Jim Harris

MAY 5, 2017

Spelling, pronunciation, and examples of usage are included in the dictionary definition of a word, which is a good example of one of the many uses of metadata, namely to provide a definition, description, and context for data. In practice, I haven’t encountered a metadata dictionary that could deliver on that promise.

Metadata 61

Metadata Publishing Management IT 61

AWS Big Data

DECEMBER 13, 2023

The AWS Glue Studio visual editor is a low-code environment that allows you to compose data transformation workflows, seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine, and inspect the schema and data results in each step of the job.

Metadata 86

Metadata Data Lake Visualization Data Transformation 86

erwin

MARCH 30, 2020

These numerous data types and data sources most definitely weren’t designed to work together. As a result, the data may be compromised, rendering faulty analyses and insights. Unraveling Data Complexities with Metadata Management. Data profiling for data assessment, metadata discovery and data validation.

Metadata 122

Metadata IT Data Governance Data Quality 122

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Data Quality Metadata Data Governance 52

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. Monitoring Job Metadata.

Testing 157

Testing Metadata Dashboards Statistics 157

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

erwin

DECEMBER 3, 2020

Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. Using erwin DI, customers are powering comprehensive data governance initiatives, cloud migration and other massive digital transformation projects.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We had data but no data intelligence and, as a result, insights remained hidden or hard to come by. This universe of metadata represents a treasure trove of connected information.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

AWS Big Data

DECEMBER 18, 2023

There are multiple tables related to customers and order data in the RDS database. Amazon S3 hosts the metadata of all the tables as a.csv file. This is especially true when you are processing millions of items and you expect data quality issues in the dataset.

Metadata 119

Metadata Visualization Data Lake Data-driven 119

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Assess Data Quality.

Management 52

Management Data Quality Metadata Testing 52

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. RDF is used extensively for data publishing and data interchange and is based on W3C and other industry standards.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. Love thy data: data are never perfect, but all the data may produce value, though not immediately. Clean it, annotate it, catalog it, and bring it into the data family (connect the dots and see what happens).

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

CIO Business Intelligence

MARCH 4, 2024

Harmonizing these data sets with centralized enterprise data faces increasing challenges as shifts to data definitions, schema, and architecture require constant central data team efforts. To deliver a cohesive data strategy, seamless data access and sharing requires the breaking down of data silos.

Insurance 93

Insurance Strategy Data Governance Data Integration 93

Octopai

MAY 31, 2022

The ultimate data organizational tool, letting any data user in your organization easily see what data assets you have and all the pertinent details about them, is a data catalog. Bonus tool: active metadata management. An active metadata management tool adds a maître d’ to self-serve analytics.

Management 52

Management Metadata Business Intelligence ROI 52

TDAN

SEPTEMBER 7, 2022

Fit for Purpose data has been a foundational concept of Data Governance for as long as I’ve been in the field…so that’s 10-15 years now. Most data quality definitions take Fit-for-Purpose as a given.

Data Governance 59

Data Governance Data Quality Metadata Management 59

erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Ontotext

FEBRUARY 7, 2024

We have a schema definition and every variable should have an identifier. So, on one hand, we can see our schema as a vocabulary that has different names and different standards, and, on the other, we can see it as a metadata object. The terminology sets formed by these concepts should also have identifiers.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Octopai

FEBRUARY 9, 2023

It’s not easy to keep up with data and metadata on the move. A comprehensive data lineage tool is the secret weapon of successful data governance managers and data stewards. Let’s take a look at four major areas where data lineage will improve your performance a hundredfold if you are in data governance.

Data Governance 52

Data Governance Metadata Data Quality Management 52

Alation

FEBRUARY 13, 2020

These are all good questions and a logical place to start your data cataloging journey. This brief definition makes several points about data catalogs—data management, searching, data inventory, and data evaluation—but all depend on the central capability to provide a collection of metadata.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Alation

MARCH 11, 2022

A data catalog with a Behavioral Analysis Engine will measure human behavior around data to locate your most valuable and actionable data. This data about data, AKA metadata , is an essential layer of your new meshy fabric. Again, a data catalog can automate the tedium of compliance at scale.

Metadata 52

Metadata Data Governance ROI Data Quality 52

Cloudera

SEPTEMBER 15, 2022

What is a data fabric? Mark: Gartner states that a data fabric “enables frictionless access and sharing of data in a distributed data environment.” The data fabric provides direct support for the first element of the architecture — linking the distributed source data into the hybrid, multi-cloud environment. .

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

CDW Research Hub

MAY 29, 2019

Start meeting, strategizing, and creating the justification for data governance. Agree on a definition of data governance for organization. Identify where your company currently stands in data governance, while keeping in mind your master data management plan, data quality goals, data stewardship, data lineage, and metadata.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

erwin

APRIL 15, 2020

In regard to third-party data, we should ask ourselves: How was the data created? Does the definition (description, classification, allowable range of values, etc.) of incoming, individual data elements match our internal definitions of those data elements? What formulas were used?

Data Governance 134

Data Governance Metadata Testing Reporting 134

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. So questions linger about whether transformed data can be trusted. Data Quality Obstacles.

Data Governance 40

Data Governance Risk Metadata Management 40

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Ontotext

JULY 29, 2021

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. The RDF data model and the other standards in W3C’s Semantic Web stack (e.g.,

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

DataRobot Blog

MAY 10, 2022

With this definition of model risk, how do we ensure the models we build are technically correct? The first step would be to make sure that the data used at the beginning of the model development process is thoroughly vetted, so that it is appropriate for the use case at hand. To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

Ontotext

JANUARY 6, 2021

That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency. Once that is done, data can be transformed and enriched with metadata to facilitate analysis. Knowledge graphs help with data analysis in a number of ways.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Cloudera

AUGUST 31, 2021

Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. Smart DwH Mover helps in accelerating data warehouse migration.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Alation

OCTOBER 5, 2021

For example, it may be helpful to track specific daily activities or benchmarks for all data-related processes. Numerous committees spend hours deliberating over every word in a Glossary definition, then 6 months down the line leaders complain there hasn’t been enough value shown. Roadblock #2: Data problems and inconsistencies.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

AWS Big Data

AUGUST 14, 2023

Some principles for the management of data mesh evolution, and the evaluation of data products against organizational goals, are explored later in this post. Data products vs. data definitions The following figure illustrates how data definitions are defined and inherited throughout the lineage of data products.

Management 77

Management Risk Measurement Optimization 77

Octopai

JANUARY 31, 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. Agile Data. Another podcast we think is worth a listen is Agile Data. In terms of data lineage, they offer an excellent definition here. .

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

DataKitchen

JUNE 24, 2021

Bergh added, “ DataOps is part of the data fabric. You should use DataOps principles to build and iterate and continuously improve your Data Fabric. Their definition of DataOps was that we do some automation and check a record count. Automate the data collection and cleansing process. Education is the Biggest Challenge.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Anmut

OCTOBER 29, 2020

This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions? As a result, concerns of data governance and data quality were ignored.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

AWS Big Data

JUNE 12, 2023

It’s important to note that the schema in the Data Catalog table serves as the source of truth for the AWS Glue streaming job. Therefore, it’s crucial to keep the schema definition in the Schema Registry and the Data Catalog table in sync. Upon success, update the AWS Glue Data Catalog table using the updated schema.

Management 77

Management Metadata Testing Internet of Things 77

AWS Big Data

MARCH 1, 2024

For users accessing the data in data lake using Amazon Redshift Spectrum, we’ll use Lake Formation policies for access control. An AWS Glue Crawler scans the above files and catalogs metadata about them into the AWS Glue Data Catalog. Select Create database , as shown in the following screenshot.

Data Lake 98

Data Lake Data Warehouse Management Risk 98