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

In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. Analytical. Don’t obstruct the optimizer from seeing it’s a star schema. Figure 9: An example of a Snowflake that complicates the optimizer from seeing it’s a star schema.

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.

Business Intelligence 78

Business Intelligence Finance Data Warehouse OLAP 78

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

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). Schemas are powerful. It provides meaning.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

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

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). Analytics and reporting: Capturing, structuring, and storing data is good—but being able to analyze and report on it is the ultimate end goal.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Modern analytics is much wider than SQL-based data warehousing. Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

AWS Big Data

MARCH 20, 2023

In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Data Virtualization

MAY 5, 2020

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

Data Science 52

Data Science Analytics OLAP Optimization 52

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.

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. Predictive analytics and modeling. BI software solutions (by FineReport).

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. Redshift, like BigQuery and Snowflake, is a cloud-based distributed multi-parallel processing (MPP) database, built for big data sets and complex analytical workflows.

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 103

Cost-Benefit OLAP Dashboards Visualization 103

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. 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 66

Big Data Data Warehouse Advertising OLAP 66

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. For a beginner, it’s a lot in one place.

Key Performance Indicator 96

Key Performance Indicator Business Intelligence Data-driven Metrics 96

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 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

Smarten

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

IBM Big Data Hub

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success.

OLAP 92

OLAP Data Lake Data-driven Snapshot 92

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. Enhancing a Data Warehouse with Cubes.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

SEPTEMBER 22, 2023

Jet Analytics from insightsoftware helps bridge the gap between reporting and data visualization. Designed to work with Microsoft Dynamics ERPs, Jet Analytics is a cost-effective data preparation, automation, and modeling solution that extends the Microsoft framework to speed-up and de-risk the delivery of a modern data warehouse.

Visualization 52

Visualization Reporting Data Warehouse OLAP 52