Ontotext

JUNE 10, 2021

Relational databases benefit from decades of tweaks and optimizations to deliver performance. This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Jet Global

MARCH 5, 2019

With all the attention being paid to artificial intelligence (AI) these days, it’s no surprise that enterprise leaders are scrambling to find ways to shoehorn AI implementations into their technology stack. What are some of the core components of business intelligence? Download Now. 1] [link]. [2] 2] [link].

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

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

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. Making Sense of Disparate Systems.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

Jet Global

OCTOBER 7, 2020

Enterprise Business Intelligence. 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. It helps simplify and speed up data management and analytics efforts in D365 F&SCM.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

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. Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

FineReport

JUNE 24, 2021

Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Jet Global

DECEMBER 2, 2019

Both are paramount to business operations and both are required for an enterprise to function, thrive and compete. Alone, the optimized environment data warehouse is a valuable asset to any BI initiative; however, the data is still two-dimensional (table/field format) and does not contain any calculated measures or KPIs.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

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

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 94

Analytics Data Warehouse Testing Dashboards 94

Smart Data Collective

OCTOBER 25, 2023

In the 1990s, OLAP tools allowed multidimensional data analysis. Role of BI in Modern Enterprises What’s the goal and role of this data giant? The important thing to remember here is that BI isn’t just support; it’s a strategic asset for enterprise growth and adaptation. Let’s break it down for you.

Key Performance Indicator 95

Key Performance Indicator Business Intelligence Data-driven Metrics 95

Smarten

JANUARY 4, 2018

It is no wonder that the average enterprise is cautious when any suggestion is made to change the process they have in place. They can use self-serve data preparation tools to connect to data sources like databases, OLAP cubes and spreadsheets using simple wizard based connection interface.

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 87

OLAP Data Lake Data-driven Snapshot 87

Jet Global

MAY 28, 2019

So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise? Relational databases are incredibly useful for running a business, however, they are not optimized for getting information out. All About That (Data)Base. 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

Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. These sit on top of data warehouses that are strictly governed by IT departments. Build your first set of reports.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52