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. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. In IT, we often talk about the layers of a technology stack.

Manufacturing 80

Manufacturing Data Architecture Strategy Data Strategy 80

IBM Big Data Hub

JANUARY 5, 2023

Next generation of big data platforms and long running batch jobs operated by a central team of data engineers have often led to data lake swamps. 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

David Menninger's Analyst Perspectives

OCTOBER 7, 2021

The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal.

Technology 246

Technology Management Data Lake IT 246

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. This is especially helpful when handling massive amounts of big data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Data Virtualization

MARCH 28, 2024

As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 69

Finance Digital Transformation Analytics Data Integration 69

Data Virtualization

JUNE 8, 2023

Reading Time: 3 minutes Artificial intelligence (AI) technologies are poised to bring about a revolution in the business world. Disruptive, large language model (LLM) technologies like ChatGPT, OPT, CodeGen, and PaLM 2 are about to transform both the way we communicate with applications and.

Data Integration 52

Data Integration Technology Modeling Management 52

Data Virtualization

MARCH 23, 2023

Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology. Innovative new technologies are redefining the sector, shaping the services that financial organizations offer, the ways in which they interact with consumers, and the ways in which they apply.

Interactive 52

Interactive Data Integration Technology Management 52

Data Virtualization

MARCH 23, 2023

Reading Time: 3 minutes The financial services sector is accelerating its adoption of digital technology. Innovative new technologies are redefining the sector, shaping the services that financial organizations offer, the ways in which they interact with consumers, and the ways in which they apply.

Interactive 52

Interactive Data Integration Technology Management 52

Data Virtualization

MARCH 18, 2024

Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to.

Insurance 52

Insurance Data Integration Management Data Lake 52

Data Virtualization

JUNE 22, 2023

The Denodo Platform is a logical data management platform, powered by. The post Denodo Joins Forces with Presto appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management Data Lake Metadata 52

Data Virtualization

NOVEMBER 24, 2022

Reading Time: 4 minutes My previous post explained that, in my mind, the data lakehouse differs hardly at all from the traditional data warehouse architectural design pattern (ADP). It consists largely of the application of new cloud-based technology to the same requirements and constraints.

Data Warehouse 52

Data Warehouse Data Integration Technology Management 52

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

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

MAY 28, 2024

Delivering the most business value possible is directly linked to those decisions and the data and insights that inform them. It’s not enough for businesses to implement and maintain a data architecture.

Data Architecture 88

Data Architecture Data Lake Data Warehouse Cost-Benefit 88

Alation

JANUARY 13, 2022

Thoughtworks says data mesh is key to moving beyond a monolithic data lake. Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Thoughtworks says data mesh is key to moving beyond a monolithic data lake 2. Gartner on Data Fabric.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 90

Optimization B2B Data Quality Sales 90

Data Virtualization

SEPTEMBER 16, 2020

Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.

Big Data 59

Big Data Internet of Things Analytics IT 59

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 77

Data-driven Data Lake Data Warehouse Cost-Benefit 77

CIO Business Intelligence

MARCH 22, 2022

Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Set up unified data governance rules and processes.

Analytics 94

Analytics Key Performance Indicator Data Warehouse Data-driven 94

BI-Survey

AUGUST 21, 2020

Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. But what are the right measures to make the data warehouse and BI fit for the future? What role do technology and IT infrastructure play? Can the basic nature of the data be proactively improved?

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Data Virtualization

JANUARY 30, 2019

In this article, I will discuss the complexity of data migration when transitioning to a new system, based on the traditional ways of working. I will explain why data virtualization can play a role in taking away this complexity, for. The post How Much Time Could Your Company Save If You Said Goodbye to Data Migration?

Management 40

Management Data Lake Data Warehouse Data Integration 40

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

AWS Big Data

MAY 19, 2023

Organizations across all industries have complex data processing requirements for their analytical use cases across different analytics systems, such as data lakes on AWS , data warehouses ( Amazon Redshift ), search ( Amazon OpenSearch Service ), NoSQL ( Amazon DynamoDB ), machine learning ( Amazon SageMaker ), and more.

Machine Learning 82

Machine Learning Metrics Big Data Management 82

AWS Big Data

NOVEMBER 13, 2023

Also hear from customer speakers with real-world examples of how they’ve used their data to support their generative AI use cases and create new experiences for their customers. KEY005 | Dr. Werner Vogels (Vice President and Chief Technology Officer, Amazon.com) | Nov.

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

erwin

AUGUST 31, 2023

In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. The history The history of data modeling traces back to the early days of computing when databases were first developed.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

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