Data Lake, Enterprise and OLAP - Data Leaders Brief

Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Data Lake

Data Lake Big Data OLAP Testing

Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Jet Global

NOVEMBER 5, 2020

Ostensibly, the new product represents Microsoft’s transition to a newer, more cloud-friendly ERP for midsized enterprises. For more powerful, multidimensional OLAP-style reporting, however, it falls short. OLAP reporting has traditionally relied on a data warehouse. Option 3: Azure Data Lakes.

Data Lake

Data Lake OLAP Data Warehouse Unstructured Data

Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Jet Global

SEPTEMBER 4, 2020

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. Online analytical processing (OLAP), which enabled users to quickly and easily view data along different dimensions, was coming of age. Data Lakes.

Data Lake

Data Lake OLAP Data Warehouse Unstructured Data

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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How OLAP and AI can enable better business

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. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP

OLAP Slice and Dice Cost-Benefit Data Warehouse

Build a real-time analytics solution with Apache Pinot on AWS

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. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.

OLAP

OLAP Analytics Visualization Dashboards

Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Data Modeling.

Data Lake

Data Lake Modeling Unstructured Data Data Warehouse

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

MARCH 7, 2023

Analytics reference architecture for gaming organizations In this section, we discuss how gaming organizations can use a data hub architecture to address the analytical needs of an enterprise, which requires the same data at multiple levels of granularity and different formats, and is standardized for faster consumption.

Analytics

Analytics Data Warehouse Data Lake Metadata

TIBCO JasperSoft for BI and Reporting

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

Reporting OLAP Online Analytical Processing Dashboards

Understanding Data Entities in Microsoft Dynamics 365

Jet Global

OCTOBER 7, 2020

In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. Enterprise Business Intelligence. It helps simplify and speed up data management and analytics efforts in D365 F&SCM. Microsoft is currently developing this capability.

Data Warehouse

Data Warehouse OLAP Reporting Finance

Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

AWS Big Data

AUGUST 1, 2024

The data warehouse is highly business critical with minimal allowable downtime. For an example, refer to How JPMorgan Chase built a data mesh architecture to drive significant value to enhance their enterprise data platform. Organic strategy – This strategy uses a lift and shift data schema using migration tools.

Data Warehouse

Data Warehouse KPI Optimization Cost-Benefit

Master Your Power BI Environment with Tabular Models

Jet Global

OCTOBER 22, 2020

OLAP Cubes vs. Tabular Models. Let’s begin with an overview of how data analytics works for most business applications. The company is pointing customers to several other options, including “BYOD” (which stands for “bring your own database”) and Microsoft Azure data lakes. The first is an OLAP model.

Modeling

Modeling OLAP Reporting Sales

What is Business Intelligence Consulting

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. The BI infrastructure: This includes designing and implementing data warehouses, data lakes, data marts, and OLAP cubes along with data mining, and modeling.

Business Intelligence

Business Intelligence Consulting KPI Data Warehouse

What is Business Intelligence Consulting

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. The BI infrastructure: This includes designing and implementing data warehouses, data lakes, data marts, and OLAP cubes along with data mining, and modeling.

Business Intelligence

Business Intelligence Consulting KPI Data Warehouse

Why Business Intelligence is Top of Mind for CFOs for 2022

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible.

Business Intelligence

Business Intelligence OLAP Sales Data Warehouse

Data Modeling 201 for the cloud: designing databases for data warehouses

erwin

JUNE 7, 2022

The first and most important thing to recognize and understand is the new and radically different target environment that you are now designing a data model for. Star schema: a data modeling and database design paradigm for data warehouses and data lakes. Even more information about erwin Data Modeler.

Data Warehouse

Data Warehouse Modeling Sales Data Lake

Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

SEPTEMBER 25, 2023

Uber understood that digital superiority required the capture of all their transactional data, not just a sampling. They stood up a file-based data lake alongside their analytical database. Because much of the work done on their data lake is exploratory in nature, many users want to execute untested queries on petabytes of data.

OLAP

OLAP Data Lake Data-driven Online Analytical Processing

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS

AWS Big Data

MARCH 13, 2025

Improving security with SOC 2, SSO, and RBAC Critical enterprise security features can be challenging to implement in open source Pinot environments. StarTree Cloud provides enterprise-grade security with SOC 2 compliance, enhanced encryption, and single sign-on (SSO) capabilities.

Management

Management Analytics OLAP Online Analytical Processing

Data Leaders Brief

Here’s Why Automation For Data Lakes Could Be Important

Complexity Drives Costs: A Look Inside BYOD and Azure Data Lakes

Webinars

Trending Sources

Navigating Data Entities, BYOD, and Data Lakes in Microsoft Dynamics

Webinars

How OLAP and AI can enable better business

Build a real-time analytics solution with Apache Pinot on AWS

Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

TIBCO JasperSoft for BI and Reporting

Understanding Data Entities in Microsoft Dynamics 365

Unlock scalability, cost-efficiency, and faster insights with large-scale data migration to Amazon Redshift

Master Your Power BI Environment with Tabular Models

What is Business Intelligence Consulting

What is Business Intelligence Consulting

Why Business Intelligence is Top of Mind for CFOs for 2022

Data Modeling 201 for the cloud: designing databases for data warehouses

Unleashing the power of Presto: The Uber case study

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS

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