IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 84

Management Metadata Data Architecture Data Lake 84

Octopai

OCTOBER 26, 2022

Except sometimes we call organizations “data-driven” when really the data is driving them up the wall. They’re managing the data; they’re governing the data; they’re so busy being on top of their data that they’re not actually using their data. Don’t just manage data. And it should be.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 82

Management Risk Measurement Optimization 82

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Manage policies and rules. Govern PII “in motion”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines.

Metadata 77

Metadata Data Lake Data Processing Data-driven 77

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Octopai

APRIL 19, 2021

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 52

Metadata Management Business Intelligence Data Governance 52

Ontotext

MAY 22, 2023

At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. LLM will not replace knowledge graphs either.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

SEPTEMBER 1, 2023

Sun has a PhD from MIT and continued to publish academic research papers during his time at Microsoft, in addition to teaching at Seattle and Washington universities. Sun’s team will include two VPs of AI technology, Sebastian Wieczorek and Ulf Brackmann; a CTO, Johannes Hoffart, and a global AI product manager, Nadine Hoffmann.

IT 105

IT Reporting Forecasting Data Quality 105

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program. Focus on value,” she says.

Data Governance 104

Data Governance Data Quality Data Collection Manufacturing 104

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Tips for Improving Risk Management When Handling Big Data. Vendor Risk Management (VRM).

Risk Management 70

Risk Management Risk Management Big Data 70

erwin

MARCH 30, 2020

Managing and Governing Data From Lots of Disparate Sources. Collecting and managing data from many disparate sources for the Covid-19 High Performance Computing Consortium is on a scale beyond comprehension and, quite frankly, it boggles the mind to even think about it. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

Ontotext

FEBRUARY 12, 2024

Although the enterprise data landscape is littered with new data technology and offerings, the most pressing problem data teams face today isn’t a lack of technology or skills; it’s not knowing how to create a modern data experience. Why Data Mesh?

IT 64

IT Metadata Data Quality Data Lake 64

AWS Big Data

APRIL 4, 2024

Griffin is an open source data quality solution for big data, which supports both batch and streaming mode. In today’s data-driven landscape, where organizations deal with petabytes of data, the need for automated data validation frameworks has become increasingly critical. Choose Create stack.

Data Quality 63

Data Quality Data Lake Data Warehouse Data-driven 63

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

Cloudera

MARCH 3, 2022

The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee. In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally. From Bad to Worse.

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

Ontotext

MARCH 27, 2024

They also don’t have features for enterprise data management such as schema language, data validation capabilities, interoperable serialization formats, or a proper modeling language. LPG lacks schema and semantics, which makes it inappropriate for publishing and sharing of data. This makes LPGs inflexible.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

O'Reilly on Data

JUNE 18, 2019

As model building become easier, the problem of high-quality data becomes more evident than ever. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Data integration and cleaning.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

Ontotext

FEBRUARY 12, 2024

Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage. Establish and enforce data governance by ensuring all data used is accurate, complete, and compliant with regulations. This calls for additional planning, documentation, and testing.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

IBM Big Data Hub

MARCH 25, 2022

Automated data enrichment : To create the knowledge catalog, you need automated data stewardship services. These services include the ability to auto-discover and classify data, to detect sensitive information, to analyze data quality, to link business terms to technical metadata and to publish data to the knowledge catalog.

Metadata 109

Metadata Data Quality Data Governance Data Integration 109

IBM Big Data Hub

JANUARY 8, 2024

Stage 3—Socialization and management An increase in adoption drives a need for better management of event socialization and exposure. IBM provides an Event Streams capability build on Apache Kafka that makes events manageable across an entire enterprise. How will workloads be managed to avoid swamping backend systems?

Data-driven 76

Data-driven Management Advertising Enterprise 76

erwin

AUGUST 31, 2023

It sits at a critical juncture in the data lifecycle where business data requirements turn into accurate and usable business data and data management infrastructure. Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. Data Scientists and related positions will shift to support the use of AI in a strategic environment, and to manage data, models, connectors and translators.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

IBM Big Data Hub

JULY 28, 2022

This feature significantly increases the productivity of the data stewards who provide business context to data by ensuring data quality, usefulness and protection for broader consumption. A data fabric is an architectural approach to simplify data access in an organization to facilitate self-service data consumption.

Metadata 56

Metadata Data Quality Machine Learning Statistics 56

IBM Big Data Hub

SEPTEMBER 15, 2023

These disclosures will need to be filed as part of the company annual 10-K statements, potentially as soon as the 2024 fiscal year if the final ruling is published by October 2023 as currently expected. For example, the regulated disclosures could be anything from estimates around Scope 3 emissions, to investor-grade data.

Risk 76

Risk Reporting Data-driven Publishing 76

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.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

datapine

SEPTEMBER 27, 2022

Structured Query Language (SQL) is the most popular language utilized to create, access, manipulate, query, and manage databases. But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

JULY 27, 2023

Then the claims data is ingested into the catalog (so it’s visible to analysts), after enriching it with some relevant details about the corresponding medical providers coming from a separate source. Claim Amount values will likely be used for some calculations, so convert to number, and Claim Data should be converted to date type.

Visualization 85

Visualization Cost-Benefit Data Quality Interactive 85

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

TDAN

DECEMBER 20, 2022

It has been eight years plus since the first edition of my book, Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success, was published by long-time TDAN.com contributor, Steve Hoberman, and his publishing company Technics Publications. That seems like a long time ago.

Data Governance 91

Data Governance Publishing Data Quality IT 91

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Solutions should be flexible to scale up and down.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Jedox

NOVEMBER 19, 2020

In this blog we take a closer look at the recently published BARC study “Sound Decisions in Dynamic Times.” The improvement in data quality follows with 53%. This finding is in line with what US-based FP&A expert Brian Kalish recently stated in his guest blog on data analysis : Data is abundant.

Forecasting 89

Forecasting Reporting Data Quality Marketing 89

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Model risk management. autonomous vehicles, smart buildings, and smart cities) will need to manage risks in the aggregate.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

DataKitchen

FEBRUARY 21, 2023

We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing. The top-line result was that 97% of data engineers are feeling burnout. Errors have caused the company’s leaders to lose confidence in the data products their team produces.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Ontotext

JANUARY 26, 2023

This might include a range of tasks such as searching weather conditions on an app, looking at the temperature at home, reviewing electricity usage on a dedicated web platform, all the way to managing and utilizing data in a professional system at work. And this is what semantic data management is about.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

Ontotext

MAY 9, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. Today delivering this RWD is costly: it requires a lot of manual work often managed by specialized companies.

Technology 52

Technology Cost-Benefit Statistics Publishing 52