Dataconomy

APRIL 27, 2023

Conversely, OLAP systems are optimized for conducting complex data analysis and are designed for use by data scientists, business analysts, and knowledge workers. OLAP systems support business intelligence, data mining, and other decision support applications.

Database 159

Database Data Scientist Data Mining Data Mining 159

Smart Data Collective

OCTOBER 14, 2019

In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. Also, no matter your current skill level with big data analysis, Apache Drill tries to remove some of the obstacles that people often face.

Data Science 93

Data Science SQL Big Data Big Data 93

Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create.

Cross Validation 59

Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

AWS Machine Learning Blog

MAY 10, 2023

Business analysts play a pivotal role in facilitating data-driven business decisions through activities such as the visualization of business metrics and the prediction of future events. You can copy the prediction by choosing Copy , or download it by choosing Download prediction.

ML 86

ML ML AWS Data Analysis 86

Dataconomy

SEPTEMBER 16, 2024

This skill also integrates well with other technical domains like web development and business intelligence. You can embed SQL queries within applications to create dynamic, data-driven features. Download and install a database management system like MySQL or SQL Server. Begin by setting up a development environment.

SQL 103

SQL Database Data Analyst Database Administration 103

O'Reilly Media

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task. Enough time has passed; I think we can now be honest with ourselves.

Hadoop 135

Hadoop Algorithm ML ML 135

Pickl AI

OCTOBER 22, 2024

It enables fast, efficient full-text search, real-time Data Analysis , and scalable data retrieval across large datasets. Known for its speed and flexibility, Elasticsearch is widely used in applications where quick access to data is critical, such as e-commerce search, log analysis, and Business Intelligence.

Clustering 52

Clustering Data Analysis Data Analysis Database 52

ODSC - Open Data Science

JUNE 2, 2023

Augmented Analytics — Where Do You Fit in at the Intersection of Analytics and Business Intelligence? Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals.

Augmented Analytics 52

Augmented Analytics Analytics Analytics Business Intelligence 52

Pickl AI

JULY 10, 2024

hours of on-demand video 5 coding exercises 40 articles and 9 downloadable resources Full access on mobile and TV Data Science Job Guarantee Program by Pickl.AI This year-long program guarantees a job in Data Science , providing both conceptual knowledge and technical proficiency. Course Content: 42.5

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Pickl AI

JULY 29, 2024

Some key applications of Hadoop clusters in big data include: Data Warehousing Hadoop clusters can be used as cost-effective data warehousing solutions , storing and processing large volumes of data for business intelligence and reporting purposes. The open-source software is also free to download and use.

Hadoop 52

Hadoop Clustering Big Data Big Data 52

AWS Machine Learning Blog

MARCH 18, 2025

LLM-powered data analysis The transcribed interviews and ingested documents are fed into a powerful LLM, which can understand and correlate the information from multiple sources. The LLM can identify key insights, potential issues, and areas of non-compliance by analyzing the content and context of the data.

AWS 102

AWS AI AI Data Quality 102