Jen Stirrup

OCTOBER 30, 2022

One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). In order to do data mining properly, it is also necessary to test and re-test results again to ensure the validity of the predictions and models in order to ensure rigorousness.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

JANUARY 15, 2021

Virtually every ERP implementation or upgrade requires substantial effort to design, build, or modify, and then to test reports. In many respects, it is more akin to some of the very complex data warehousing and OLAP tools of the past–perhaps with an even steeper learning curve. Reporting as a Key Cost-driver.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Smarten

JANUARY 4, 2018

They can use self-serve data preparation tools to connect to data sources like databases, OLAP cubes and spreadsheets using simple wizard based connection interface. Today’s business users and managers face the daunting task of compiling and analyzing data simply and easily and using that data to make confident decisions.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

Domino Data Lab

JULY 2, 2019

Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?” several aspects of that earlier U Washington project seem remarkably similar, including the experimental design, train/test data source, and even the slides. Nope, that genie is out of the bottle.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Sisense

FEBRUARY 16, 2021

Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools. OLAP tools help in the interactive and effective processing of data in a multidimensional space. DBT does the most difficult and time-consuming step — dynamic transformation of data for data teams — with ease.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

Jet Global

APRIL 19, 2021

Whether a business is building a new data warehouse and set of OLAP cubes or revamping an existing one, the project requires developers to write a massive amount of SQL code. The process of writing and testing this code is extremely time time-consuming, labor-intensive, and error-prone. Reclaim Developer Hours.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

IBM Big Data Hub

SEPTEMBER 25, 2023

If the exploratory work needs to move on to testing and production, they can plan appropriately. As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. This way, the queries run much faster.

OLAP 94

OLAP Data Lake Data-driven Snapshot 94

Jet Global

MAY 1, 2023

OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. Later on, you’ll appreciate being able to test ideas and leverage best practices as your needs evolve. Requirement ODBC/JDBC Used for connectivity.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52