Jet Global

SEPTEMBER 4, 2020

Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. The challenge with OLAP, however, is that it requires intensive processing power to aggregate data according to various categories or dimensions. Data warehouses have been in widespread use for years.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

JANUARY 15, 2021

Virtually every ERP implementation or upgrade requires substantial effort to design, build, or modify, and then to test reports. As Microsoft focuses its reporting strategy around Power BI and Azure Data Lake services, Dynamics partners should carefully consider the implications of starting down the path that Microsoft is recommending.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

AWS Big Data

FEBRUARY 28, 2023

Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. An analyst can use OLAP aggregations to analyze buying patterns by grouping customers by demographic, geographic, and psychographic data, and then summarizing the data to look for trends.

Online Analytical Processing 72

Online Analytical Processing OLAP Slice and Dice Analytics 72

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 95

Analytics Data Warehouse Testing Dashboards 95

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift has added many features to enhance analytical processing like ROLLUP, CUBE and GROUPING SETS , which were demonstrated in the post Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS. For more details, refer to MERGE and QUALIFY clause.

Data Warehouse 103

Data Warehouse OLAP Risk Online Analytical Processing 103

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. Free up Developers to Work on Strategy.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

Jen Stirrup

OCTOBER 30, 2022

In turn, these patterns can be applied to existing customers to pinpoint those who might churn early so that strategies can be put in place to avoid this. One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). Propensity to Churn. Propensity to Buy.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52