Sisense

APRIL 9, 2021

The amount of data being generated and stored every day has exploded. Companies of all kinds are sitting on stockpiles of data that could someday prove valuable. Until then though, they don’t necessarily want to spend the time and resources necessary to create a schema to house this data in a traditional data warehouse.

Data Warehouse 52

Data Warehouse Documentation Innovation Agile 52

Sisense

JANUARY 15, 2021

In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. We live in a world driven by data. As we have previously posted, the BI group is often the department that approaches the data teams for access to an analytics solution.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Astera

JUNE 14, 2023

If you’re in the process of setting up a data integration architecture, you know it’s a complex undertaking. You must consider an array of factors to successfully configure and implement your architecture, including throughput scalability, data fidelity, and security. So, let’s get started!

Data Mining 52

Data Mining Monitoring Data Quality Data Automation 52

Astera

JULY 13, 2023

Without a systematic approach to data preparation of these diverse data sets, valuable insights can easily slip through the cracks, hindering the company’s ability to make informed decisions. That is where data integration and data consolidation come in.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. ETL stands for extract, transform, and load.

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Astera

OCTOBER 31, 2023

An ETL pipeline is a type of data pipeline that includes the ETL process to move data. At its core, it is a set of processes and tools that enables businesses to extract raw data from multiple source systems, transform it to fit their needs, and load it into a destination system for various data-driven initiatives.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Documentation 52

Insight Software

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

MARCH 14, 2024

The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. It is a complete tool for data preparation, automation, and modeling, which simplifies data management and speeds up time-to-value. Or does it?

IBM Maintenance 52

IBM Maintenance IBM Support Data Discovery Supply Chain 52