phData

NOVEMBER 9, 2023

A data warehouse is a centralized and structured storage system that enables organizations to efficiently store, manage, and analyze large volumes of data for business intelligence and reporting purposes. What is a Data Lake? A Data Lake is a location to store raw data that is in any format that an organization may produce or collect.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Alation

JANUARY 17, 2023

Reverse ETL tools. Business intelligence (BI) platforms. The modern data stack is also the consequence of a shift in analysis workflow, fromextract, transform, load (ETL) to extract, load, transform (ELT). A Note on the Shift from ETL to ELT. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

How to Learn Machine Learning

APRIL 26, 2025

Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. This definition specifically describes the Data Scientist as being the predictive powerhouse of the data science ecosystem.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

AWS 126

AWS Natural Language Processing Machine Learning Machine Learning 126

IBM Journey to AI blog

JULY 1, 2024

Extraction, transformation and loading (ETL) tools dominated the data integration scene at the time, used primarily for data warehousing and business intelligence. The first two use cases are primarily aimed at a technical audience, as the lineage definitions apply to actual physical assets. This made things simple.

ETL 40

ETL Data Lakes Database Data Pipeline 40

Pickl AI

AUGUST 9, 2024

Introduction Dimensional modelling is a design approach used in data warehousing and business intelligence that structures data into a format that is intuitive and efficient for querying and reporting. One of the key components of dimensional modelling is the concept of hierarchies.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

Pickl AI

AUGUST 11, 2024

Document and Communicate Maintain thorough documentation of fact table designs, including definitions, calculations, and relationships. Establish data governance policies and processes to ensure consistency in definitions, calculations, and data sources. Consider factors such as data volume, query patterns, and hardware constraints.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

DECEMBER 16, 2024

With an estimated market share of 30.03% , Microsoft Fabric is a preferred choice for businesses seeking efficient and scalable data solutions. Definition and Core Components Microsoft Fabric is a unified solution integrating various data services into a single ecosystem. Power BI : Provides dynamic dashboards and reporting tools.

Power BI 52

Power BI Analytics Analytics Machine Learning 52

IBM Journey to AI blog

JANUARY 18, 2023

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. This adds an additional ETL step, making the data even more stale. Data platform architecture has an interesting history. It was Datawarehouse.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

phData

JULY 18, 2023

This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. Business-Focused Operation Model: Teams can shed countless hours of managing long-running and complex ETL pipelines that do not scale. It should also enable easy sharing of insights across the organization.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52