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. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

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

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 99

Data Lake Data Warehouse Management Risk 99

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 79

Management Risk Measurement Optimization 79

Alation

OCTOBER 5, 2021

Perhaps even more alarming: fewer than 33% expect to exceed their returns on investment for data analytics within the next two years. Gartner further estimates that 60 to 85% of organizations fail in their big data analytics strategies annually (1). Roadblock #2: Data problems and inconsistencies. Data governance and AI.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Ontotext

MAY 30, 2019

And before we move on and look at these three in the context of the techniques Linked Data provides, here is an important reminder in case we are wondering if Linked Data is too good to be true: Linked Data is no silver bullet. 6 Linked Data, Structured Data on the Web. Linked Data and Volume.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Jet Global

JULY 2, 2019

HDInsight: When it comes to Big Data analysis, the open-source Hadoop framework remains one of the most popular options. Ungoverned or uncatalogued data can leave businesses vulnerable both in terms of data quality (and organizational trust in that data), as well as in terms of security, regulatory, and compliance risks.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Ontotext

MAY 30, 2019

And before we move on and look at these three in the context of the techniques Linked Data provides, here is an important reminder in case we are wondering if Linked Data is too good to be true: Linked Data is no silver bullet. 6 Linked Data, Structured Data on the Web. Linked Data and Volume.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

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 79

Management Metadata Testing Internet of Things 79

BI-Survey

FEBRUARY 6, 2020

In fact, most companies struggle with data-related problems , organizational issues or outdated business intelligence and data analytics infrastructures which ignore more current usage scenarios such as explorative analytics on big data sources. Data management has always been a challenge for companies.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Domino Data Lab

JULY 22, 2019

There’s a really nice comfortable blend here of what’s important in business, in engineering, in data science, etc. I definitely want to provide some shout-outs. In data science, definitely, there are other people who’ve talked more about that and we’ll point to them. There’s nothing common.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

erwin

MAY 27, 2020

What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail. Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Alation

JANUARY 25, 2022

Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

erwin

AUGUST 31, 2023

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.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Alation

JULY 6, 2021

Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. These features add context to the data for effective “hands-free” governance. New business terms are auto-added to glossaries, aligning teams on shared definitions. Data Quality.

Data Governance 52

Data Governance Metadata Data Quality Risk 52