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

APRIL 2, 2019

Many of the features frequently attributed to AI in business, such as automation, analytics, and data modeling aren’t actually features of AI at all. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. External processes are the spokes feeding data to and from the hub. Data repositories represent the hub.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Jet Global

JUNE 5, 2019

Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Store and manage: Next, businesses store and manage the data in a multidimensional database system, such as OLAP or tabular cubes. READ BLOG POST.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

AWS Big Data

FEBRUARY 28, 2023

We are continuously investing to make analytics easy with Redshift by simplifying SQL constructs and adding new operators. Solution overview Online Analytical Processing (OLAP) is an effective tool for today’s data and business analysts. About the Authors Satesh Sonti is a Sr.

Online Analytical Processing 71

Online Analytical Processing OLAP Slice and Dice Analytics 71

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” A few decades ago, technology professionals developed methods for collecting, aggregating, and staging their most important information into data warehouses.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

AUGUST 14, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. To truly benefit from artificial intelligence, you need to set the stage with effective reporting and analytics.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

NOVEMBER 12, 2020

If there’s a need for data storage and processing of transactional data that serves an application, then an OLTP database is great. However, if the goal is to perform complex analytics on large sets of data from disparate sources, a warehouse is the better solution. The primary differentiator is the data workload they serve.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

OCTOBER 2, 2019

The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the Online Analytical Processing (or OLAP) cubes. To truly benefit from artificial intelligence, you need to set the stage with effective reporting and analytics.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. Online Analytical Processing (OLAP). JasperSoft for Big Data Analytics. Insights can also be shared externally with a single click.

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Predictive analytics and modeling. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it. OLAP Cubes vs. Tabular Models. The first is an OLAP model.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

SEPTEMBER 22, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. In most analytic queries that use window functions, you may need to use those window functions in your WHERE clause as well. Ranjan Burman is an Analytics Specialist Solutions Architect at AWS.

Data Warehouse 99

Data Warehouse OLAP Risk Online Analytical Processing 99

Sisense

SEPTEMBER 3, 2019

Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows. OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing).

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Sisense

FEBRUARY 16, 2021

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more. DBT: Data Build Tool. Sisense data models. The benefits of DBT with Jinja.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. These campaigns are optimized by using an AI-based bid process that requires running hundreds of analytical queries per campaign.

Big Data 64

Big Data Data Warehouse Advertising OLAP 64

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries. About the Author Altaf Hussain is an Analytics Specialist Solutions Architect at AWS.

Data Warehouse 76

Data Warehouse Data Lake OLAP Cost-Benefit 76

IBM Big Data Hub

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success.

OLAP 92

OLAP Data Lake Data-driven Snapshot 92