erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Jen Stirrup

MARCH 29, 2023

Despite technological advances, businesses still need help working with data. Data is complex, and companies often need to catch up on what they are trying to achieve. They are also starting to realize – and accept – that data is challenging. What does a sound, intelligent data foundation give you?

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

IBM Big Data Hub

SEPTEMBER 12, 2022

As these types ANPRMs continue to be released and regulation swiftly catches up to innovation, a recent Gartner survey predicts that 75% of the world’s population will have its personal data covered under modern privacy regulations by the end of 2024. Build a foundation using a common catalog and metadata.

Metadata 92

Metadata Data Governance Enterprise Data Architecture 92

erwin

JANUARY 30, 2020

Constructing a Digital Transformation Strategy: How Data Drives Digital. I’m encouraged by these results as it tells us that enterprises are really beginning to embrace the power of data to shape their organizations. And close to 50 percent have deployed data catalogs and business glossaries. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Ontotext

MAY 16, 2024

Industry analyst reports place contextualized information and graph technologies at the center of their impact radar for emerging technologies. Acknowledging the significance of how these critical enablers define, contextualize, and constrain data for consistency and trust, is all part of the maturity process for today’s enterprise.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

Ontotext

FEBRUARY 7, 2024

However, what we usually don’t talk about when generating an asset, are the huge invisible or unplanned costs occurring at a later stage when the data needs to be made available for analysis or secondary usage. As a result, a big portion of the IT capacity in Pharma is bound by data integration.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Octopai

FEBRUARY 26, 2024

Revolutionizing Data Management: Octopai’s Role in Data Cleansing and Business Efficiency In the digital age, where data is ubiquitously hailed as the new oil, its management goes beyond mere cleanliness to encompass strategic asset optimization.

Metadata 52

Metadata ROI Optimization Data-driven 52

Ontotext

MARCH 23, 2023

At the same time, there are more demands for data to be used in real-time and for businesses to have a better understanding of it. In addition, there is a growing trend of automating data integration and management processes. All this makes it difficult to navigate the enterprise data landscape and stay ahead of the competition.

Management 52

Management Metadata Unstructured Data Data Integration 52

erwin

OCTOBER 8, 2020

The desire to modernize technology, over time, leads to acquiring many different systems with various data entry points and transformation rules for data as it moves into and across the organization. Regulatory compliance is also a major driver of data governance (e.g., GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Ontotext

SEPTEMBER 15, 2020

‘Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies. What does a business intelligence analyst do?

Business Intelligence 124

Business Intelligence Data-driven Statistics Data Warehouse 124

CIO Business Intelligence

FEBRUARY 2, 2024

As data and analytics become the beating heart of the enterprise, it’s increasingly critical for the business to have access to consistent, high-quality data assets. Master data management (MDM) is required to ensure the enterprise’s data is consistent, accurate, and controlled. for 180 days access.

Management 104

Management Data Governance Cost-Benefit Testing 104

erwin

FEBRUARY 6, 2020

Here are our eight recommendations for how to transition from manual to automated data management: 1) Put Data Quality First: Automating and matching business terms with data assets and documenting lineage down to the column level are critical to good decision making. Superior data movement job designs based on best practices.

Management 144

Management Data Governance Cost-Benefit Metadata 144

Alation

JANUARY 25, 2022

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. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Metrics Data-driven 52

CIO Business Intelligence

APRIL 29, 2022

As someone who is passionate about the transformative power of technology, it is fascinating to see intelligent computing – in all its various guises – bridge the schism between fantasy and reality. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation.

Data Governance 140

Data Governance IT Risk Data Lake 140

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data integration.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Ontotext

JANUARY 25, 2024

Not surprisingly, the last decade has witnessed a paradigm shift in enterprise data management, leading to a rise in leveraging knowledge graphs. Providing unified information access, flexible data integration and automation of data management tasks, knowledge graphs have a huge impact on many systems and processes across various industries.

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64

Alation

AUGUST 11, 2022

In the technology industry, even the most incremental trends often get framed in next-generation terminology. DataOps sprung up to connect data sources to data consumers. The data warehouse and analytical data stores moved to the cloud and disaggregated into the data mesh. Tools became stacks.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

erwin

FEBRUARY 4, 2021

So what’s holding organizations back from fully using their data to make better, smarter business decisions? Data Governance Bottlenecks. It uncovered a number of obstacles that organizations have to overcome to improve their data operations. Put data quality first : Users must have confidence in the data they use for analytics.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

AWS Big Data

AUGUST 31, 2023

Iceberg stores the metadata pointer for all the metadata files. When a SELECT query is reading an Iceberg table, the query engine first goes to the Iceberg catalog, then retrieves the entry of the location of the latest metadata file, as shown in the following diagram.

Data Lake 93

Data Lake Data Warehouse Metadata Data Architecture 93

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. We also used AWS Lambda for data processing.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Alation

DECEMBER 8, 2022

But by reviewing the offerings of the leading 18 vendors, Forrester Research’s new report, The Data Governance Solutions Landscape, Q4 2022 , can help you narrow your options based on core and extended features, size, and industry focus. Data Governance: Not Just a Defensive Strategy. Data privacy and protection.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

AUGUST 7, 2023

They are easier to use and can reduce operational and development costs compared to decentralized ledger technologies. However, existing blockchain databases lack efficient tools for multiple parties to control shared data on the ledger. However, the presence of a trusted party does not imply blind trust from other participants.

Data Governance 63

Data Governance Manufacturing Interactive IoT 63

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face. What is a dimensional data model? It optimizes the database for faster data retrieval.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

Octopai

JANUARY 31, 2021

Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. Agile Data. A-Team Insight. Techcopedia.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Cloudera

JUNE 6, 2019

While this approach provides isolation, it creates another significant challenge: duplication of data, metadata, and security policies, or ‘split-brain’ data lake. Now the admins need to synchronize multiple copies of the data and metadata and ensure that users across the many clusters are not viewing stale information.

Metadata 86

Metadata Data Lake Optimization Strategy 86

AWS Big Data

NOVEMBER 29, 2023

Maximize value with comprehensive analytics and ML capabilities “Amazon Redshift is one of the most important tools we had in growing Jobcase as a company.” – Ajay Joshi, Distinguished Engineer, Jobcase With all your data integrated and available, you can easily build and run near real-time analytics to AI/ML/Generative AI applications.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

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. Creating a High-Quality Data Pipeline.

Data Governance 40

Data Governance Risk Metadata Management 40

Cloudera

FEBRUARY 11, 2019

Also, its ability to develop a product strategy that meets the market’s requirements, to comprehend overall market trends, and to influence or lead the market when necessary. Established, mature technologies represent an integral part of DMSA. Moving processing to data creates the need for multi-cloud.

Management 43

Management Metadata Analytics Machine Learning 43

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. Other Technologies. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Machine Learning Technology. The challenge? Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

IBM Big Data Hub

SEPTEMBER 20, 2022

Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. This is where technology such as IBM FactSheets , can help by reducing the manual labor needed to capture metadata and other facts about a model across stages of the AI lifecycle.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

AWS Big Data

OCTOBER 11, 2023

Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Architecture overview The architecture uses AWS serverless technology for the implementation. Then you can use Amazon Athena V3 to query the tables in the Data Catalog.

Visualization 97

Visualization Dashboards Data-driven Gap analysis 97