AWS Big Data

APRIL 29, 2024

This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. We show how Ranger integrates with Hadoop components like Apache Hive, Spark, Trino, Yarn, and HDFS, providing secure and efficient data management in a cloud environment.

Management 103

Management Big Data Metadata Data Warehouse 103

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 93

Strategy Data Architecture Cost-Benefit Reporting 93

IBM Big Data Hub

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. The journey starts with sound data.

Marketing 121

Marketing Strategy B2B Cost-Benefit 121

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management.

Management 68

Management Optimization Data Processing Metrics 68

CIO Business Intelligence

MARCH 9, 2022

Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud.

Strategy 145

Strategy Consulting Risk Testing 145

CIO Business Intelligence

JUNE 20, 2022

It shows how we will use the power of data to bring benefits to all parts of health and social care.”. Greater control over patient data, and pioneering research with TREs. The strategy also introduced so-called trusted research environments (TRE).

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Alation

MARCH 1, 2023

It’s the basis for cryptocurrency, but also has applications in virtually every industry, from finance (capital markets) to retail (supply chain management) and health sciences (medical drug development). How are blockchain organizations tackling data management? What is your data strategy and how did you begin to implement it?

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

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

CIO Business Intelligence

SEPTEMBER 26, 2023

billion searches per day — one would be hard pressed to identify specific strategies for creating value with information. It is high time to get serious about information management. Not information technology — information management. This begs the question of information strategy. Technology does not equal progress.

Strategy 124

Strategy Data Architecture Metrics Management 124

TDAN

JULY 6, 2021

Corporate survival will need a solid corporate strategy with an accompanying data strategy. Having a data strategy will enable data-driven decisions.

Data Strategy 52

Data Strategy Strategy Data-driven Data Architecture 52

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Management Strategy Data Lake 75

TDAN

MAY 3, 2022

This column focuses on challenges of edge computing and explore strategy considerations for implementing and utilizing edge computing in the organization.

Strategy 52

Strategy Cost-Benefit Management Data Architecture 52

Cloudera

MARCH 28, 2024

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges. Let’s explore some of the most important findings that the survey uncovered.

Data Architecture 89

Data Architecture Strategy Data Lake Data-driven 89

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. That strategy is doomed to fail. What are the layers?

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 59

Management Enterprise Strategy IT 59

Cloudera

JUNE 7, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Where data flows, ideas follow.

IT 108

IT Data Architecture Unstructured Data Big Data 108

CIO Business Intelligence

APRIL 24, 2024

But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I The CIO has to add value to the business; he isn’t just the IT manager, managing servers and networks and associated costs,” Roero says.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

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

TDAN

FEBRUARY 14, 2023

Data management is becoming increasingly important for organizations of all sizes as the need to track, store, and analyze data grows. Learn how to […]

Management 59

Management Data Architecture Data Governance Data Strategy 59

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. How is data, process, and model drift managed for reliability?

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

JUNE 23, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. But this is not your grandfather’s big data.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 52

Management Enterprise Strategy IT 52

TDAN

APRIL 16, 2019

The phrase “data architecture” often has different connotations across an organization depending on where their job role is. For instance, most of my earlier career roles were within IT, though throughout the last decade or so, has been primarily working with business line staff.

Data Architecture 40

Data Architecture IT Data Quality Data Governance 40

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

TDAN

APRIL 6, 2021

Cloud deployment strategies…. Deploying a Machine Learning model to enhance the quality of your company’s analytics is going to take some effort: – To clean data– To clearly define objectives– To build strong project management Many articles have been […]. Machine learning model…. BANG ZOOM WOW!!

Machine Learning 52

Machine Learning Management Strategy Modeling 52

CIO Business Intelligence

NOVEMBER 21, 2022

Put simply, organizations with “better” data management and use it more effectively, win in the market. Mr. Thompson started the podcast with an example that drives home the differences between how data and currency are managed in companies today. Data Architecture The CIO knows this is not the case.

Data Architecture 122

Data Architecture Management Strategy Marketing 122

erwin

JUNE 19, 2020

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

Cloudera

DECEMBER 1, 2023

One notable example of a government initiative that has shaped the AI landscape is the United States’ federal AI strategy. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. This strategy has spurred a wave of AI innovation within the public sector.

Data Governance 105

Data Governance Data-driven Strategy Data Architecture 105

CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture.

IT 135

IT Experimentation IoT Data-driven 135

CIO Business Intelligence

JULY 19, 2023

As software and data move to the center of a company’s products and services, the background and skills of the executive leadership team must evolve. When IoT becomes the driver of a new solutions P&L, the general manager of that business will need more technology acumen than general managers of the past.

IoT 92

IoT Manufacturing Software Strategy 92

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. But not just the public cloud.

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

CIO Business Intelligence

AUGUST 17, 2022

Released today, The State of the Data Race 2022 is a summary of important new research based on an in-depth survey of more than 500 technology leaders and practitioners across a variety of industries about their data strategies. Of these organizations, 42% say that real-time data has a “transformative impact” on revenue growth.

Data Architecture 111

Data Architecture Strategy Data-driven Data Strategy 111

CIO Business Intelligence

JUNE 24, 2022

Almost 22% of respondents in the APAC region have said that lack of alignment between IT and business outcomes is one of the biggest challenges an organization faces when executing its software strategy, despite having fewer budget constraints compared to more developed regions such as North America and Europe. Digital Transformation

Modeling 105

Modeling Digital Transformation Data Architecture Data-driven 105