CIO Business Intelligence

NOVEMBER 28, 2023

To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 131

Management Data Architecture Data Lake Data Strategy 131

Data Virtualization

OCTOBER 5, 2022

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake 52

Data Lake Data Architecture Data Integration Management 52

AWS Big Data

APRIL 29, 2024

In the realm of big data, securing data on cloud applications is crucial. This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. The following diagram illustrates the solution architecture.

Management 92

Management Big Data Metadata Data Warehouse 92

Smart Data Collective

JANUARY 26, 2021

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? That’s the data source part of the big data architecture.

Data Architecture 121

Data Architecture Big Data Data Strategy Data-driven 121

CIO Business Intelligence

FEBRUARY 20, 2024

Where all data – structured, semi-structured, and unstructured – is sourced, unified, and exploited in automated processes, AI tools and by highly skilled, but over-stretched, employees. Legacy data management is holding back manufacturing transformation Until now, however, this vision has remained out of reach.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

AWS Big Data

APRIL 12, 2024

Snowpipe Streaming, a newer feature released in March 2023, is suitable for rowset ingestion (streaming) use cases, such as loading a continuous stream of data from Amazon Kinesis Data Streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK). Straightforward to use with no code – You don’t need to write applications.

Data Architecture 88

Data Architecture IoT Internet of Things Recreation/Entertainment 88

Ontotext

JULY 24, 2023

I did some research because I wanted to create a basic framework on the intersection between large language models (LLM) and data management. I urge early adopters to think of this as an extension of their existing efforts to get the data and associated processes within your organization defined, managed, and governed.

Modeling 98

Modeling Management Structured Data Data Architecture 98

Cloudera

AUGUST 9, 2022

With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. As a leader in hybrid data, Cloudera is positioned to help organizations take on the challenge of managing and analyzing data wherever it resides.

Data Architecture 91

Data Architecture Data Strategy Strategy Data-driven 91

Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture 52

Data Architecture Data Governance Technology Management 52

Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architectures to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture 52

Data Architecture Data Governance Technology Management 52

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

Data Architecture 76

Data Architecture Metadata Data Warehouse Sales 76

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 69

Management Optimization Data Processing Metrics 69

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

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

Strategy 116

Strategy Management Key Performance Indicator ROI 116

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Architecture 59

Data Architecture Internet of Things Data Lake IoT 59

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

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 306

IT Data Architecture Big Data Data Processing 306

TDAN

MARCH 6, 2024

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.

Management 52

Management Technology Data Architecture Data Governance 52

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Alation

JANUARY 9, 2023

But data leaders must work quickly, and use the right tools, to understand, manage, and protect data while complying with related regulations and standards. The Increasing Focus On Data Risk Management. From DCAM To Data Catalog. Download the complete white paper now. Download the complete white paper now.

Risk Management 52

Risk Management Risk Management Metadata 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

TDAN

APRIL 17, 2024

Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] 1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used.

Data Governance 52

Data Governance Data Architecture Data Integration Management 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

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

Data Virtualization

DECEMBER 21, 2023

Reading Time: 2 minutes Data mesh is a modern, distributed data architecture in which different domain based data products are owned by different groups within an organization. And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve.

Data Governance 59

Data Governance Data Architecture Data Integration Management 59

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions.

Data Lake 91

Data Lake Snapshot Metadata Data Architecture 91

erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. After all, you can’t manage or govern what you can’t see, much less use it to make smart decisions. Why Is Data Modeling the Building Block of Enterprise Data Management?

Data Governance 93

Data Governance Modeling Enterprise Management 93

TDAN

NOVEMBER 2, 2021

Modern business is very dependent on data and knowing how to effectively manage this data and get the most from it is crucial for success in the digital age. Data has effectively become the lifeblood of most businesses, but this data is only useful when it is properly catalogued and accessible.

Management 59

Management IT Data Architecture 59

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

Data Virtualization

MARCH 31, 2022

Reading Time: 4 minutes A discussion on All Things Data with Katrina Briedis, Senior Product Marketing Manager (APAC) at Denodo, with a special focus on Data Fabric Approach for Effective Data Management. Listen to “Is Data Fabric the Ideal Approach for Effective Data Management?”

Management 52

Management Data Integration Marketing Data Lake 52

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

Dataiku

OCTOBER 27, 2020

Data architecture is a pivotal element of Enterprise AI. According to Gartner , “Data architecture is returning with vengeance as recent cloud practices have begun to encounter the systems design, data management, and application portfolio issues reminiscent of the 1990s.

Data Architecture 105

Data Architecture Enterprise Management 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

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. Today, we are leading the way in hybrid data.

IT 111

IT Data Architecture Unstructured Data Big Data 111

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Data Architecture 85

Data Architecture Risk Management Risk Management 85