KDnuggets

OCTOBER 26, 2022

A Data Science Portfolio That Will Land You The Job in 2022 • Is OLAP Dead? • 10 Essential SQL Commands for Data Science • Why TinyML Cases Are Becoming More Popular • Ensemble Learning with Examples.

OLAP 100

OLAP Data Science 100

Octopai

JANUARY 21, 2020

This is how the Online Analytical Processing (OLAP) cube was born, which you might call one of the grooviest BI inventions developed in the 70s. OLAP cube is designed as a solution to pre-compute totals and subtotals when the database server is idle. The OLAP cube makes reading data across multiple dimensions manageable.

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

Analytics Vidhya

SEPTEMBER 15, 2022

Introduction DuckDB is designed to support analytical query workloads, also known as Online analytical processing (OLAP).” This article was published as a part of the Data Science Blogathon. In short, […].

OLAP 246

OLAP Online Analytical Processing Data Science Analytics 246

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.

OLAP 70

OLAP Online Analytical Processing Analytics Slice and Dice 70

Paris Technologies

JULY 31, 2023

The OLAP.com blog recently published an article discussing the use of OLAP cube technology in analyzing and predicting outcomes for the 2023 Rugby World Cup. Cube technology or “OLAP” is a multi-dimensional database commonly used in Finance and Accounting for analysis, though it

OLAP 52

OLAP Technology Finance Publishing 52

Paris Technologies

AUGUST 31, 2023

At PARIS, you may have noticed that recently, we’ve added a touch of fun concerning “version maintenance” as a business idea by intertwining it with—of all things!—Rugby Rugby World Cup data. Now, in the context of the Rugby World Cup—which event is coming up quickly—the notion of version maintenance may seem unconventional, yet we believe that

OLAP 40

OLAP Technology IT Management 40

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). The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Ad Hoc Analysis.

OLAP 52

OLAP Reporting Dashboards Online Analytical Processing 52

DataRobot Blog

DECEMBER 19, 2019

From what I can remember, in-memory analytics, mobile BI, OLAP cubes and easier to use drag-and-drop analytics tools got all the buzz. by Jen Underwood. What was hot and what was not? Read More.

Analytics 85

Analytics OLAP Predictive Analytics 85

Sisense

SEPTEMBER 3, 2019

OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). An OLAP database is best for situations where you read from the database more often than you write to it. OLAP databases excel at queries that require large table scans (e.g.

Data Warehouse 78

Data Warehouse OLAP Data-driven Analytics 78

BI-Survey

JUNE 5, 2020

Model-based analysis like OLAP analysis on cubes or ad hoc analysis based on semantic models provides greater flexibility for end users to pull information out of their information landscape. Standard or enterprise reporting is used in almost every company (95 percent, see Figure 1) leaving little room for improvement.

OLAP 75

OLAP Reporting Data-driven Analytics 75

Jet Global

OCTOBER 26, 2021

Multi-dimensional analysis is sometimes referred to as “OLAP”, which stands for “online analytical processing.” Technically speaking, OLAP refers to methodologies for producing multidimensional analysis on high-volume data sets.). That may prompt further investigation and could reveal insights as to the appropriate corrective action.

Analytics 98

Analytics Reporting OLAP Slice and Dice 98

Jet Global

NOVEMBER 5, 2020

For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse. OLAP reporting based on a data warehouse model is a well-proven solution for companies with robust reporting requirements.

Data Lake 98

Data Lake Data Warehouse OLAP Unstructured Data 98

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 Data Warehouse OLAP Unstructured Data 88

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. Therefore, from a technical perspective, business intelligence solution is not about new things.

Business Intelligence 84

Business Intelligence OLAP Data Warehouse Predictive Analytics 84

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.” Most organizations are looking for sophisticated reporting and analytics, but they have little appetite for managing the highly complicated infrastructure that goes with it.

Modeling 52

Modeling OLAP Analytics Data Warehouse 52

FineReport

MAY 13, 2020

Pentaho from Hitachi Vantara offers a suite of open source business intelligence(BI) products that help IT and business users to do data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities. Pentaho Community Edition .

OLAP 105

OLAP Business Intelligence KPI Dashboards 105

Jet Global

APRIL 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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 80

Enterprise OLAP Business Intelligence Data Warehouse 80

In(tegrate) the Clouds

OCTOBER 7, 2016

Thanks to The OLAP Report for lots of great market materials. Comshare, Pilot, Metaphor, watch out here comes some more: OLAP, ROLAP, HOLAP, MOLAP now my head hurts. OLAP for the masses, gents? OLAP Services, TM1, Pablo, Wired, and Crystal fun. Showcase, SQRIBE all get imbibed and don’t forget OLAP@ Work.

Business Intelligence 40

Business Intelligence OLAP Marketing Data Warehouse 40

CIO Business Intelligence

JANUARY 20, 2023

The software selection service SelectHub breaks down some of the most important categories and features : Dashboards Visualizations Reporting Data mining ETL (extract-transfer-load — tools that import data from one data store into another) OLAP (online analytical processing) Of these tools, dashboards and visualization are by far the most popular; (..)

Business Intelligence 140

Business Intelligence Dashboards Business Analytics Data-driven 140

Jet Global

APRIL 10, 2019

Jet Analytics is a business intelligence and reporting solution with pre-built data warehouse and OLAP cubes for Dynamics GP. Data Warehouse and OLAP Cubes. Management Reporter. Jet Analytics. Multi Data Source Consolidation. Dashboards and KPIs. Power Bi Integration. Advanced Security. Compare Management Reporter and Jet Reports.

Reporting 75

Reporting OLAP Management Data Warehouse 75

Cloudera

DECEMBER 1, 2020

For example, a utility company using the operational database for OLTP use cases can use Cloudera’s operational database to store smart meter data and later use the data for OLAP use cases. The organization may also have components for doing OLAP. Both the Hbase Master and worker nodes must have dedicated storage capacity. .

OLAP 62

OLAP Metadata Finance Technology 62

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.

Data mining 75

Data mining Business Intelligence OLAP Data-driven 75

FineReport

JANUARY 6, 2020

The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. As reporting software, it does not support OLAP. The other is working as the reporting capability of BI tools, which is usually called BI reporting. FineReport.

Reporting 97

Reporting OLAP Slice and Dice Analytics 97

Jedox

DECEMBER 3, 2020

Legacy solution users will also want to look for familiar features: an in-memory OLAP database, an easy to model multi-cube architecture and cell-based spreadsheet style reporting. How will you secure a lower total cost of ownership? Cost, of course, is always an important consideration.

OLAP 56

OLAP Cost-Benefit Data-driven Data Analytics 56

CIO Business Intelligence

NOVEMBER 14, 2022

They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. These DSS include systems that use accounting and financial models, representational models, and optimization models.

Data-driven 129

Data-driven Data mining Data Warehouse Dashboards 129

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.

Modeling 52

Modeling Data Warehouse OLAP Data-driven 52

FineReport

AUGUST 14, 2020

The data analysis part is responsible for extracting data from the data warehouse, using the query, OLAP, data mining to analyze data, and forming the data conclusion with data visualization. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc.

Reporting 98

Reporting Data Warehouse OLAP Informatics 98

Jet Global

DECEMBER 2, 2019

Therefore, the real magic happens when OLAP cubes are built or delivered from the data warehouse. OLAP cubes do all the work by dimensionalizing all combinations of slicing and dicing the data ahead of time.

Business Intelligence 69

Business Intelligence Reporting Data Warehouse OLAP 69

Octopai

DECEMBER 22, 2019

Expanded our support of Microsoft OLAP cube , an innovative open-source feat. Announced our metadata management automated solution support across the entire Microsoft BI Stack. Named by Solutions Review as an Analytics Vendor to Watch, 2020. Named by CRN as a Top 10 Data Analytics Company to Watch.

Metadata 54

Metadata Management OLAP Data Analytics 54

BizAcuity

JANUARY 31, 2023

The BI infrastructure: This includes designing and implementing data warehouses, data lakes, data marts, and OLAP cubes along with data mining, and modeling. And as a result, the number of KPIs being tracked are subjected to increase over time. The BI infrastructure can prove to be quite expensive if not done right.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Octopai

AUGUST 30, 2020

Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests.

OLAP 58

OLAP Metadata Visualization Reporting 58

Jet Global

OCTOBER 7, 2020

Jet Analytics provides a pre-built data warehouse , OLAP cubes , and tabular models with a platform for non-technical users to easily create their own reports in Excel or Power BI. With a short time to value, you can be up and running in an hour and seeing tangible benefits before the end of your next reporting cycle.

Data Warehouse 90

Data Warehouse OLAP Analytics Reporting 90

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. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

Data Warehouse 76

Data Warehouse Data Lake OLAP Modeling 76

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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise Business Intelligence OLAP Data Warehouse 70

FineReport

MAY 29, 2020

If you have advanced requirements for OLAP analysis or prediction, the BI suite is a better choice. . In conclusion, if you only need to do data display, reporting, and basic data analysis, a bi reporting tool is enough to satisfy your demands. How does BI Reporting Work?

Reporting 94

Reporting OLAP Business Intelligence Software 94

Octopai

JANUARY 8, 2020

As a company’s data landscape grows and evolves, more computing “horsepower” is needed to perform the ETL and OLAP cube processing required to populate data warehouses and drive reports and dashboards. . – Hardware configuration – This is an area BI professionals don’t think much about, but it’s important.

Metadata 54

Metadata OLAP Forecasting Key Performance Indicator 54

Jet Global

DECEMBER 1, 2020

A non-developer can easily build a basic data warehouse including OLAP Cube or Tabular Model with Jet Analytics in as little as 30 minutes. An experienced BI Developer (without Jet Analytics) might require several hours to accomplish the same thing as part of a custom project in Visual Studio.

Data Warehouse 78

Data Warehouse Finance Metadata OLAP 78