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. Partner solutions to boost functionality, adoption.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 84

Cost-Benefit Data Architecture Risk IoT 84

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 83

Data Processing IoT Cost-Benefit Digital Transformation 83

Cloudera

OCTOBER 11, 2022

This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. But it isn’t just aggregating data for models. Data needs to be prepared and analyzed.

Snapshot 90

Snapshot Data Science Digital Transformation Metadata 90

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. Modern data catalogs leverage machine learning to locate potential high-value data.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. Nedbank builds a scalable data warehouse architecture . Endless data but your queries aren’t fast enough. To learn more, visit IBM Db2 and our IBM data management page. .

Data Lake 94

Data Lake Data Warehouse Publishing Structured Data 94

Cloudera

FEBRUARY 7, 2019

Enabling this transformation is the HDP platform, along with SAS Viya on Google Cloud , which has delivered machine learning models and personalization at scale. With the right technology now in place, ATB Financial is landing and curating more data than ever to bring data-driven insights to the business and its customers.

Big Data 64

Big Data Data Analytics Analytics Data Architecture 64

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). Towards Data Science ). Deploying modern data architectures. Forrester ).

Data Architecture 76

Data Architecture Data Lake Metadata Data Warehouse 76

CIO Business Intelligence

SEPTEMBER 21, 2023

To make all this possible, the data had to be collected, processed, and fed into the systems that needed it in a reliable, efficient, scalable, and secure way. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Supercharge your data lakehouse, make it open.

Data Lake 84

Data Lake Data Architecture Metadata Data Warehouse 84

IBM Big Data Hub

JANUARY 18, 2023

They defined it as : “ A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. ”.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

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 86

Management Metadata Data Architecture Data Lake 86

Alation

DECEMBER 14, 2021

To that end, AWS is making inroads into the analytics and machine learning space. They do this by leveraging this single platform, which integrates with thousands of partners and supports 475 instances to unify data across an enterprise. Subscribe to Alation's Blog. Be sure to catch us next year!

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. . Its existing data architecture, however, wasn’t up for the gig.

Enterprise 74

Enterprise Cost-Benefit Data Warehouse Data Architecture 74

IBM Big Data Hub

FEBRUARY 19, 2024

A data monetization capability built on platform economics can reach its maximum potential when data is recognized as a product that is either built or powered by AI. At the enterprise level, business units identify the data they need from source systems and create data sets tailored exclusively to their specific solutions.

Cost-Benefit 69

Cost-Benefit Data-driven Optimization Marketing 69

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Srinivas Kandi is a Data Architect at AWS Professional Services. He enjoys reading history and civilizations.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. Organizations launched initiatives to be “ data-driven ” (though we at Hired Brains Research prefer the term “data-aware”). Subscribe to Alation's Blog. Scheduling. Target Matching.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric. Spoiler alert!

Metadata 52

Metadata IT Metrics Data-driven 52

Cloudera

NOVEMBER 29, 2021

Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling. The company also used the Cloudera Data Science Workbench (CDSW) to test models and machine learning processes to create a streamlined method to collect demographic data. .

Data Lake 76

Data Lake Data Warehouse Data Architecture Reporting 76

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. Use MLOps for scalability The development of machine learning (ML) models is notoriously error-prone and time-consuming.

Data Architecture 63

Data Architecture Data Lake Machine Learning Data Governance 63

Ontotext

AUGUST 4, 2023

A data fabric utilizes an integrated data layer over existing, discoverable, and inferenced metadata assets to support the design, deployment, and utilization of data across enterprises, including hybrid and multi-cloud platforms. Data fabric does not replace data warehouses, data lakes, or data lakehouses.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Cloudera

MAY 22, 2019

Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more. If you’ve democratized data within your company, we want to hear from you.

Machine Learning 55

Machine Learning Data Architecture IoT Metadata 55

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally. Technology cost reduction / avoidance.

Cost-Benefit 78

Cost-Benefit Data Warehouse Data Processing Data Governance 78

Cloudera

FEBRUARY 14, 2022

CDE like the other data services (Data Warehouse and Machine Learning for example) deploys within the same kubernetes cluster and is managed through the same security and governance model. Data Engineering should not be limited by one cloud vendor or data locality. With the introduction of PVC 1.3.0

Testing 110

Testing Data-driven Data Warehouse Enterprise 110