erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data Modeling.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Jet Global

JANUARY 15, 2021

These benefits come with a caveat, however. In this respect, we often hear references to “switching costs” and “stickiness.” When the cost of switching to a new product is high, customers tend to remain where they are. Ultimately, though, switching costs are not so much about absolute numbers as they are about relative costs.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

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 62

OLAP Slice and Dice Cost-Benefit Data Warehouse 62

Jet Global

OCTOBER 7, 2020

Writing fresh reports requires deploying data entities, customizing them, and sometimes even creating new data entities from scratch with custom programming. Data entities are accessed using the OData protocol. In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

erwin

JUNE 7, 2022

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud providers sizing vs. cost calculator. It shows pricing for a data warehousing project with just 4 TBs of data, small by today’s standards. Look at Figure 1 below.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 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. with a cloud data warehouse is simple.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

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. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52