RandomTrees

SEPTEMBER 17, 2024

In the realm of big data and AI, managing and securing data assets efficiently is crucial. Databricks addresses this challenge with Unity Catalog, a comprehensive governance solution designed to streamline and secure data management across Databricks workspaces. What is Unity Catalog?

Data Governance 52

Data Governance Government Metadata Machine Learning 52

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

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. Closing Announcements Thank you for listening!

Data Governance 130

Data Governance Government Cloud Building 130

Monte Carlo

SEPTEMBER 10, 2024

This truth was hammered home recently when ride-hailing giant Uber found itself on the receiving end of a staggering €290 million ($324 million) fine from the Dutch Data Protection Authority. Poor data warehouse governance practices that led to the improper handling of sensitive European driver data. The reason?

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Data Warehouse Government Data Governance Metadata 52

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. What are the common challenges faced by engineers and data practitioners in organizing the metadata for their systems?

Metadata 100

Metadata Data Warehouse Data Lake BI 100

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?

Metadata 100

Metadata Management Kafka Data Engineer 100

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

Data Engineering Podcast

JULY 17, 2022

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data.

Data Management 130

Data Management Management Metadata MongoDB 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.

Data Governance 52

Data Governance Government Scala Data 52

Data Engineering Podcast

JUNE 16, 2024

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. Can you describe what role Trino and Iceberg play in Stripe's data architecture?

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

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.

Government 90

Government Data Security Banking Metadata 90

Data Engineering Podcast

APRIL 22, 2018

Summary The information about how data is acquired and processed is often as important as the data itself. For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What is involved in deploying your metadata collection agents?

Business Intelligence 113

Business Intelligence Metadata Management Data Governance 113

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

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

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. They are free to choose the infrastructure best suited for each workload.

Metadata 83

Metadata BI Data Lake Business Intelligence 83

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

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 Governance Data Integration Government 72

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. How can you within your organization?

Data Governance 52

Data Governance Government Building Data 52

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.

Metadata 272

Metadata Datasets Data Software Engineering 272

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.

Food 94

Food Data Analytics Pharmaceutical Consulting 94

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. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Programming Healthcare 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. The choice between the two depends on your business needs.

Data Governance 69

Data Governance Government High Quality Data 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

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.

Designing 101

Designing Process Government Metadata 101

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. In order to make all of this work data flows, going IN and OUT.

Metadata 147

Metadata Data Warehouse BI Scala 147

Data Engineering Podcast

FEBRUARY 19, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze.

IT 147

IT Data Lake Metadata Data Warehouse 147

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.

Metadata 110

Metadata Government Data Governance Data 110

The Modern Data Company

APRIL 15, 2024

Understands how different pieces of data (books) relate to each other, helping users find related information. Keeps the library orderly, adjusting as new data arrives. Tracks key performance indicators to understand the use and value of the data. Manages information about data access and monitors data quality.

Government 52

Government Metadata Data Data Management 52

Data Engineering Podcast

NOVEMBER 26, 2023

In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. Closing Announcements Thank you for listening!

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 84

IT Data Lake Metadata Data Warehouse 84

Data Engineering Podcast

OCTOBER 23, 2022

In this episode Shane Gibson shares practical advice and insights from his years of experience as a consultant and engineer working in data about how to adopt agile principles in your data work so that you can move faster and provide more value to the business, while building systems that are maintainable and adaptable.

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Project Metadata MongoDB MySQL 130

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 87

Metadata Healthcare Medical Data Storage 87

Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. In most cases, authorized users should be able to add sources and targets at the click of a button, without custom programming. How much time is required from me for this process? #3.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem. Data lineage and metadata systems are a hot topic right now.

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. Atlan is the metadata hub for your data ecosystem.

Data Security 100

Data Security Metadata MongoDB Scala 100

Databand.ai

JULY 19, 2023

Data lineage tools are not a new concept. However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. In this article: Why Are Data Lineage Tools Important?

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Pipeline-centric Data Governance Metadata Government 52