Jet Global

NOVEMBER 5, 2020

The company’s market power is based largely on its ability to promote the “stack”—that is, to position the entire suite of Microsoft products as a holistic solution to customer problems. For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Jet Global

SEPTEMBER 4, 2020

Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP 63

OLAP Slice and Dice Cost-Benefit Data Warehouse 63

Jet Global

JANUARY 15, 2021

Why not take that opportunity to look around at the offerings from SAP, Sage, Epicor, Acumatica, or any of the other leading ERP vendors on the market? The required investment to develop reports on Power BI and Azure Data Lakes is considerable, and there are substantial liabilities to consider before making a costly long-term commitment.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. This will ensure that you have the information you need to optimize your marketing spend. The Future Is Now. BI has arrived.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

Sisense

NOVEMBER 12, 2020

While the architecture of traditional data warehouses and cloud data warehouses does differ, the ways in which data professionals interact with them (via SQL or SQL-like languages) is roughly the same. The primary differentiator is the data workload they serve.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

OCTOBER 22, 2020

The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications.

Modeling 52

Modeling OLAP Reporting Sales 52