CIO Business Intelligence

JULY 18, 2024

Emerging technologies are transforming organizations of all sizes, but with the seemingly endless possibilities they bring, they also come with new challenges surrounding data management that IT departments must solve. This is why data discovery and data transparency are so important.

Management 108

Management Internet of Things IoT Metadata 108

Ontotext

AUGUST 22, 2023

Context: The Key to Making Data Useful It goes without saying that data without meaning can yield incorrect insights, leading to potentially dangerous decisions. Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

CIO Business Intelligence

JULY 10, 2024

With data privacy and security becoming an increased concern, Sovereign cloud is turning from an optional, like-to-have, to an essential requirement, especially for highly protected markets like Government, Healthcare, Financial Services, Legal, etc. This local presence is crucial for maintaining data integrity and security.

Metadata 98

Metadata Data-driven Marketing Measurement 98

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

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 100

Metadata Data Lake Visualization Data Transformation 100

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 Machine Learning 78

O'Reilly on Data

JANUARY 29, 2019

In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”.

Deep Learning 213

Deep Learning Machine Learning Data Science Metadata 213

CIO Business Intelligence

MARCH 4, 2024

This is where data fabric tools with their focus on orchestration, contextual layering, and metadata management are important elements to add to the equation. Data fabric introduces an intelligent semantic layer that orchestrates disparate data sources, applications, and services into a unified and easily accessible framework.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

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

Data Virtualization

SEPTEMBER 5, 2024

This cutting-edge technology, capable of generating outputs such as text, images, music, and other media, is already reshaping industries. The post Harnessing the Power of Generative AI for Your Enterprise appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Enterprise 52

Enterprise Data Integration Optimization Management 52

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Ontotext

JANUARY 26, 2023

KnowWhereGraph is a location-centric knowledge graph of data at the interface between humans and the environment, based on existing standards like RDF, OWL and GeoSPARQL. Motivating the use of knowledge graph technology for environmental data, the authors explain why spatial data requires special treatment.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. Knowledge Graphs are the Warp and Weft of a Data Fabric.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Octopai

FEBRUARY 26, 2024

A Strategic Approach to Data Cleansing With Octopai’s automated data lineage, data cleansing transcends its traditional role, becoming a strategic endeavor that drives efficiency, ensures data integrity, and unlocks business insights.

Metadata 52

Metadata ROI Optimization Data-driven 52

AWS Big Data

JUNE 25, 2024

It provides secure, real-time access to Redshift data without copying, keeping enterprise data in place. This eliminates replication overhead and ensures access to current information, enhancing data integration while maintaining data integrity and efficiency.

Data Lake 111

Data Lake Cost-Benefit Data-driven Data Warehouse 111

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Who are the data owners? Data lineage offers proof that the data provided is reflected accurately.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. Knowledge graphs allow organizations to enrich it with semantic metadata, making it ready to be used across teams and enterprise systems.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

CIO Business Intelligence

SEPTEMBER 6, 2024

As artificial intelligence (AI) and machine learning (ML) continue to reshape industries, robust data management has become essential for organizations of all sizes. This means organizations must cover their bases in all areas surrounding data management including security, regulations, efficiency, and architecture.

Metadata 112

Metadata Enterprise Management Cost-Benefit 112

AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. To address this challenge, organizations can deploy a data mesh using AWS Lake Formation that connects the multiple EMR clusters. An entity can act both as a producer of data assets and as a consumer of data assets.

Data Lake 95

Data Lake Metadata Data Warehouse Data Processing 95

AWS Big Data

SEPTEMBER 10, 2024

AWS Glue, with its ability to process data using Apache Spark and connect to various data sources, is a suitable solution for addressing the challenges of accessing data across multiple cloud environments. Athena can then use this metadata to query and analyze the Delta table seamlessly.

Data Lake 106

Data Lake Metadata Management Software 106

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 145

Data Governance IT Risk Data Lake 145

Ontotext

NOVEMBER 4, 2021

As we’ve said again and again, we believe that knowledge graphs are the next generation tool for helping businesses make critical decisions, based on harmonized knowledge models and data derived from siloed source systems. But these tasks are only part of the story. Graph Path Search with GraphDB 9.9 and metaphactory 4.3.

Metadata 98

Metadata Visualization Modeling Enterprise 98

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. If you score a 70% or higher on all three exams, you’ll be certified at the Mastery level, which demonstrates your ability to lead a team and mentor others, according to TDWI.

Business Intelligence 124

Business Intelligence Data-driven Statistics Data Warehouse 124

Octopai

JUNE 1, 2020

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping. Manual Metadata Management Hinders Compliance.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

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

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

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. Consideration of both data & metadata in the migration.

Data Warehouse 86

Data Warehouse Cost-Benefit Metadata Data-driven 86

Cloudera

FEBRUARY 11, 2019

“Disruption slows as cloud and nonrelational technology take their place beside traditional approaches , the leaders extend their lead, and distributed data approaches solidify their place as a best practice for DMSA.” Established, mature technologies represent an integral part of DMSA.

Management 44

Management Metadata Analytics Machine Learning 44

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 83

Data Governance Data Processing Data Quality Metadata 83

Data Virtualization

DECEMBER 21, 2023

And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve. The post Data Governance in a Data Mesh or Data Fabric Architecture appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Governance 59

Data Governance Data Architecture Data Integration Management 59

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

Octopai

OCTOBER 23, 2019

Getting the data from the old systems to their new counterparts requires extensive, accurate data mapping. – Data integration: As mentioned earlier, unlocking the value in an enterprise’s treasure trove of data means combining data from different sources.

Enterprise 63

Enterprise IT Metadata Consulting 63