Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis.

ETL 138

ETL Data Warehouse Analytics Analytics 138

Dataconomy

OCTOBER 17, 2023

Want to create a robust data warehouse architecture for your business? The sheer volume of data that companies are now gathering is incredible, and understanding how best to store and use this information to extract top performance can be incredibly overwhelming.

Data Warehouse 103

Data Warehouse Big Data Big Data ETL 103

Precisely

JANUARY 9, 2025

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

Data Warehouse 119

Data Warehouse Hadoop Data Lakes Data Governance 119

databricks

JUNE 12, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Data Engineering 230

Data Engineering Data Engineer Data Engineering Data Engineering 230

Pickl AI

APRIL 22, 2025

Summary: The snowflake schema in data warehouse organizes data into normalized, hierarchical dimension tables to reduce redundancy and enhance integrity. This approach is particularly valuable for organizations aiming to manage highly structured, multi-level data with minimal redundancy and greater consistency.

Data Warehouse 52

Data Warehouse Data Modeling Data Models Analytics 52

Analytics Vidhya

MARCH 27, 2024

Introduction This article will introduce the concept of data modeling, a crucial process that outlines how data is stored, organized, and accessed within a database or data system. It involves converting real-world business needs into a logical and structured format that can be realized in a database or data warehouse.

Data Modeling 306

Data Modeling Data Models Database Data Warehouse 306

Data Science Dojo

JULY 6, 2023

Data engineering tools offer a range of features and functionalities, including data integration, data transformation, data quality management, workflow orchestration, and data visualization. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering 195

Data Engineering Data Engineering Data Engineering Data Engineer 195

Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

Data Warehouse 90

Data Warehouse Business Intelligence Business Intelligence Analytics 90

Analytics Vidhya

JUNE 7, 2022

Introduction on Data Warehousing In today’s fast-moving business environment, organizations are turning to cloud-based technologies for simple data collection, reporting, and analysis. This is where Data Warehousing comes in as a key component of business intelligence that enables businesses to improve their performance.

Business Intelligence 353

Business Intelligence Business Intelligence Data Science Analytics 353

databricks

JUNE 11, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

AI 191

AI AI SQL Data Science 191

databricks

JUNE 11, 2025

Product December 12, 2024 / 4 min read Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Database 207

Database Data Lakes ETL Analytics 207

Smart Data Collective

APRIL 15, 2021

Business Intelligence is the practice of collecting and analyzing data and transforming it into useful, actionable information. In order to make good business decisions, leaders need accurate insights into both the market and day-to-day operations. Set Up Data Integration. What kinds of BI tools are available ?

Business Intelligence 108

Business Intelligence Business Intelligence Analytics Analytics 108

Dataconomy

JUNE 10, 2025

By providing a structured way to analyze historical data, these databases empower organizations to uncover trends and patterns that inform strategies and optimize operations. Businesses can leverage analytics databases to enhance reporting, improve business intelligence (BI), and efficiently manage vast quantities of information.

Database 91

Database Analytics Analytics Business Intelligence 91

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Data Lakes 315

Data Lakes Business Intelligence Business Intelligence Analytics 315

Dataconomy

JUNE 13, 2025

Related articles and topics For further insights into the realm of data management, consider exploring these relevant topics: Lufthansa’s cloud data warehouse strategies for enhanced data management. Sompo Asia’s approach to agile data analytics and its impact on business intelligence.

Data Visualization 91

Data Visualization Cloud Data Data Lakes Data Warehouse 91

Data Science Dojo

SEPTEMBER 11, 2024

These experiences facilitate professionals from ingesting data from different sources into a unified environment and pipelining the ingestion, transformation, and processing of data to developing predictive models and analyzing the data by visualization in interactive BI reports.

Power BI 337

Power BI Data Pipeline Data Warehouse Data Engineering 337

Dataconomy

MARCH 20, 2025

By focusing on particular segments of data, Data marts enhance usability and foster agility in data handling, enabling businesses to respond swiftly to market changes. What is a data mart? Dependent data mart A dependent data mart is tightly integrated with a central data warehouse.

Data Warehouse 91

Data Warehouse ETL Data Quality Database 91

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. Cloud based solutions are the future of the data warehousing market.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

The Data Governance Institute

AUGUST 7, 2020

This type of program typically comes into existence in conjunction with a specific data warehouse, data mart, or BI tool. Identify stakeholders, establish decision rights, clarify accountabilities Identify SDLC embedded governance steps and loop-outs for projects Clarify the value of data assets and data-related projects.

Data Warehouse 52

Data Warehouse Data Governance Business Intelligence Business Intelligence 52

Analytics Vidhya

DECEMBER 23, 2022

Source: [link] Introduction In today’s digital world, data is generated at a swift pace. Data in itself is not useful unless we present it in a meaningful way and derive insights that help in making key business decisions. Business Intelligence (BI) tools serve the […].

Business Intelligence 271

Business Intelligence Business Intelligence Data Science Analytics 271

Flipboard

APRIL 17, 2023

Enterprises often rely on data warehouses and data lakes to handle big data for various purposes, from business intelligence to data science. A new approach, called a data lakehouse, aims to …

Data Lakes 123

Data Lakes Data Warehouse Big Data Big Data 123

Dataversity

OCTOBER 28, 2022

In the past, designing and developing a robust data warehouse that satisfied the need for timely and effective business intelligence (BI) was an overwhelmingly difficult task, as it required significant time, capital, and risk. In essence, agile […]. In essence, agile […].

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence 52

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Amazon Redshift is a fast and widely used data warehouse.

Analytics 130

Analytics Analytics Data Warehouse Business Intelligence 130

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs.

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

Dataversity

FEBRUARY 1, 2021

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […].

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Dataversity

JANUARY 11, 2021

In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […].

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Women in Big Data

NOVEMBER 27, 2024

A data warehouse is a centralized repository designed to store and manage vast amounts of structured and semi-structured data from multiple sources, facilitating efficient reporting and analysis. Begin by determining your data volume, variety, and the performance expectations for querying and reporting.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Pickl AI

FEBRUARY 3, 2025

Summary: A Data Warehouse consolidates enterprise-wide data for analytics, while a Data Mart focuses on department-specific needs. Data Warehouses offer comprehensive insights but require more resources, whereas Data Marts provide cost-effective, faster access to focused data.

Data Warehouse 52

Data Warehouse Analytics Analytics Database 52

Dataversity

JANUARY 25, 2023

The emergence of advanced data storage technologies, such as cloud computing, data hubs, and data lakes, makes us question the role of traditional data warehouses in modern data architecture. Data warehouses were first introduced in the […] The post Are Data Warehouses Still Relevant?

Data Warehouse 52

Data Warehouse Data Lakes Cloud Computing Data Pipeline 52

The Data Administration Newsletter

SEPTEMBER 14, 2021

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.” That makes sense. I think the […].

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

databricks

JUNE 4, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

AWS 130

AWS AI AI Data Science 130

The Data Administration Newsletter

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

Data Warehouse 52

Data Warehouse ETL Data Models Data Modeling 52

Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. Introduction Business Intelligence (BI) tools are essential for organizations looking to harness data effectively and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52