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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.
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.
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.
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!
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.”.
This metadata is ingested into the data catalog, definitions are added within a business glossary, and the searchable repository enables users to understand how data is used and stored. Watch the full webinar. Data Intelligence Just Got Smarter. erwin just released a new version of erwin DI.
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.
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.
Metadata Management is the Key to Successful Data Governance Learn more in the webinar, "Metadata Management Automation for the Governance Minded" Watch the Webinar! BCBS 239 and Automated Metadata Management Tools. You may recognize the common thread running through all of these principles: Metadata.
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. Now, let’s say a few words about each of them.
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?
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.
This is in stark contrast to the vast number of organizations that previously utilized on-premise discovery solutions and metadata management tools. More than any other BI metadata management tool out there, cloud automation offers the best way for teams to connect remotely and manage projects.
Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19." Watch the Webinar.
This year, that will change as semantic metadata comes into its own driven by Microsoft’s Common Data Model (CDM). Metadata and its management and governance are key to organizations being able to fully harness the benefits of their data. Click here to learn more and register.
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.
A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program. The person asking the question shared their opinion that people in these roles must play a […].
Data and metadata are the glue that connects all these different hybrid system components. Dive Deeper into How Advanced Lineage Can Improve Your Hybrid BI Environment Check out our webinar for more tips and insights Watch the Webinar. But tracking data through this type of environment can get rather… sticky. .
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.
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.
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).
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?
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.
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. Watch the webinar! appeared first on Octopai.
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. .
Parquet also stores type metadata which makes reading back and processing the files later slightly easier. On June 3, join the NVIDIA and Cloudera teams for our upcoming webinar Enable Faster Big Data Science with NVIDIA GPUs. The raw data is in a series of CSV files. Run the `convert_data.py` script. Register Now. .
Learn more about the role metadata management automation plays in improving the success of Data Governance. Check out the webinar here. Data governance solutions for data compliance solve this problem by tracking metadata. Metadata data governance also simplifies compliance efforts in audit situations.
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. Impala can access Hive table metadata fast because HMS is backed by RDBMS, such as mysql or postgresql.
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.
Data lineage is crucial to every data user, but even more so in the Financial industry Find out why in our latest webinar, "The Essential Guide to Data Lineage in 2021" Watch It Now. The problem is that many companies are unequipped to do so with their current enterprise metadata management systems.
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. In other words, we sought to build a data culture and needed some guidance. About American Family Insurance.
The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. We have had the pleasure of partnering with him for webinars and he always brings a new perspective and interesting insights. Agile Data.
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.
The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. A Note on Iceberg materialized view specification Currently, the metadata needed for materialized views is maintained in Hive Metastore and it builds upon the materialized views metadata previously supported for Hive ACID tables.
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.
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.
Support for unstructured audio and video data The addition of support for unstructured audio and video content will help enterprises extract and analyze customer data from previously inaccessible audio and video sources like customer calls, training sessions, product demos, feedback surveys, voicemails, and webinars, Auradkar explained.
They collected insights from 293 business and IT professionals across a wide range of industries, shining light on why automation metadata operations and the business glossary are priorities for organizations today. Another BI challenge comes from everyday metadata management operations. Manual Processes Frustrate BI Professionals.
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 first generation of the Hive Metastore attempted to address the performance considerations to run SQL efficiently on a data lake.
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 first generation of the Hive Metastore attempted to address the performance considerations to run SQL efficiently on a data lake.
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. Like Google, modern data search & discovery leverages metadata to deliver the best results.
Watch our webinar to hear how your peers are doing it! Download the webinar. Octopai specialists looked at the discrepancies in the various databases and devised an automated data lineage solution that utilized metadata analysis to trace where the data originated and the paths it had taken to reach its current location.
For example: Data cataloging – Organization’s implementing a data governance framework will benefit from automated metadata harvesting, data mapping, code generation and data lineage with reference data management, lifecycle management and data quality. FREE WEBINAR]. Data Governance: Implementation and Evolution.
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