Jet Global

APRIL 20, 2020

There was always a delay between the events being recorded in financial systems (for example, the purchase of a product or service) and the ability to put that information in context and draw useful conclusions from it (for example, a weekly sales report). Over the past few decades, however, technology has been closing that gap.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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

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. BI allows users to play with data, arrange it into different hierarchies, filter it, and summarize the information in various ways.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

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

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

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

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 72

Analytics Data Warehouse Data Lake Metadata 72

FineReport

JUNE 24, 2021

BI software solutions quickly and precisely deliver informative reports and, in the end, fit a solid basis for decision-making over business operations. 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

Also known as “analytics,” BI looks at more expansive data relationships, perhaps even between multiple systems that collect data (such as CRM and GP), and identifies trends that can inform strategic business decisions and objectives that will improve overall performance across the entire operation. BI is macro.

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. With flexible retention options, organizations can optimize data storage and better manage their costs.

Cost-Benefit 95

Cost-Benefit OLAP Dashboards Visualization 95

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

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. In the General information section, copy the endpoint. For more information about bucket names, refer to Bucket naming rules. For Connection name , enter a name (for example, olap-azure-synapse ). Fault tolerance is built in.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

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. As a result, the same information from the enrichment source is required to enrich each event.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 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

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. Data sharing provides live access to data so that you always see the most up-to-date and consistent information as it’s updated in the data warehouse.

Big Data 67

Big Data Data Warehouse Advertising OLAP 67

Smart Data Collective

OCTOBER 25, 2023

Nonetheless, we’re talking about an exciting synergy that allows organizations and multimillion-dollar companies and brands to tap into the wealth of information generated on social media platforms. In the 1990s, OLAP tools allowed multidimensional data analysis. Many companies are following her direction. Sounds pretty simple, right?

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

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 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

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. The key focus in this scenario is agility.

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

Databases usually consist of information arranged in rows, columns, and tables, organized mainly for easy input and collection of different events. 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.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. The result is more informed decisions. Today, people expect information to be available at their fingertips.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

SEPTEMBER 22, 2023

Business intelligence is a key tool, empowering companies to get the most out of their data by providing tools to analyze information, streamline operations, track performance, and inform decision-making. Leverage incremental refresh to optimize resource usage. Pre-built OLAP cubes, tabular models, and a data warehouse.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52