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. Different data types need different types of analytics – real-time, streaming, operational, data warehouses.

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Snapshot Data Science Digital Transformation Metadata 90

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

CDW Research Hub

JULY 27, 2021

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. In this way, the Cloud Data Warehouse Accelerator enables a seamless transition to Snowflake. Reduce the total cost of ownership of the data infrastructure.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Cloudera

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures. Next steps.

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Data Architecture Data-driven Cost-Benefit Data Warehouse 104

CIO Business Intelligence

SEPTEMBER 21, 2023

“We’re still in the early phases of this,” says Donncha Carroll, partner in the revenue growth practice and head of the data science team at Lotis Blue Consulting. Many data science tools and base models are open source, or are based heavily on open-source projects. The oversight piece hasn’t been figured out yet.”

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Enterprise Consulting Modeling Cost-Benefit 130

DataKitchen

JANUARY 3, 2022

For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports. Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units.

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Business Analytics Analytics Testing Dashboards 245

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 ). Solutions that support MDAs are purpose-built for data collection, processing, and sharing.

Data Architecture 76

Data Architecture Data Lake Metadata Data Warehouse 76

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

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

Data Virtualization

APRIL 27, 2023

The post Revolutionizing Financial Institutions: How Data Virtualization Enables Tailored Products and Services appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. A significant inhibitor is the.

Data Integration 52

Data Integration Management Data Lake IT 52

Data Virtualization

DECEMBER 15, 2022

Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.

Big Data 52

Big Data Data Integration Technology Management 52

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

Data Virtualization

MARCH 31, 2022

Listen to “Is Data Fabric the Ideal Approach for Effective Data Management?” ” The post Data Fabric Approach for Effective Data Management appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 52

Management Data Integration Marketing Data Lake 52

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Modeling Your Data for Performance. Data architecture. The data landscape has changed significantly over the last two decades.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

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

Cloudera

APRIL 13, 2021

But while the company is united by purpose, there was a time when its teams were kept apart by a data platform that lacked the scalability and flexibility needed for collaboration and efficiency. Disparate data silos made real-time streaming analytics, data science, and predictive modeling nearly impossible.

Enterprise 74

Enterprise Cost-Benefit Data Warehouse Data Architecture 74

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

IT 85

IT Data Warehouse Dashboards Visualization 85

Data Virtualization

JANUARY 14, 2022

Reading Time: 3 minutes During a recent house move I discovered an old notebook with metrics from when I was in the role of a Data Warehouse Project Manager and used to estimate data delivery projects. For the delivery a single data mart with.

Data Warehouse 52

Data Warehouse Metrics Data Integration Management 52

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Run the AWS Glue job Confirm if you see the employee dataset in the path s3://scd-blog-landing/dataset/employee/. You can download the dataset and open it in a code editor such as VS Code.

Data Lake 72

Data Lake Testing Snapshot Sales 72

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. The vision of big data freed organizations to capture more data sources at lower levels of detail and in vastly greater volumes. Pushing data to a data lake and assuming it is ready for use is shortsighted.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

NOVEMBER 29, 2021

Carrefour Spain , a branch of the larger company (with 1,250 stores), processes over 3 million transactions every day, giving rise to challenges like creating and managing a data lake and honing down key demographic information. . Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling.

Data Lake 76

Data Lake Data Warehouse Data Architecture Reporting 76

Data Virtualization

FEBRUARY 16, 2023

Unfortunately, organizations are far from achieving this goal, because their data is. The post Monolithic vs. Logical Architecture: Which for the Win? appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management IT Data Architecture 52

Data Virtualization

FEBRUARY 16, 2023

Unfortunately, organizations are far from achieving this goal, because their data is. The post Monolithic vs. Logical Architecture: Which for the Win? appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 52

Data Integration Management IT Data Architecture 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. DATA ANYWHERE. DATA SECURITY AND GOVERNANCE. May the odds be ever in your favor!

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. More information about Cloudera Data Platform can be found at [link]. Technology cost reduction / avoidance.

Cost-Benefit 78

Cost-Benefit Data Warehouse Data Processing Data Governance 78

IBM Big Data Hub

JULY 5, 2023

Benefits of modernizing data lakes to watsonx.data IBM’s answer to the current analytics crossroad is watsonx.data. This is a new open data store for managing data at scale that allows companies to surround, augment and modernize their existing data lakes and data warehouses without the need to migrate.

Data Lake 66

Data Lake Metadata Cost-Benefit Data Warehouse 66