Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Data Science Dojo

FEBRUARY 23, 2024

Diagrams ⚡PRO BUILDER⚡ The Diagrams Pro Builder excels at visualizing codes and databases. It is capable of understanding complex relationships in data and creating visual outputs in the form of flowcharts, charts, and sequences. Other outputs include database diagrams and code visualizations.

Data Science 363

Data Science Data Analysis Data Analysis Machine Learning 363

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

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Dataconomy

MARCH 17, 2025

This capability, rooted in the sophisticated world of Natural Language Processing (NLP), removes the barriers that often complicate data retrieval and analysis, making insights accessible to everyone, regardless of their technical expertise. What is Natural Language Query (NLQ)?

Natural Language Processing 91

Natural Language Processing Power BI Analytics Analytics 91

The Data Administration Newsletter

JANUARY 3, 2023

NoSQL database systems continue to gain traction, but they are still not widely understood. There is more than one type of NoSQL database and a large number of individual NoSQL DBMSs.

Database 84

Database Data Models Data Modeling Business Intelligence 84

Smart Data Collective

AUGUST 12, 2022

Organizations that need servers for their databases or cloud computing can’t just go out and buy the first option that presents itself, though. Random Access Memory will help determine how fast a server can process data in different formats, so you don’t want to skimp on this feature. Type of database. MS SQL Server.

Cloud Computing 81

Cloud Computing Database SQL System Architecture 81

Dataconomy

MARCH 20, 2025

With efficient ETL practices, organizations can maintain high data quality and relevant structures. Database replication Alongside ETL, database replication ensures that data marts are updated consistently. It relies on the data warehouse for its information and ensures consistency across the organization.

Data Warehouse 91

Data Warehouse ETL Data Quality Database 91

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery.

Database 59

Database Azure Analytics SQL 59

Smart Data Collective

JANUARY 26, 2021

We covered the benefits of using machine learning and other big data tools in translations in the past. However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into.

Big Data 141

Big Data Big Data Business Intelligence Business Intelligence 141

Smart Data Collective

JUNE 16, 2022

Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Trend analysis, financial reporting, and sales forecasting are frequently aided by OLAP business intelligence queries. ( see more ).

Analytics 139

Analytics Analytics Data Scientist Data Warehouse 139

ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. This ensures data consistency and integrity.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

Data Science Dojo

FEBRUARY 23, 2024

Diagrams ⚡PRO BUILDER⚡ The Diagrams Pro Builder excels at visualizing codes and databases. It is capable of understanding complex relationships in data and creating visual outputs in the form of flowcharts, charts, and sequences. Other outputs include database diagrams and code visualizations.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Dataconomy

SEPTEMBER 4, 2023

Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Data Science Dojo

JANUARY 16, 2023

Every individual analysis the data obtained via their experience to generate a final decision. Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Data Science Dojo

FEBRUARY 23, 2024

Diagrams ⚡PRO BUILDER⚡ The Diagrams Pro Builder excels at visualizing codes and databases. It is capable of understanding complex relationships in data and creating visual outputs in the form of flowcharts, charts, and sequences. Other outputs include database diagrams and code visualizations.

Data Science 195

Data Science Data Analysis Data Analysis ML 195

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses. Let’s break down each step: 1.

ETL 105

ETL Data Quality Data Warehouse Analytics 105

Pickl AI

MARCH 19, 2025

Without data engineering , companies would struggle to analyse information and make informed decisions. What Does a Data Engineer Do? A data engineer creates and manages the pipelines that transfer data from different sources to databases or cloud storage. How is Data Engineering Different from Data Science?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

NOVEMBER 22, 2024

It allows users to create interactive and shareable dashboards that visualise data in a variety of formats. Wide Range of Data Sources : Connects to databases, spreadsheets, and Big Data platforms. Advanced Analytics : Offers capabilities for data cleaning, transformation, and custom calculations.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. Release v1.0

Tableau 145

Tableau ML ML Database 145

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Its costs are associated with its enterprise-focused features and advanced data modeling capabilities.

Big Data 52

Big Data Big Data Power BI Tableau 52

ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. in an enterprise data warehouse. What is a Datamart?

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

Pickl AI

FEBRUARY 18, 2025

Summary: Power BI is a business analytics tool transforming data into actionable insights. Key features include AI-powered analytics, extensive data connectivity, customisation options, and robust data modelling. These components work together to facilitate effective data analysis. Why Power BI?

Power BI 52

Power BI Azure Business Intelligence Business Intelligence 52

Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. Introduction RDBMS is the foundation for structured data management. These databases store data in tables, which consist of rows and columns.

Database 52

Database SQL Big Data Analytics 52

ODSC - Open Data Science

NOVEMBER 19, 2024

ODSC West 2024 showcased a wide range of talks and workshops from leading data science, AI, and machine learning experts. This blog highlights some of the most impactful AI slides from the world’s best data science instructors, focusing on cutting-edge advancements in AI, data modeling, and deployment strategies.

Deep Learning 52

Deep Learning Deep Learning Data Science AI 52

phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Microsoft Power BI has been the leader in the analytics and business intelligence platforms category for several years running.

Power BI 84

Power BI Analytics Analytics Azure 84

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Snowflake data cloud provides IP whitelisting to restrict access to data to authorized users.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Dataconomy

OCTOBER 17, 2023

To start with, a good design in the data warehouse allows an organization to store large volumes of information in one place that is very easy to access as well as analyze. This enhances business intelligence since it helps organizations make better decisions for their businesses.

Data Warehouse 103

Data Warehouse Big Data Big Data ETL 103

Pickl AI

DECEMBER 17, 2024

Understand their key differences to choose the right database for your project. Introduction Relational database management systems ( RDBMS ) are essential for efficiently handling, storing, and organising structured data. It is open-source and uses Structured Query Language (SQL) to manage and manipulate data.

Database 52

Database SQL Analytics Analytics 52

phData

OCTOBER 10, 2024

While you likely are already familiar with Epic, there are two key components for data management to consider: Clarity: Epic’s replication of its operational database that is tailored for customer use. Caboodle: Epic’s data mart, essentially Clarity data modeled for business intelligence (BI) and analytics.

Data Modeling 52

Data Modeling Data Models ML ML 52

Tableau

DECEMBER 1, 2021

Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. Release v1.0

Tableau 98

Tableau ML ML Database 98