Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture 84

Data Architecture Cost-Benefit Digital Transformation Business Driver 84

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. The communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh. Source: Thoughtworks.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Cloudera

AUGUST 1, 2024

While every business has adopted some form of data architecture, the types they use vary widely. Leveraging Modern Data Architectures In today’s landscape, the only way to ensure data reliability is through the adoption of modern data architectures. EMEA and APAC regions.

Data Architecture 82

Data Architecture Enterprise Cost-Benefit Deep Learning 82

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. We’ve seen this from all of our customers and are emphasizing building and iterating on modern data architectures. Do we need more than one?

Data Architecture 92

Data Architecture Data Strategy Strategy Data-driven 92

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse.

Data Architecture 79

Data Architecture Data Lake Data Warehouse Metadata 79

DataKitchen

SEPTEMBER 17, 2021

A data mesh implemented on a DataOps process hub, like the DataKitchen Platform, can avoid the bottlenecks characteristic of large, monolithic enterprise data architectures. Doing so will give you the agility that your data organization needs to cope with new analytics requirements. Conclusion.

Testing 237

Testing Data Architecture Measurement Visualization 237

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.

Data Architecture 97

Data Architecture Optimization Data Warehouse Metadata 97

DataKitchen

DECEMBER 30, 2020

Full disclosure: some images have been edited to remove ads or to shorten the scrolling in this blog post. DBTA’s 100 Companies That Matter Most in Data. DataKitchen and its DataKitchen DataOps platform have been attracting attention in the emerging realm of data operations or “DataOps.”.

Testing 241

Testing Big Data Statistics Manufacturing 241

Data Virtualization

OCTOBER 3, 2024

Reading Time: 3 minutes As organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable.

Data Architecture 52

Data Architecture Data Integration Management Data Governance 52

Cloudera

JULY 29, 2022

This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. Rather, it means a holistic and comprehensive enterprise data strategy, spanning both, supported by a modern data architecture. . The telco industry has also increased its spend by 48% on similar initiatives. .

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

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 74

Data Architecture Data Warehouse Metadata Sales 74

Cloudera

DECEMBER 6, 2024

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. AI is only as successful as the data behind it. LLM precision is good, not great, right now Paul: I wanted to chat about this notion of precision data with you.

Manufacturing 82

Manufacturing Forecasting Metadata Data Processing 82

Cloudera

DECEMBER 17, 2024

The introduction of these faster, more powerful networks has triggered an explosion of data, which needs to be processed in real time to meet customer demands. Traditional data architectures struggle to handle these workloads, and without a robust, scalable hybrid data platform, the risk of falling behind is real.

Enterprise 62

Enterprise Data Architecture Data-driven Optimization 62

DataKitchen

NOVEMBER 29, 2021

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

DataKitchen

MAY 10, 2021

The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It. Blog: What is DataOps ? White Paper: DataOps is Not Just DevOps for Data . Blog: 4 Easy Ways to Start DataOps Today.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

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

AWS Big Data

NOVEMBER 27, 2024

To populate source data: Run the following script on Query Editor to create the sample database DEMO_DB and tables inside DEMO_DB. To populate source data: Run the following script on Query Editor to create the sample database DEMO_DB and tables inside DEMO_DB.

Data Warehouse 94

Data Warehouse Analytics Testing Modeling 94

Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

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. This results in more marketable AI-driven products and greater accountability.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

NOVEMBER 14, 2024

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures.

Metadata 111

Metadata Data Warehouse Big Data Data Lake 111

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

CIO Business Intelligence

NOVEMBER 21, 2022

We hear that constantly and it is an accurate description of the value that data provides for the successful operation of a business. Put simply, organizations with “better” data management and use it more effectively, win in the market. This blog summarizes a recent podcast that featured Graeme Thompson, CIO of Informatica.

Data Architecture 122

Data Architecture Management Strategy Marketing 122

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Unstructured Data 105

Unstructured Data Data Architecture Optimization Interactive 105

Cloudera

JANUARY 7, 2025

A leading meal kit provider migrated its data architecture to Cloudera on AWS, utilizing Cloudera’s Open Data Lakehouse capabilities. This transition streamlined data analytics workflows to accommodate significant growth in data volumes.

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

Cloudera

MAY 14, 2024

To attain that level of data quality, a majority of business and IT leaders have opted to take a hybrid approach to data management, moving data between cloud, on-premises -or a combination of the two – to where they can best use it for analytics or feeding AI models. appeared first on Cloudera Blog.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

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 86

Data Analytics Analytics Data Lake Data Quality 86

Cloudera

JUNE 7, 2022

Companies can now capitalize on the value in all their data, by delivering a hybrid data platform for modern data architectures with data anywhere. Cloudera Data Platform (CDP) is designed to address the critical requirements for modern data architectures today and tomorrow.

IT 112

IT Data Architecture Unstructured Data Big Data 112

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

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 103

Data Architecture Data Governance Big Data Marketing 103

AWS Big Data

OCTOBER 30, 2024

However, you can use the same file name as long as it’s from different auto-copy jobs: job_customerA_sales – s3://redshift-blogs/sales/customerA/2022-10-15-sales.csv job_customerB_sales – s3://redshift-blogs/sales/customerB/2022-10-15-sales.csv Do not update file contents. Do not overwrite existing files.

Data Warehouse 89

Data Warehouse Sales Data Lake Recreation/Entertainment 89

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

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists.

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

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

erwin

JULY 9, 2020

For more info about how enterprise architecture differs from solutions, technical and data architecture, see: The Difference Between Enterprise Architecture and Solutions Architecture. The Difference Between Enterprise Architecture and Technical Architecture.

Enterprise 145

Enterprise Data Architecture Data-driven Digital Transformation 145

AWS Big Data

DECEMBER 4, 2024

While traditional extract, transform, and load (ETL) processes have long been a staple of data integration due to its flexibility, for common use cases such as replication and ingestion, they often prove time-consuming, complex, and less adaptable to the fast-changing demands of modern data architectures.

Data Integration 98

Data Integration Data Lake Statistics Data-driven 98