Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. What are Information Marts?

Agile 52

Agile Data Warehouse Data Quality Government 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 92

Innovation Data Warehouse Data Architecture Visualization 92

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Innovation 52

Innovation Data Warehouse Data Architecture Visualization 52

Astera

DECEMBER 22, 2022

Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional data warehouse architectures struggle to keep up with the ever-evolving data requirements, so enterprises are adopting a more sustainable approach to data warehousing. Migrate to Cloud-based data architecture.

Data Warehouse 52

Data Warehouse IBM Maintenance IBM Support Data Architecture 52

The Data Administration Newsletter

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Warehouse 52

Data Warehouse Data Governance Data Architecture Government 52

Astera

OCTOBER 27, 2023

What is a Cloud Data Warehouse? Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. A cloud data warehouse is critical to make quick, data-driven decisions.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

OCTOBER 19, 2023

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Dataversity

SEPTEMBER 6, 2021

The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. Click to learn more about author Mike Potter.

Data Warehouse 246

Data Warehouse Data Architecture Business Intelligence Business Intelligence 246

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.”

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. Q: What was your initial use case?

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Enterprise Big Data Strategy.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Domo

APRIL 14, 2021

2 – The Art of Designing an Enterprise-level Data Architecture and Pipeline ( WATCH ) Facing an enterprise-scale data analysis and management implementation can be a daunting proposition. Trimble was losing clients because of the inability of the prior data warehouse to scale,” said Ament, Trimble’s Data Warehouse Manager.

Agile 98

Agile Data Warehouse Data Architecture Logistics 98

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’ This is an expensive and time-consuming process and one that will require you to constantly update skills and the solution to keep pace with the market and with technology.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’ This is an expensive and time-consuming process and one that will require you to constantly update skills and the solution to keep pace with the market and with technology.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

ElegantJ BI

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’. This is an expensive and time-consuming process and one that will require you to constantly update skills and the solution to keep pace with the market and with technology. Rapid Deployment.

Data Warehouse 130

Data Warehouse Data Modelling Data Architecture Embedded Analytics 130

The Data Administration Newsletter

JULY 4, 2023

The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert Data Warehousing Specialists. You have the opportunity to participate […]

Data Warehouse 52

Data Warehouse Data Architecture Business Intelligence Business Intelligence 52

The Data Administration Newsletter

JANUARY 3, 2023

For a while now, vendors have been advocating that people put their data in a data lake when they put their data in the cloud. The Data Lake The idea is that you put your data into a data lake. Then, at a later point in time, the end user analyst can come along and […].

Data Warehouse 59

Data Warehouse Data Architecture Big Data Data Management 59

Tableau

DECEMBER 7, 2022

But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments.

Talent Acquisition 96

Talent Acquisition Data Warehouse Data Architecture Visualization 96

Tableau

DECEMBER 7, 2022

But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments.

Talent Acquisition 94

Talent Acquisition Data Warehouse Data Architecture Visualization 94

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Tableau

DECEMBER 7, 2022

But good data—and actionable insights—are hard to get. Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments.

Talent Acquisition 53

Talent Acquisition Data Warehouse Data Architecture Visualization 53

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.” There are many types of data repositories. Using the example of the eCommerce store, a variety of data on each customer may be processed.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Domo

APRIL 19, 2021

What this means is that the value of your enterprise data warehouse (EDW) will always be circumscribed by your ability to access and make use of it. You don’t need to be fluent in data to be able to make sense of it, to access it, to use it, and transform it from raw information into insight.

Data Warehouse 52

Data Warehouse Data Architecture Business Intelligence Business Intelligence 52

ElegantJ BI

MARCH 16, 2022

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’ Flexible Deployment via public or private cloud, or enterprise on-premises hardware.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

ElegantJ BI

MARCH 16, 2022

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’ Flexible Deployment via public or private cloud, or enterprise on-premises hardware.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

ElegantJ BI

MARCH 16, 2022

‘Users can access familiar business applications while enjoying the capabilities and opportunities provided by augmented analytics – all within a single sign-on environment.’. Flexible Deployment via public or private cloud, or enterprise on-premises hardware.

Embedded Analytics 130

Embedded Analytics Data Modelling Data Warehouse Data Architecture 130

Insight Software

JULY 28, 2023

Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture. Use independent industry resources, such as the 2023 Wisdom of Crowds® Business Intelligence Market Study report. Weigh the importance of each.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52