Jet Global

AUGUST 14, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

NOVEMBER 12, 2020

While the organization of these layers has been refined over the years, the interoperability of the technologies, the myriad software, and orchestration of the systems make the management of these systems a challenge. A data-driven future powered by cloud data warehouse technologies. Cloud data warehouses.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Jet Global

OCTOBER 2, 2019

While the technology behind enabling computers to simulate human thought has been developing, at times slowly, over the past half-century, the cost of implementation, readily available access to cloud computing, and practical business use cases are primed to help AI make a dramatic impact in the enterprise over the next few years.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

AWS Big Data

MARCH 7, 2023

Data inbound This section consists of components to process and load the data from multiple sources into data repositories. ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. However, it’s not mandatory to use the same technologies.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

FineReport

JUNE 24, 2021

However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jet Global

OCTOBER 22, 2020

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. Let’s begin with an overview of how data analytics works for most business applications. 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. He specializes in Amazon Redshift and helps customers build scalable analytical solutions. He has more than 16 years of experience in different database and data warehousing technologies.

Data Warehouse 99

Data Warehouse OLAP Risk Online Analytical Processing 99

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

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. Scott Castle is the VP & GM for Cloud Data Teams at Sisense.

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

Big Data 64

Big Data Data Warehouse Advertising OLAP 64

IBM Big Data Hub

SEPTEMBER 25, 2023

As a result, they continue to expand their use cases to include ETL, data science , data exploration, online analytical processing (OLAP), data lake analytics and federated queries. It can ingest data from offline batch data sources (such as Hadoop and flat files) as well as online data sources (such as Kafka).

OLAP 96

OLAP Data Lake Data-driven Snapshot 96