Jet Global

AUGUST 14, 2019

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

JANUARY 15, 2021

The company has offered up “bring your own database” (BYOD) as a workaround and has presented data entities as a long-term approach to data access for reporting. 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.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Jet Global

APRIL 30, 2019

In a separate database, your data is just sitting there and needs to be updated. If you have to rebuild an entity to reload it for accurate data, it can take from 20 minutes to an hour – presenting a massive issue of timeliness. Merging Multiple Data Sources for One Governed Data Set.

Finance 73

Finance OLAP Reporting Data Warehouse 73

Jet Global

OCTOBER 2, 2019

Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You can get faster insights without spending valuable time managing your data warehouse. Fault tolerance is built in. Choose Create workgroup.

Analytics 98

Analytics Data Warehouse Testing Dashboards 98

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. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

JULY 16, 2021

In addition, it can extract useful data from different business systems of an enterprise for storing, analyzing, and managing internal data. When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data Warehouse.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

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.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Jet Global

DECEMBER 1, 2020

Finally, you will likely spend a great deal of time formatting and manipulating all of that data so that it is presented in a way that makes sense to the people reading it. 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.

Finance 78

Finance Data Warehouse OLAP Reporting 78

BizAcuity

AUGUST 1, 2022

TIBCO Jaspersoft offers a complete BI suite that includes reporting, online analytical processing (OLAP), visual analytics , and data integration. The web-scale platform enables users to share interactive dashboards and data from a single page with individuals across the enterprise. Online Analytical Processing (OLAP).

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

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. OLTP does not hold historical data, only current data.

Modeling 52

Modeling OLAP Data Warehouse Cost-Benefit 52

IBM Big Data Hub

SEPTEMBER 27, 2023

Get a fast track to clarity: Single view with near real-time visibility and interactive dashboards QRadar Log Insights uses a modern open-source OLAP data warehouse, ClickHouse, which ingests, automatically indexes, searches and analyzes large datasets at sub-second speed.

Cost-Benefit 102

Cost-Benefit OLAP Dashboards Visualization 102

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. These types of queries are suited for a data warehouse. Amazon Redshift is fully managed, scalable, cloud data warehouse. This dimensional model will be built in Amazon Redshift.

Data Warehouse 81

Data Warehouse Data Lake OLAP Cost-Benefit 81

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

IBM Big Data Hub

SEPTEMBER 25, 2023

They set up a couple of clusters and began processing queries at a much faster speed than anything they had experienced with Apache Hive, a distributed data warehouse system, on their data lake. Uber chose Presto for the flexibility it provides with compute separated from data storage.

OLAP 91

OLAP Data Lake Data-driven Snapshot 91

Jet Global

MAY 1, 2023

Discuss, don’t present. Present your business case. To support your case, present findings from the State of Embedded Analytics study. Information Delivery The main reason software providers take on an embedded analytics project is to improve how data is presented. It is now most definitely a need-to-have.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52