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Better Metadata Management Add Descriptions and Data Product tags to tables and columns in the Data Catalog for improved governance. Watch the Launch Webinar Here: [link] Download Now Request Demo Smarter Profiling & Test Generation Improved logic reduces false positives , making test results more accurate and actionable.
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.
Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Watch the webinar today! The post Webinar Summary: Data Mesh and Data Products first appeared on DataKitchen.
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.
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. Donna Burbank. IRM UK Connects.
Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. 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 post Top 10 Data Lineage Podcasts, Blogs, and Magazines appeared first on Octopai.
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.”.
Metadata provides basic information (the who, what, when, where, why) about your data assets. Think of metadata as your data’s life story. By properly managing your metadata, you can improve data visibility, enhance any area of business that uses data and insights, and create opportunities for data reuse and sharing.
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. All of our webinars are available on demand.
Recently, erwin held the first in a six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Mr. Pörschmann asked webinar attendees to stop trying to explain what data governance is to executives and clients. Webinar: The Value of Data Governance & How to Quantify It.
It provides free access to videos, webinars, courseware, simulations, frameworks and expert strategic advice leveraging the erwin EDGE platform for rapid response transformation during the COVID-19 crisis. We want to help, so we built the erwin Rapid Response Resource Center. How can the erwin EDGE platform help?
Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. As Jason Lemkin of Saastr so accurately put it in his blog article, The ‘Covid Boost’ for SaaS Will Last Years , “We are all living and working in the cloud.” Watch the Webinar.
In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. Parquet also stores type metadata which makes reading back and processing the files later slightly easier. Introduction. The raw data is in a series of CSV files. Register Now. .
Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata. Figure 7: the DataKitchen DataOps Platform keeps track of all the instances of a job being submitted and its metadata. About the Author. Priyanjna Sharma.
Provide metadata and schema visualization regardless of where data is stored. Data modeling solutions need to account for metadata and schema visualization to mitigate complexity and increase collaboration and literacy across a broad range of data stakeholders. Nine Steps to Data Modeling.
This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. This includes repeatability and the ability to capture of model development time, metadata, post-deployment model monitoring, and to customize workflows. Register for AI Governance webinar. Where do you go from here?
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. Source: Webinar with data expert Claudia Imhoff: A Data-Driven Approach to Cloud Migration (Teradata & Alation).
Overview This blog post describes support for materialized views for the Iceberg table format. Create Iceberg materialized view For the examples in this blog, we will use three tables from the TPC-DS dataset as our base tables: store_sales, customer and date_dim. Both full and incremental rebuild of the materialized view are supported.
Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. Over 2000 customers and partners joined us in this live webinar featuring a first-look at our upcoming cloud-native CDP services. Cloudera received extraordinary interest in CDP from participants, exemplified by the more than 300 questions posed throughout the webinar.
Improving data intelligence through the automation, distribution, stewardship, and effective use of business and technical processes and metadata will certainly alleviate many of the pain points associated with governing data. The same can be said about metadata — that data that enables people to gain value from their data.
KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. Take this restaurant, for example.
This is an aspect of data lineage, created from technical metadata, ensuring nothing “breaks” along the change train. Register now for the first of a new, six-part webinar series on the practice of data governance and how to proactively deal with the complexities. “ The What & Why of Data Governance ” webinar on Tuesday, Feb.
Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Iceberg tables supported on CDP, automatically inherit the centralized and persistent Shared Data Experience (SDX) services—security, metadata, and auditing—from your CDP environment. .
Integration, metadata and governance capabilities glue the individual components together.”. In addition, we offer features for data and workload migration, and metadata management to meet the most stringent demands of our customers, across all environments.
In this blog, we will discuss performance improvement that Cloudera has contributed to the Apache Iceberg project in regards to Iceberg metadata reads, and we’ll showcase the performance benefit using Apache Impala as the query engine. The data files and metadata files in Iceberg format are immutable.
Source: AmFam webinar with Alation: Driving Business Value from Governance Programs with Alation. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. Subscribe to Alation's Blog. In other words, we sought to build a data culture and needed some guidance.
The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.
For example, you can provide a more precise definition of what you offer as well as additional metadata such as the countries/regions where you offer your services, screenshots of your products and success stories for consultancies. Within the questionnaire, you will find a form to add and promote your webinars and success stories.
In this blog, we will touch on these issues as well as how we can expand the scope and depth of a data governance framework. FREE WEBINAR]. Some other common data governance obstacles include: Questions about where to begin and how to prioritize which data streams to govern first. Issues regarding data quality and ownership.
YL: We’re interested in metadata. Yael Lev was a featured speaker in our webinar, “Humanizing BI Through Natural Language Processing and Knowledge Graphs,” alongside data scientist Ayelet Arditi and Sisense product marketing manager Julie Zuckerman. You can click here to view the entire webinar on demand.
In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Stay tuned, you can expect more blog posts from us about upcoming features and technical deep dives.
It added metadata that described the logical and physical layout of the data, enabling cost-based optimizers, dynamic partition pruning, and a number of key performance improvements targeted at SQL analytics. The post The Future of the Data Lakehouse – Open appeared first on Cloudera Blog.
It delivers the ability to capture and unify the business and technical perspectives of data assets, enables effective collaboration between a variety of stakeholders, and delivers metadata-driven automation to accelerate the creation and maintenance of data sources on virtually any data management platform. by Quest ®. Save My Spot!
In this blog, we will discuss how data catalogs accelerate search & discovery. How metadata accelerates search & discovery. It’s also a repository of metadata — or data about data — on information sources from across the enterprise, including data sets, business intelligence reports, and visualizations. Conclusion.
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. Register Now!
In this blog post we’re revisiting the challenges that come with running Apache NiFi at scale before we take a closer look at the architecture and core features of CDF-PC. This will create a JSON file containing the flow metadata. The post Cloudera DataFlow for the Public Cloud: A technical deep dive appeared first on Cloudera Blog.
Improve data quality by formalizing accountability for metadata. Watch the on-demand webinar with Bob Seiner and the data governance leads at Riot Games , creator of “League of legends” the world’s most-played PC game and most-viewed eSport. Subscribe to Alation's Blog. The data will not govern itself.
In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail. The Power of Social Metadata.
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.
This is a 2-part blog. 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. Alation helps you understand your data assets through valuable metadata. Subscribe to Alation's Blog.
In this blog, I will describe a few strategies one could undertake for various use cases. They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files. This will be discussed in a later blog. The underlying data file locations will not change.
Once you have retrieved the data, NiFi stores it in a queue, which allows you to explore the content and metadata attributes of the events. The post Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design appeared first on Cloudera Blog.
To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management. Watch the Aon webinar to learn how they use the data catalog to balance access with privacy in a competitive landscape. Subscribe to Alation's Blog. Selecting a Data Catalog.
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. Subscribe to Alation's Blog.
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