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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

erwin

JUNE 7, 2022

Don’t obstruct the optimizer from seeing it’s a star schema. Many database optimizers recognize the star schema and have code to optimize their execution by orders of magnitude. But you must not add anything to the picture which complicates or even obstructs the optimizer from seeing it’s a star schema. Business Focus.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Jet Global

OCTOBER 7, 2020

Jet Analytics provides a pre-built data warehouse , OLAP cubes , and tabular models with a platform for non-technical users to easily create their own reports in Excel or Power BI. With a short time to value, you can be up and running in an hour and seeing tangible benefits before the end of your next reporting cycle.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

APRIL 20, 2020

This practice, together with powerful OLAP (online analytical processing) tools, grew into a body of practice that we call “business intelligence.” It seeks to optimize performance by identifying opportunities and challenges as soon as they emerge.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Ontotext

JUNE 10, 2021

Relational databases benefit from decades of tweaks and optimizations to deliver performance. To handle such scenarios you need a transalytical graph database – a database engine that can deal with both frequent updates (OLTP workload) as well as with graph analytics (OLAP).

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

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. Cubes are multi-dimensional datasets that are optimized for analytical processing applications such as AI or BI solutions.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

MARCH 5, 2019

Business intelligence, by definition, “includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance” in a business environment. What are some of the core components of business intelligence?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

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. This will ensure that you have the information you need to optimize your marketing spend. Spot Problems (and Opportunities) Early.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. Data repository services Amazon Redshift is the recommended data storage service for OLAP (Online Analytical Processing) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Jet Global

DECEMBER 2, 2019

However, reporting this way is not only necessary, but it is also optimal for many financial and operational tasks – where you need to see what is happening right at this moment and dive into individual, detailed transactions that compose the numbers the report reveals. Request a Free Personalized Demo.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

FineReport

JUNE 24, 2021

Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. BI software solutions (by FineReport). Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing).

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

IBM Big Data Hub

SEPTEMBER 27, 2023

A modern log management platform, optimized for security and compliance use cases, can be vital to modernizing security operations, improving security readiness and reducing risk in a more cost-effective way. With flexible retention options, organizations can optimize data storage and better manage their costs.

Cost-Benefit 104

Cost-Benefit OLAP Dashboards Visualization 104

Data Virtualization

MAY 5, 2020

Bring any data to any data consumer, simply and easily: that’s the goal of data virtualization. Yet contrary to what may first come to mind, data consumers are more than simply BI, analytics, or data science applications. Just about every.

Data Science 52

Data Science Analytics OLAP Optimization 52

Domino Data Lab

JULY 2, 2019

SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. The query graph provides metadata that gets leveraged for optimizations at multiple layers of the relational database stack. SQL and Spark. That’s good stuff.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. For Connection name , enter a name (for example, olap-azure-synapse ). You get 1 hour of free concurrency scaling capacity for 24 hours of usage. This free credit meets the concurrency demand of 97% of the Amazon Redshift customer base.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

AWS Big Data

MARCH 20, 2023

The Design Lab is one half to two day engagement with customer team offering prescriptive guidance to arrive at the optimal solution architecture design before you embark on building the platform. This frequently accessed information cached in a centralized cache will optimize fetch time.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 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. These campaigns are optimized by using an AI-based bid process that requires running hundreds of analytical queries per campaign.

Big Data 64

Big Data Data Warehouse Advertising OLAP 64

Smart Data Collective

OCTOBER 25, 2023

In the 1990s, OLAP tools allowed multidimensional data analysis. With the help of robust analytics tools, individuals and organizations can decipher this wealth of information, enabling them to refine their strategies, target specific audiences, and optimize content for maximum impact. Let’s break it down for you.

Key Performance Indicator 97

Key Performance Indicator Business Intelligence Data-driven Metrics 97

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. We begin with a single-table design as an initial state and build a scalable batch extract, load, and transform (ELT) pipeline to restructure the data into a dimensional model for OLAP workloads.

Data Warehouse 76

Data Warehouse Data Lake OLAP Cost-Benefit 76

Smarten

JANUARY 4, 2018

By combining traditional ETL, data warehouse management and technical skills with self-serve data preparation and business user access to ETL and cube management, your organization can balance and optimize quality vs agility to create an agile analytical environment.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

IBM Big Data Hub

SEPTEMBER 25, 2023

With a few taps on a mobile device, riders request a ride; then, Uber’s algorithms work to match them with the nearest available driver and calculate the optimal price. This allowed them to focus on SQL-based query optimization to the nth degree. But the simplicity ends there. Every transaction, every cent matters.

OLAP 93

OLAP Data Lake Data-driven Snapshot 93

Jet Global

MAY 28, 2019

Relational databases are incredibly useful for running a business, however, they are not optimized for getting information out. High level, a data warehouse is a collection of business data from multiple sources used optimized for reporting, analytics and decision making. Enter the Warehouse. Enhancing a Data Warehouse with Cubes.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

SEPTEMBER 22, 2023

Jet allows you to work with data structures optimized for self-service reporting, reducing the time needed to access accurate and controlled data by up to 80%. Leverage incremental refresh to optimize resource usage. Pre-built OLAP cubes, tabular models, and a data warehouse. Turnkey installation in hours, not months.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52

Jet Global

MAY 1, 2023

Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Ideally, your primary data source should belong in this group.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52