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 Data Architecture Planning Big Data 78

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.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

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 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

DECEMBER 28, 2023

For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. Transform and shape your data the way your business needs it using pre-built transformations and functions. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

For example, with Astera, you can: Establish native connectivity to a range of data sources and destinations, both on-premises and cloud-based. Transform and shape your data the way your business needs it using pre-built transformations and functions. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 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.” For example, some data architecture is insufficiently flexible, and changing data when necessary is difficult.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

Actian

JULY 31, 2019

At one time, data was largely transactional and Online Transactional Processing (OLTP) and Enterprise resource planning (ERP) systems handled it inline, and it was heavily structured. They are generating the entire range of structured and unstructured data, but with two-thirds of it in a time-series format.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Insight Software

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.

IBM cost 52

IBM cost IBM Support IBM Maintenance Supply Chain 52

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. Monitor, Adapt, and Optimize After three to six months, do a check-up and consider reengaging with your vendor’s services. Assess additional services that could take you to the next level.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 1, 2023

Salesforce monitors the activity of a prospect through the sales funnel, from opportunity to lead to customer. The functionality allows them to zero in on the pipeline data that is associated with the account record of interest. Their devices monitor a user’s activity and transmit data to the cloud.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52