AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs. What Is a Data Product and Who Owns Them?

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

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

AWS Big Data

AUGUST 16, 2023

Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback. Iceberg captures metadata information on the state of datasets as they evolve and change over time. Choose Create.

Data Lake 81

Data Lake Metadata Snapshot Management 81

AWS Big Data

APRIL 25, 2024

This approach allows the team to process the raw data extracted from Account A to Account B, which is dedicated for data handling tasks. This makes sure the raw and processed data can be maintained securely separated across multiple accounts, if required, for enhanced data governance and security. secretsmanager ).

Metadata 108

Metadata Data Processing Management Testing 108

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 85

Data Lake Data Governance Data Architecture Machine Learning 85

Alation

JANUARY 19, 2023

The words “ data governance ” and “fun” are seldom spoken together. The term data governance conjures images of restrictions and control that result in an uphill challenge for most programs and organizations from the beginning. Or they are spending too much time preparing the data for proper use.

Data Governance 94

Data Governance IT Metadata Recreation/Entertainment 94

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

IBM Big Data Hub

DECEMBER 16, 2022

Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance for generative artificial intelligence (AI) and the foundation models that underpin many of these use cases. It’s a fitting way to end what has been another big year for the industry.

Uncertainty 115

Uncertainty Metadata Modeling Data Collection 115

Alation

JANUARY 24, 2023

Next, tailor your data catalog to your users’ technical ability and skill level. An early understanding of these will help you direct resources for all individuals that will access and interact with data. Data is ultimately of no use if it can’t be easily accessed and interpreted.

Metadata 52

Metadata Data-driven Data Governance Metrics 52

Alation

MARCH 1, 2023

And, we have now moved on to getting people engaged with those two other aspects – ensuring that they understand the tech and policies, and understanding how they interact with the data – which is where Alation came in. What are the goals of your data team? Alation was the way that we introduced data stewards into Blockdaemon.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

Alation

JULY 26, 2021

One of the first steps in any digital transformation journey is to understand what data assets exist in the organization. When we began, we had a very technical and archaic tool, an enterprise metadata management platform that cataloged our assets. The people behind the data are key. It was terribly complex.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

datapine

SEPTEMBER 29, 2022

This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle. from the business interactions), but if not available, then through confirmation techniques of an independent nature.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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

erwin

SEPTEMBER 6, 2021

To combat dark data and shine a light on available data, many organizations are turning to data intelligence software. The more complete the picture of an organization’s data landscape, or the less dark data inside, the better IT can manage and protect data as an asset. Data governance teams.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52

erwin

OCTOBER 29, 2020

Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. The State of Data Automation. Data readiness depends on automation to create the data pipeline. We asked participants to “talk to us about data value chain bottlenecks.”

Data Governance 105

Data Governance Metadata ROI Digital Transformation 105

Alation

FEBRUARY 20, 2020

Experts who understand certain datasets often play the stewardship role of ensuring that data consumers can make accurate and effective use of data. More recently, data governance initiatives have started to assign formal stewardship responsibility. How recently the data was updated.

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

IBM Big Data Hub

MAY 9, 2022

As for data delivery at the “right time” automated data engineering tasks, workload balancing and elastic scaling should provide the needed alacrity for all businesses. Data governance and privacy. Automated metadata generation is essential in order to turn a manual process into one that is better controlled.

Management 56

Management Data Quality Metadata Data Integration 56

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

erwin

FEBRUARY 12, 2021

BP modeling and analysis shows process flows, system interactions and organizational hierarchies to identity areas for improvement as well as practices susceptible to the greatest security, compliance or other risks so controls and audits can be implemented to mitigate exposures. Because that is where the GRC and data layers meet.

Risk 98

Risk Slice and Dice Management Enterprise 98

AWS Big Data

MARCH 10, 2023

Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. It enables ACID transactions on tables, allowing for concurrent data ingestion, updates, and queries, all while using familiar SQL.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

O'Reilly on Data

JULY 28, 2020

When a Stitch Fix user interacts with its AI products, they interface with the prediction and recommendation engines. The information they interact with during that experience is an AI product–but they neither know, nor care, that AI is behind everything they see. Prototypes and Data Product MVPs.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

AUGUST 7, 2023

The adoption of mutually trusted technology can assist businesses, customers, partners and government authorities in verifying the existence, authenticity and integrity of interactions among parties. Ensuring the authenticity of data is crucial in preventing potential disputes over authorship in multi-party interactions.

Data Governance 65

Data Governance Manufacturing Interactive IoT 65

TDAN

AUGUST 4, 2020

The coronavirus lockdown prompted a quick shift by many financial institutions to business continuity modes and consumers to online banking interactions. But will this movement ultimately impact information management and governance?

Interactive 83

Interactive Management Metadata Data Strategy 83

Jet Global

JULY 2, 2019

For example, Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed—and do all types of processing and analytics across platforms and languages.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Octopai

FEBRUARY 9, 2021

Automated Data Lineage: Confidence and Control. During data’s journey through your systems, it interacts with other pieces of information, is transformed, interpreted, and utilized in various reports. But the challenge of IFRS 17 data management is an opportunity. Now that’s a good insurance policy.

Insurance 52

Insurance Reporting Metadata Risk 52

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Download the Gartner® Market Guide for Active Metadata Management 1.

Cost-Benefit 95

Cost-Benefit Metadata Data Governance Reporting 95

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. It’s about being able to find relevant data and connect it through a knowledge graph.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Alation

MAY 4, 2023

Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Research and select the right tools for your organization.

Visualization 52

Visualization Metadata Data Governance KPI 52

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52