AWS Big Data

AUGUST 6, 2024

Online Analytical Processing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. A notable use case is the user-facing Uber Eats Restaurant Manager dashboard, serving over 500,000 users with instant insights into restaurant performance.

OLAP 93

OLAP Analytics Visualization Dashboards 93

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber focused on contributing to several key areas within Presto: Automation: To support growing usage, the Uber team went to work on automating cluster management to make it simple to keep up and running. They also put process automation in place to quickly set up and take down clusters. Enterprise Management Associates (EMA).

OLAP 86

OLAP Data Lake Data-driven Online Analytical Processing 86

Jet Global

APRIL 2, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.

Enterprise 80

Enterprise OLAP Business Intelligence Internet of Things 80

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. Analysts can apply this capability to solutions in many scenarios, such as sales, marketing, inventory, and production management. Data security. Business intelligence solutions examples (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

SEPTEMBER 22, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. About the authors Yanzhu Ji is a Product Manager in the Amazon Redshift team.

Data Warehouse 117

Data Warehouse OLAP Risk Online Analytical Processing 117

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

Jet Global

APRIL 20, 2020

Over time, accounting software evolved to include inventory management, human resources, and even CRM. This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” Succeeding in the New Paradigm.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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 information is typically displayed and managed by a BI platform. Source: [link] ]. Source: [link] ].

Reporting 52

Reporting OLAP Online Analytical Processing Dashboards 52

Octopai

DECEMBER 15, 2019

Data lineage management, once a time-consuming process of manual data tracking used only in times of crisis, has been transformed by automation into an essential tool for making informed business decisions. Metadata Management Automation Increases Accuracy. The last decade has been an important one for enterprise data lineage.

Enterprise 52

Enterprise Metadata Online Analytical Processing Business Intelligence 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. Amazon Redshift Serverless makes it straightforward to run and scale analytics in seconds without the need to set up and manage data warehouse clusters.

Big Data 78

Big Data Data Warehouse Advertising OLAP 78

Jet Global

SEPTEMBER 4, 2020

When Microsoft released the next generation of the product in 2017, Microsoft Dynamics 365 for Finance and Supply Chain Management (D365F&SCM) , there were some significant changes behind the scenes. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Jet Global

AUGUST 14, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. Or is Business Intelligence One Part of Business Analytics?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. It constitutes components like metadata management, data quality, lineage, masking, and stewardship, which are required for organized maintenance of the data hub.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

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. The future of OLAP database systems In summary, the future of OLAP database systems is bright.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

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. Software updates, hardware, and availability are all managed by a third-party cloud provider. . Cloud data warehouses.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Sisense

SEPTEMBER 3, 2019

First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). One of the main settings to configure is your WLM (workload management). WLM can be thought of as “how many processes can be managed by a cluster at one time.”

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Sisense

FEBRUARY 16, 2021

OLTP works as a source for a data warehouse that is used to store and manage data in real time. 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 OLAP Data Warehouse Cost-Benefit 52

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. Fortunately, there is a way to have the best of both worlds.

Modeling 52

Modeling OLAP Reporting Sales 52

AWS Big Data

JUNE 21, 2023

Amazon DynamoDB is a fully managed NoSQL service that delivers single-digit millisecond performance at any scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 90

Data Warehouse Data Lake OLAP Cost-Benefit 90

Jet Global

OCTOBER 2, 2019

Data warehouses are a means of taking data points from disparate touchpoints (such as point-of-sale, CRM, inventory, and warehouse management systems), standardizing the data collected, structuring it to extract necessary insights, and running analysis. Enter data warehousing.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

MAY 4, 2021

As the first in-memory database for SAP, HANA was revolutionary, bringing together the best characteristics of both traditional online transaction processing and online analytical processing. BusinessObjects cannot support real-time data changes, making it unwieldy for ad hoc reporting.

Reporting 52

Reporting IT Finance Data Warehouse 52

AWS Big Data

MARCH 13, 2025

However, this approach requires self-management of the infrastructure required to run Pinot, as well as a number of manual processes to run in production. StarTree is a managed alternative that offers similar benefits for real-time analytics use cases.

Management 91

Management Analytics OLAP Online Analytical Processing 91