Jet Global

MARCH 5, 2019

Machine learning: Machine learning, at its core, is the process of getting computers to learn and act like humans by responding to variable data inputs. Vision systems: Vision systems are capable of analyzing and interpreting visual images, such as aerial photographs, medical imaging, or product labels.

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Domino Data Lab

JULY 2, 2019

Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? pointed out in “ The Case for Learned Index Structures ” (see video ) the internal smarts (B-trees, etc.) of relational databases represent early forms of machine learning. With me so far?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

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

AWS Big Data

MARCH 20, 2023

Other use cases – Additional use cases relating to aggregations and machine learning (ML) inference use cases such as authorization to operate, listing spam detection, and avoiding account takeovers (ATOs), among others. About the authors Mahesh Pasupuleti is a VP of Data & Machine Learning Engineering at Poshmark.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

erwin

AUGUST 15, 2022

Machine Learning. The first and most important thing to recognize and understand is the new and radically different target environment that you are most likely designing a data model when choosing a NoSQL database, namely a data lake or data lakehouse. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

erwin

JUNE 7, 2022

Machine Learning. 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. Business Focus. Operational. Operational Tactical. Tactical Strategic. Analytical. End User Tools. Client Server Web. Client Server. Client Server.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. Data subscription and access is fully managed with this service. Refer to the respective service documentation for further details.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

CIO Business Intelligence

JANUARY 20, 2023

It uses data mining , data modeling, and machine learning to answer why something happened and predict what might happen in the future. BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

IBM Big Data Hub

SEPTEMBER 27, 2023

Get a fast track to clarity: Single view with near real-time visibility and interactive dashboards QRadar Log Insights uses a modern open-source OLAP data warehouse, ClickHouse, which ingests, automatically indexes, searches and analyzes large datasets at sub-second speed.

Cost-Benefit 105

Cost-Benefit OLAP Dashboards Visualization 105

Jet Global

MAY 1, 2023

OLAP cubes Used for multi-dimensional analysis Strategic Objective When a vendor-specific connector is not available, generic connectors provide flexibility with data. Augmented analytics use machine learning and AI to aid with data insight and analysis to improve workers’ ability to analyze data. Instead, software can be used.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52