Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Dataversity

NOVEMBER 25, 2022

Data is vital when it comes to growing a business, but many organizations fail to utilize it properly once it has been collected. At the same time, many forward-thinking businesses, from startups to large corporations, have implemented a modern cloud analytics stack to use data more efficiently.

Cloud Computing 130

Cloud Computing Data Warehouse Data Architecture Data Analytics 130

Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Domo

JULY 28, 2022

With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. And we wanted to bring our own data engineering group. And for good reason.

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Being able to act on data in the moment is paramount to transforming business outcomes and improving the chances of business success.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

AUGUST 27, 2019

There’s an influx of data being generated, but half of enterprises lack the resources to access it and use it in real-time. Being able to act on data in the moment is paramount to transforming business outcomes and improving the chances of business success.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Astera

DECEMBER 21, 2022

What is unified data? Unification of data is when fragmented data sources are merged into a single repository, known as a “data warehouse.” Auditing for data protection compliance can be extremely difficult when data is processed, stored, and managed across a variety of locations and platforms.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Actian

SEPTEMBER 3, 2019

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Actian

SEPTEMBER 3, 2019

Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire. In addition to fully harnessing and analyzing available data, the speed at which this is performed is critical.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40

Actian

SEPTEMBER 30, 2019

In the prior three blogs from this series, we looked at i) maximizing the value of available data , ii) leveraging the right data for the right decision-making , and iii) identified key challenges to the adoption of cloud data warehouse solutions. Compliance for global enterprises has never been more complicated.

Data Warehouse 40

Data Warehouse Data Architecture Data Analytics Data Analytics 40

Actian

SEPTEMBER 30, 2019

In the prior three blogs from this series, we looked at i) maximizing the value of available data , ii) leveraging the right data for the right decision-making , and iii) identified key challenges to the adoption of cloud data warehouse solutions. Compliance for global enterprises has never been more complicated.

Data Warehouse 8

Data Warehouse Data Architecture Data Analytics Data Analytics 8

Insight Software

MAY 1, 2023

Third-party data might include industry benchmarks, data feeds (such as weather and social media), and/or anonymized customer data. Four Approaches to Data Analytics The world of data analytics is constantly and quickly changing. The application thus becomes a vital information hub.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52