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When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Metadata Management Takes Time. Finding metadata, “the data about the data,” isn’t easy.
This post continues our series in which we want to provide an overview of what we do and how our webinars fit into it. All of our webinars are available on demand, so if we peak your interest with any of these posts, you can request a free recording. Read on and watch the webinars to get convinced. and metaphactory 4.3.
erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, this latest webinar focused on “ Data Governance Maturity & Tracking Progress.”.
Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Forbes Technology Council.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Join this webinar to learn how to blend Geospatial data (from SafeGraph), Financial Market and Transaction Data (from Facteus), & Global Websites Visit and Engagement KPIs (from SimilarWeb) to enrich, augment, and improve self-service analytics as well as predictive models. You’re invited!
But when IT-driven data management and business-oriented data governance work together in terms of both personnel, processes and technology, decisions can be made and their impacts determined based on a full inventory of reliable information. Webinar: The Value of Data Governance & How to Quantify It. Join us March 15 at 10 a.m.
Businesses across the globe have been forced to adapt their business models, technologies, and strategies to address the ongoing challenges of the COVID-19 pandemic. This is in stark contrast to the vast number of organizations that previously utilized on-premise discovery solutions and metadata management tools.
In the last couple of years, we’ve had so many Ontotext webinars on interesting topics, attended by an increasing number of people, asking more and more questions that we’ve decided to start a new series of blog posts dedicated to them. All of our webinars are available on demand. So What Is It That We Do?
Instead, they now must find ways to adapt to this new reality, which in many cases means adopting disruptive technologies that can help bridge the gap between working from the comfort of the office to working in the chaos of home (for those of us with kids out of school). Watch the Webinar. One word for you: Cloud.
The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. And what are the commercial implications of semantic technologies for enterprise data? Take this restaurant, for example.
erwin’s 2020 State of Data Governance and Automation report, based on a survey of business and technology professionals at organizations of various sizes and across numerous industries, examined the role of automation in data governance and intelligence efforts. The What & Why of Data Governance ” webinar on Tuesday, Feb.
Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing? A data catalog answers these questions with metadata, which labels the most useful (and used) data. Once the migration is complete, you will also need to consider the cost of training employees on the new technology.
Those businesses that decide to adopt AI technology will have an immense advantage, according to 72% of decision-makers. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. Register for AI Governance webinar. It is an imperative. IBM Global AI Adoption Index 2022.).
On January 4th I had the pleasure of hosting a webinar. So the material is not designed for IT – but spans business and technology. The webinar was very popular and I was not able to respond to all the questions during the live recording. You can of course listen and watch the webinar from this link. Architecture.
The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. The content on A-Team Insight covers financial markets and the way in which technology and data management play a part. Agile Data. A-Team Insight. Malcolm Chisholm.
Technology that makes Business Intelligence Intelligent. Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. Here is an overview of how automated metadata management makes your business intelligence smarter.
You can leverage Kubernetes (K8s) and containerization technologies to consistently deploy your applications across multiple clouds including AWS, Azure, and Google Cloud, with portability to write once, run anywhere, and move from cloud to cloud with ease. Only metadata will be regenerated. Metadata management .
Cloudera Data Platform (CDP) is a hybrid data platform with hybrid cloud capabilities and a number of other technologies and multifunction analytics to help public sector agencies deploy a modern data architecture that breaks through data silos and solves today’s public sector data challenges. Deploying modern data architectures.
Amidst the evolving technological landscape, one constant remains despite the ongoing attacks from nay-sayers: the importance of data modeling as a foundational step in the delivery of data to these forward-thinking organizations. Join our upcoming webinar for more insights! by Quest ®. that you should be excited about!
Highlights: Introducing erwin ER360, a visualization and collaboration portal Enterprise data modeling compliance (Workgroup Edition) Enterprise glossary (Workgroup Edition) Bi-directional metadata integration and exchange with erwin Data Intelligence Databricks Unity Catalog Integration Data management is a team sport.
Every business feels the pressure of competition, resource scarcity, and disruption due to technology breakthroughs. How metadata accelerates search & discovery. That metadata may include deprecations, user comments or conversations, or popular queries for a given asset. It shows not only who is using the data, but how.
Hear from FCSA How Automated Data Lineage and Discovery Accelerated Their Impact Analysis Research One Day instead of One Hundred Watch the Webinar. FCSA needed a better solution as manual data mapping was proving to be too time-consuming and it couldn’t deliver the improvements expected from a technology conversion.
This next installment in our series of posts dedicated to Ontotext webinars has been long overdue. All of our webinars are available on demand, so if we pique your interest with any of these posts, you can request a free recording. Read on and watch the webinars to get to the details! GraphQL Federation and Knowledge Graphs.
Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. And its applications are growing.
This is because most have failed to focus on the three pillars needed to be data-driven: people, culture, and the right technology. In this blog, we will discuss how the right technologies support a self-service analytics environment. Watch the webinar here.). Metadata (or data about data) is key. This is a 2-part blog.
A data fabric utilizes continuous analytics over existing, discoverable, and inferred metadata assets to support the design, deployment, and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms.” Data Catalog: To access and represent all metadata types.
To answer this question, I recently joined Anthony Seraphim of Texas Mutual Insurance Company (TMIC) and David Stodder of TDWI on a webinar. Watch the webinar now: Maximize Your Migration – Keys to Successfully Migrate to the Data Cloud. How do you capitalize on migration as a business-growth opportunity?
As the facilitator of the #CIOChat, I get to have fascinating conversations with CIOs and other technology leaders. To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management. The Role of Catalog in Data Security. Selecting a Data Catalog.
Recognizing this, data technology vendors have pivoted to become data governance vendors, keeping pace with customers who are increasingly folding data governance into their overall technology strategies — strategies that start with establishing trust. Learn More in a Webinar with the Report Author. Curious to learn more?
The solution to this massive data challenge embedded the Aspire Content Processing Framework into the Cloudera Enterprise Data Hub as a Cloudera Parcel – a binary distribution format containing the program files, along with additional metadata used by Cloudera Manager. compliance reporting.
Because of anxieties and misunderstandings around the HIPPO (highest paid person’s opinion), who may have little understanding about technology and use cases. Randi Ludwig , a data science leader at Dell Technologies, captured these zen k?ans Because reasons. Because of bad culture. Bad things happen this way.
To achieve this ideal state, organizations must align people, process, and technology in pursuit of a data culture. Regeneron provides a centralized metadata hub so researchers can find data quickly, collaborate across the business – and deliver medicines to market faster. Watch the webinar here! How can Alation help?
On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful. It’s “in” again.
Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Together, these two technologies are far more potent than when used separately and, when implemented correctly, can help organizations reach their potential.
Built on the Gartner-recognized DQLabs augmented data quality platform, erwin Data Intelligence’s new data quality offering provides erwin Data Intelligence customers with the ability to leverage erwin Data Catalog metadata to initiate a need for data quality assessment.
By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. You can see it On Demand here. Moving to Modern.
In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Alation makes finding data easy with powerful elastic search technology, as well as ranking relevant data in the same way that Google Search PageRank does for search results.
Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Together, these two technologies are far more potent than when used separately and, when implemented correctly, can help organizations reach their potential.
In this blog post, we dive into the capabilities of Ontotext’s semantic technology products and solutions that facilitate NLQ. How Ontotext uses RAG We build on top of our products GraphDB and Ontotext Metadata Studio to develop a content enrichment system.
BI is a set of independent systems (technologies, processes, people, etc.) And Manufacturing and Technology, both 11.6 The Hitchhiker’s Guide to Embedded Analytics Download Now Section 2: Embedded Analytics: No Longer a Want but a Need Find out how major shifts in technology are driving the need for embedded analytics.
So while the process of gathering data and establishing metadata to support transfer pricing would be highly standardized, the new system would have flexibility built in from the start to accommodate inevitable change. Adopting Key Principles. I'd like to see a demo of insightsoftware solutions.
The Gartner presentation, How Can You Leverage Technologies to Solve Data Quality Challenges? This lack of awareness leads to undetected issues, reactive data cleansing, and costly downstream impacts ( see the webinar: [link] L) The presentation highlights common challenges organizations face when dealing with data quality.
based on Change Data Capture (CDC) or event-based data replication) to data streaming technologies and specialists in transforming both structured and unstructured data. DWA tools focus on metadata-driven data pipeline creation and they streamline this process with visual modeling and automation at every step possible. Register here!
Preservation of metadata: Ensures existing relationships, constraints and business rules stay intact during migration. An extensive knowledge base: Find answers in seconds with our continually updated guides, expert-led on-demand webinars and more. Minimal downtime: Transitions data models quickly to prevent business disruption.
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