, 2023

To effectively monitor and report on degradation in data quality across their organization, customers can use the new Data Quality Monitoring feature (in private preview) to either access out-of-the-box system metrics or create custom metrics. In addition, Snowflake is working on an Iceberg catalog REST API (in development).

Metadata 128

Metadata Government AWS Medical 128

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. If you missed it, make sure to catch up on Part 1 – Data Timeliness. What Is Data Taxonomy? Data that is properly classified, catalogued, and tagged is usually well-governed data.

Data Governance 52

Data Governance Government Metadata Datasets 52

Ascend.io

DECEMBER 4, 2024

Instead of driving innovation, data engineers often find themselves bogged down with maintenance tasks. On average, engineers spend over half of their time maintaining existing systems rather than developing new solutions. Tool sprawl is another hurdle that data teams must overcome.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Precisely

SEPTEMBER 5, 2023

As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.

Data Governance 52

Data Governance Government Data Management Management 52

Snowflake

FEBRUARY 12, 2025

AI agents, autonomous systems that perform tasks using AI, can enhance business productivity by handling complex, multi-step operations in minutes. Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. text, audio) and structured (e.g., and voyage-multilingual-2.

Unstructured Data 80

Unstructured Data Government SQL Structured Data 80

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 is a valuable organizational asset, yet if an organization isn’t capable of fully utilizing that asset, there can be a substantial opportunity cost.

Data Governance 52

Data Governance Government Building Data 52

Data Engineering Podcast

JUNE 5, 2022

Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems.

Data Security 100

Data Security Metadata MongoDB MySQL 100

François Nguyen

MARCH 7, 2021

In this article, Juan Sequada gives maybe one of the best definition of Data Mesh ” It is paradigm shift towards a distributed architecture that attempts to find an ideal balance between centralization and decentralization of metadata and data management.”

Government 130

Government Data Governance Data Metadata 130

Snowflake

JUNE 5, 2024

To help organizations better govern AI, Snowflake Horizon is also advancing security, lineage and sharing capabilities for models. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

Government 115

Government Accessibility Accessible Cloud 115

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking. The principles emphasize machine-actionability (i.e.,

Metadata 107

Metadata Healthcare Medical Data Storage 107

Data Engineering Podcast

JULY 10, 2022

In this episode Inbar Yogev and Lior Winner share the journey that they and their teams at Riskified have been on for their data platform. They also discuss how they have established a guild system for training and supporting data professionals in the organization. Atlan is the metadata hub for your data ecosystem.

Metadata 100

Metadata MongoDB MySQL Machine Learning 100

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

Data Governance 52

Data Governance Government Programming Healthcare 52

Knowledge Hut

MARCH 7, 2024

Syncing Across Data Sources Once you import data into Big Data platforms you may also realize that data copies migrated from a wide range of sources on different rates and schedules can rapidly get out of the synchronization with the originating system. This itself could be a challenge for a lot of enterprises.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Snowflake

APRIL 29, 2024

DORA: Building a More Secure Financial System DORA, enacted in January 2023, moves beyond reactive measures, requiring FEs and their service providers to proactively identify vulnerabilities, prevent disruptions and plan for swift recovery from incidents. This prioritizes security measures and simplifies data discovery.

Transportation 104

Transportation Data Governance Government Consulting 104

Cloudera

AUGUST 10, 2021

Apache Ozone enhancements deliver full High Availability providing customers with enterprise-grade object storage and compatibility with Hadoop Compatible File System and S3 API. . SDX enhancements for improved platform and data governance, including the following notable features: . Deep Dive 2: Atlas / Kafka integration.

Cloud 97

Cloud Kafka Metadata SQL 97

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Manufacturing 111

Manufacturing Retail Government Entertainment 111

Cloudera

AUGUST 26, 2021

This means that there is out of the box support for Ozone storage in services like Apache Hive , Apache Impala, Apache Spark, and Apache Nifi, as well as in Private Cloud experiences like Cloudera Machine Learning (CML) and Data Warehousing Experience (DWX). Data ingestion through ‘s3’. Ozone Namespace Overview. STORED AS TEXTFILE.

Data Science 113

Data Science Cloud Hadoop Metadata 113