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

AWS Big Data

AUGUST 1, 2024

Thorough testing and performance optimization will facilitate a smooth transition with minimal disruption to end-users, fostering exceptional user experiences and satisfaction. Depending on each migration wave and what is being done in the wave (development, testing, or performance tuning), the right people will be engaged.

Data Warehouse 110

Data Warehouse KPI Optimization Cost-Benefit 110

Jet Global

OCTOBER 22, 2020

OLAP Cubes vs. Tabular Models. The first is an OLAP model. To perform multidimensional analysis on large data sets, OLAP data were organized into “cubes.” If you have a substantial library of existing reports and dashboards, reviewing and testing them all will take time. Fast-forward to 2020.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

OCTOBER 18, 2023

For Connection name , enter a name (for example, olap-azure-synapse ). Choose Test connection to verify that AWS SCT can connect to your source Azure Synapse project. Choose Test connection to verify that AWS SCT can connect to your target Redshift workgroup. When the test is successful, choose OK. Choose Test connection.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

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

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

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 Data Science Machine Learning Data-driven 105

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

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

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

AWS Big Data

MARCH 13, 2025

Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time online analytical processing (OLAP) solution. Developers interested in learning more about managed Pinot can deploy real-time analytics with StarTree to test it out or join a session with StarTrees head of product.

Management 101

Management Analytics OLAP Online Analytical Processing 101