Jet Global

OCTOBER 26, 2021

If you are confused about reporting analytics vs. financial reporting, it makes sense to start with a baseline definition of financial reporting. What About Financial Analytics? In contrast with financial reporting, analytics tends to cast a much wider net in terms of its overall purpose and objectives.

Reporting 98

Reporting Slice and Dice OLAP Analytics 98

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 86

OLAP Data Lake Data-driven Online Analytical Processing 86

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. It All Starts with Data. Without data to act upon, there’s no ‘intelligence’ in AI or BI.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

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. Redshift is a type of OLAP database.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Jet Global

SEPTEMBER 4, 2020

D365F&SCM customers are invariably processing enough data that they can run into substantial issues with reliability and performance when running reports using entities. Data warehouses gained momentum back in the early 1990s as companies dealing with growing volumes of data were seeking ways to make analytics faster and more accessible.

Data Lake 88

Data Lake OLAP Data Warehouse 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. Data preparation and data processing. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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). Insights can also be shared externally with a single click. Source: [link] ]. Source: [link] ].

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 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. Amazon Redshift has recently added many SQL commands and expressions. In this post, we talk about two new SQL features, the MERGE command and QUALIFY clause, which simplify data ingestion and data filtering.

Data Warehouse 117

Data Warehouse OLAP Risk Online Analytical Processing 117

Jet Global

APRIL 20, 2020

First, accounting moved into the digital age and made it possible for data to be processed and summarized more efficiently. In short, financial intelligence is a higher-order thought process about organizations and how they consume both internal and external information. A new paradigm in reporting and analysis is emerging.

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. The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI).

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Jet Global

OCTOBER 22, 2020

Unfortunately, it also introduces a mountain of complexity into the reporting process. 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

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. We explore why Aura chose this solution and what technological challenges it helped solve.

Big Data 77

Big Data Data Warehouse Advertising OLAP 77

Sisense

FEBRUARY 16, 2021

As an alternative, when using data modeling tools, data goes through an extract, load, and transform (ELT) process to convert it into the required format for analysis. . Data warehouses provide a consolidated, multidimensional view of data along with online analytical processing ( OLAP ) tools.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

AWS Big Data

JUNE 21, 2023

This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. The case for a data warehouse A data warehouse is ideally suited to answer OLAP queries.

Data Warehouse 90

Data Warehouse Data Lake OLAP Cost-Benefit 90

Sisense

NOVEMBER 12, 2020

Scaling the warehouse as business analytics needs grow is as simple as clicking a few buttons (and in some cases, it is even automatic). Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. The primary differentiator is the data workload they serve.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

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. Data inbound This section consists of components to process and load the data from multiple sources into data repositories.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

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. The business world is at an inflection point when it comes to the application of Artificial Intelligence (or AI).

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

AUGUST 1, 2024

Identify all upstream and downstream applications, as well as business processes that rely on the data warehouse. Trace the flow of data from its origins in the source systems, through the data warehouse, and ultimately to its consumption by reporting, analytics, and other downstream processes.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

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 91

Management Analytics OLAP Online Analytical Processing 91