This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.
We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadatagovernance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets.
It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers datagovernance and end-to-end lineage within Salesforce Data Cloud. Additional to that, we are also allowing the metadata inside of Alation to be read into these agents.”
AWS re:Invent 2024, the flagship annual conference, took place December 26, 2024, in Las Vegas, bringing together thousands of cloud enthusiasts, innovators, and industry leaders from around the globe.
2024 Gartner Market Guide To DataOps We at DataKitchen are thrilled to see the publication of the Gartner Market Guide to DataOps, a milestone in the evolution of this critical software category. At DataKitchen, we think of this is a ‘meta-orchestration’ of the code and tools acting upon the data. Contact us to learn more!
This post describes how HEMA used Amazon DataZone to build their data mesh and enable streamlined data access across multiple business areas. It explains HEMAs unique journey of deploying Amazon DataZone, the key challenges they overcame, and the transformative benefits they have realized since deployment in May 2024.
Good datagovernance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.
IDC, BARC, and Gartner are just a few analyst firms producing annual or bi-annual market assessments for their research subscribers in software categories ranging from data intelligence platforms and data catalogs to datagovernance, data quality, metadata management and more. All rights reserved.
I assert that through 2027, three-quarters of enterprises will be engaged in data intelligence initiatives to increase trust in their data by leveraging metadata to understand how, when and where data is used in their organization, and by whom. Regards, Matt Aslett
AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a datagovernance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. DataZone automatically manages the permissions of your shared data in the DataZone projects.
For our heater example, Icebergs change log view would allow us to effortlessly retrieve a timeline of all price changes, complete with timestamps and other relevant metadata, as shown in the following table. Before running the query, replace and with specific time ranges such as 2024-10-24 17:18:00 and 2024-10-24 17:20:00.
The healthcare industry faces arguably the highest stakes when it comes to datagovernance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of datagovernance.
Data silos are a perennial data management problem for enterprises, with almost three-quarters (73%) of participants in ISG Research’s DataGovernance Benchmark Research citing disparate data sources and systems as a datagovernance challenge.
As these types ANPRMs continue to be released and regulation swiftly catches up to innovation, a recent Gartner survey predicts that 75% of the world’s population will have its personal data covered under modern privacy regulations by the end of 2024. Build a foundation using a common catalog and metadata.
A 2024 survey by Monte Carlo and Wakefield Research found that 100% of data leaders feel pressured to move forward with AI implementations even though two out of three doubt their data is AI-ready. Those organizations are sailing into the AI storm without a proper compass – a solid enterprise-wide datagovernance strategy.
The financial services industry has been in the process of modernizing its datagovernance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Download the Gartner® Market Guide for Active Metadata Management 1.
Amazon DataZone is a powerful data management service that empowers data engineers, data scientists, product managers, analysts, and business users to seamlessly catalog, discover, analyze, and governdata across organizational boundaries, AWS accounts, data lakes, and data warehouses. Choose Next.
billion and will grow to reach nearly $19 billion in 2024. How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them.
For example, New York City published its own AI Action plan in October 2023, and formalized its AI principles in March 2024. These forms only survey AI model owners or procurers about the purpose of the AI model, its training data and approach, accountable parties and concerns for disparate impact.
Could you precise to which complementary research you mentioned when you talked about a datagovernance survey ? – Here is the one I mentioned during the webinar: The State of Data and Analytics Governance Is Worse Than You Think. – Data (and analytics) governance remains a challenge.
Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away.
To provide guidance to federal agencies, and in many ways lead the way for the private sector, the Cybersecurity and Infrastructure Security Agency (CISA) issued the initial Zero Trust Maturity Model (ZTMM) in 2021 with the intent to give agencies a conceptual roadmap to onboard to a shared zero-trust maturity model by 2024.
Metadata management has played a role in datagovernance and analytics for many years. It wasnt until the emergence of the data catalog as a product category just over a decade ago that enterprises had a platform for metadata-driven data management that could span multiple departments and use cases across an entire enterprise.
The data mesh, built on Amazon DataZone , simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. After the right data for the use case was found, the IT team provided access to the data through manual configuration.
Policymakers interested in leveraging data sovereignty requirements to advance economic and investment goals certainly continue to care. What has changed are the critical design factors in the interconnected world of cloud computing: the physical location of the data, metadata, and the governance surrounding it.
However, a closer look reveals that these systems are far more than simple repositories: Data catalogs are at the forefront of bringing AI into your business for at least two reasons. Second, AI governance has become a priority just recently, driven by the sudden ubiquitous surge in (Generative) AI use cases on the one hand.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content