Octopai

APRIL 19, 2021

Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. Every day, members post about upcoming webinars and share their latest articles.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

JUNE 23, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

Cloudera

DECEMBER 28, 2017

With this in mind, Nordea implemented a modern data architecture based on Cloudera that allowed them to improve data quality, cut data ingest times by 87%, shorten DevOps cycle times, and simplify data management processes. Click here to listen to the full webinar with Nordea.

Big Data 40

Big Data Data Architecture Data Quality Machine Learning 40

Cloudera

DECEMBER 19, 2018

Business intelligence (BI), an umbrella term coined in 1989 by Howard Dresner, Chief Research Officer at Dresner Advisory Services, refers to the ability of end-users to access and analyze enterprise data. In 2015, only 17% of organizations surveyed had big data implementations. Natural Language Analysis and Streaming Data Analytics.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

Alation

MARCH 7, 2023

If data is the octopus, each tentacle then serves as a way to put that data to work. Some are dedicated to the management of the data : architecture, access, analytics, visualization, and automation. Best of all, Alation makes our data searchable. Curious to learn more about Avista’s quest to tame its data octopus?

Data-driven 52

Data-driven Forecasting Data Science Optimization 52

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 77

Data Architecture Data Lake Metadata Data Warehouse 77

Jedox

OCTOBER 22, 2020

What is promising about addressing the challenges that have been exacerbated by the global crisis is that all of these data “pain points” and can be overcome by leveraging existing technology with the proper people, processes, and corporate culture. Typically, we take our multiple data sources and perform some level of ETL on the data.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

DataKitchen

JUNE 1, 2022

They have a Low Change Appetite: Teams have complicated in place data architectures and tools. There is no single pane of glass: no ability to see across all tools, pipelines, data sets, and teams in one place. Learn more, watch our on-demand webinar. They fear change in what already running.

Risk 130

Risk Management Testing Dashboards 130

DataKitchen

DECEMBER 30, 2020

The technology aims to help data analytics businesses orchestrate with their favourite tools, reduce errors through automated tests in the development and production pipeline, create repeatable work environments to help teams make changes and experiment without breaking production, and deploy new features with the push of a button.

Testing 241

Testing Big Data Statistics Manufacturing 241

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful.

Analytics 64

Analytics Measurement Modeling Data-driven 64

CIO Business Intelligence

JULY 28, 2023

A decentralized approach to data management Data mesh addresses the complexities of scaling data and analytics in a large organization, providing a distributed architecture for data management. It also helps to overcome the challenges of shadow data, which enterprise security policies do not recognize or cover.

Risk 98

Risk Management Cost-Benefit Data mining 98

Cloudera

SEPTEMBER 8, 2021

CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Data Lake 77

Data Lake Enterprise Data-driven Data Strategy 77

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. To learn more about DataOps Engineering, watch our webinar on this topic, A Day In the Life of A DataOps Engineer. A DataOps implementation project consists of three steps. About the Author.

Testing 157

Testing Metadata Dashboards Statistics 157

CDW Research Hub

OCTOBER 12, 2021

Business leaders need to quickly access data—and to trust the accuracy of that data—to make better decisions. As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. Unreliable Data as a Service (DaaS) implementations.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Alation

JANUARY 25, 2022

Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? Webinar: Five Must-Haves for a Data Catalog.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

DECEMBER 22, 2022

Delighted to learn that others had the same idea, they became huge fans of Zhamak Dehghani, absorbing her advice for building a data mesh. Old, pointy-eared friends Sparkle and Frizzle showed up at our mesh-focused webinars. Downloads of the “meshy fabric” white paper shot up.

Dashboards 52

Dashboards Manufacturing Data Architecture Reporting 52

Alation

FEBRUARY 20, 2020

“Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. In a recent webinar,“ Ready for a Machine Learning Data Catalog?

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

Birst BI

OCTOBER 24, 2019

To put it simply, by setting up DaaS, Birst offers a better way to democratize data without sacrificing security, governance, and control. Click here to register for November 12 webinar, where a CIO explains how flexible and secure DaaS is delivered today with Birst. DaaS is a core component of modern data architecture.

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

Cloudera

NOVEMBER 27, 2023

By democratizing access to streaming data, and bringing domain expert users into the development cycle, we help accelerate iterations on stream processing applications. This is vital when onboarding new data, or changing logic to meet evolving needs as is the case in fraud monitoring. Takeaway No.

Data Lake 81

Data Lake Advertising ROI Data Warehouse 81

Birst BI

FEBRUARY 25, 2020

Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture. Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Jet Global

MARCH 4, 2024

Technology teams often jump into SAP data systems expecting immediate, quantifiable ROI. However, this optimism often overlooks the reality of the situation: complex data architecture, mountains of manual tasks, and hidden inefficiencies in processing. Visions of cost savings and efficiency gains dance in their minds.

ROI 52

ROI Data Processing Reporting Software 52

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Use in-depth show-and-tell.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52