DataKitchen

NOVEMBER 5, 2024

This architecture is valuable for organizations dealing with large volumes of diverse data sources, where maintaining accuracy and accessibility at every stage is a priority. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer ?

Data Quality 195

Data Quality Testing Metrics Reporting 195

AWS Big Data

SEPTEMBER 11, 2024

This blog post is co-written with Hardeep Randhawa and Abhay Kumar from HPE. This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS. 2 GB into the landing zone daily.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

Data Virtualization

SEPTEMBER 21, 2023

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.

Management 105

Management Data Architecture Data Integration Data-driven 105

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

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

Data Virtualization

APRIL 10, 2025

Citizens expect efficient services, The post Empowering the Public Sector with Data: A New Model for a Modern Age appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In this dynamic environment, time is everything.

Modeling 59

Modeling Data Integration Management Data Architecture 59

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

DECEMBER 4, 2024

With this launch, you can query data regardless of where it is stored with support for a wide range of use cases, including analytics, ad-hoc querying, data science, machine learning, and generative AI. We’ve simplified data architectures, saving you time and costs on unnecessary data movement, data duplication, and custom solutions.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. Security Data security is a high priority.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Data Virtualization

DECEMBER 20, 2024

The post My Reflections on the Gartner Hype Cycle for Data Management, 2024 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. Gartner Hype Cycle methodology provides a view of how.

Management 52

Management Data Integration Technology Data Architecture 52

Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Data Integration 52

Data Integration Data-driven Data Processing Management 52

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Data Virtualization

AUGUST 23, 2024

The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In previous posts, I spoke.

Data Integration 98

Data Integration Modeling Management Data Architecture 98

DataKitchen

DECEMBER 20, 2020

The DataOps Engineering skillset includes hybrid and cloud platforms, orchestration, data architecture, data integration, data transformation, CI/CD, real-time messaging, and containers. The role of the DataOps Engineer goes by several different titles and is sometimes covered by IT, dev, or analyst functions.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

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

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

erwin

JANUARY 9, 2020

Deploying higher quality data sources with the appropriate structural veracity: Automate and enforce data model design tasks to ensure data integrity. From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

datapine

AUGUST 20, 2019

Big data: Architecture and Patterns. The Big data problem can be comprehended properly using a layered architecture. Big data architecture consists of different layers and each layer performs a specific function. The architecture of Big data has 6 layers. Artificial Intelligence.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Cloudera

DECEMBER 1, 2023

Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Data Governance 109

Data Governance Data-driven Strategy Data Architecture 109

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 115

Data Lake Metadata Snapshot Recreation/Entertainment 115

Ontotext

JULY 9, 2020

There is no easy answer to these questions but we still need to make sense of the data around us and figure out ways to manage and transfer knowledge with the finest granularity of detail. Knowledge graphs, the ones with semantically modeled data even more so , allow for such a granularity of detail.

Data Architecture 128

Data Architecture Unstructured Data Enterprise Technology 128

Data Virtualization

JANUARY 20, 2022

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

Data Virtualization

JANUARY 20, 2022

Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our data architecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.

Data Architecture 52

Data Architecture Data Integration Technology Management 52

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

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. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

SEPTEMBER 7, 2023

It is also crucial to audit granular data access for security and compliance needs. This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 111

Metadata Dashboards Metrics Visualization 111

Data Virtualization

JANUARY 17, 2023

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key.

Data Architecture 52

Data Architecture Data Integration Management Metadata 52

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration.

Data Warehouse 104

Data Warehouse Data-driven Machine Learning B2B 104

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. In the healthcare industry, data integration is of paramount importance. Read more at: [link]. Epilogue: Food For Thought.

Technology 75

Technology Enterprise Data Integration Structured Data 75

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. And please join us on March 24 for an Iceberg deep dive with CDP at the next Future of Data meetup. .

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5 AWS Glue released version 4.0

Testing 87

Testing Data Lake Cost-Benefit Data Integration 87

Data Virtualization

DECEMBER 8, 2022

Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. The post Metadata, the Neglected Stepchild of IT appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Metadata 69

Metadata IT Data Integration Publishing 69

IBM Big Data Hub

SEPTEMBER 12, 2022

The journey starts with having a multimodal data governance framework that is underpinned by a robust data architecture like data fabric. Without a data catalog, data can remain hidden or unused and become impossible to manage.

Metadata 91

Metadata Data Governance Enterprise Data Architecture 91