Dataconomy

MAY 10, 2023

Open source business intelligence software provides a cost-effective and flexible way for businesses to access and analyze their data. Data visualization: Open source BI software offers a range of visualization options, including charts, graphs, and dashboards, to help businesses understand their data and make informed decisions.

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

How to Learn Machine Learning

APRIL 26, 2025

Each component in this ecosystem is very important in the data-driven decision-making process for an organization. Data Sources and Collection Everything in data science begins with data. Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Dataconomy

MAY 26, 2025

Data cleansing and integration: Ensuring data quality through processes that contribute to a centralized data repository (data warehouse or data mart). Iterative analysis: Conducting initial analyses on smaller datasets and refining questions based on findings.

Analytics 91

Analytics Analytics Data Analysis Data Analysis 91

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 Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Women in Big Data

DECEMBER 9, 2024

There is a plethora of BI tools available in the market today, with new ones being added yearly. Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making.

Big Data 52

Big Data Big Data Power BI Tableau 52

Smart Data Collective

JULY 22, 2019

Microsoft Power BI. Microsoft Power BI is a free and powerful business intelligence tool from a world-leading software giant Microsoft. This BI tool allows you to get data and insights in minutes with your smartphone, tablet or laptop. It can analyze practically any size of data.

Business Intelligence 103

Business Intelligence Business Intelligence Power BI Tableau 103

Alation

MARCH 29, 2022

In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. And you should have experience working with big data platforms such as Hadoop or Apache Spark. Data scientists will typically perform data analytics when collecting, cleaning and evaluating data.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JANUARY 15, 2025

These tools enable organizations to convert raw data into actionable insights through various means such as reporting, analytics, data visualization, and performance management. Data Processing: Cleaning and organizing data for analysis.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

MARCH 3, 2025

Essentially, BI bridges the gap between raw data and actionable knowledge. It gathers information from various sources sales databases, marketing platforms, customer feedback, and more and consolidates it into a unified view. Ensuring data accuracy and consistency through cleansing and validation processes.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

JANUARY 28, 2025

They encompass all the origins from which data is collected, including: Internal Data Sources: These include databases, enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, and flat files within an organization. Data can be structured (e.g., databases), semi-structured (e.g.,

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

phData

DECEMBER 12, 2023

Snowflake’s built-for-the-cloud architecture is highly performant and designed to handle large volumes of data and data consumers. Because of its cloud architecture, users do not have to worry about the maintenance of the infrastructure and the database going down at an inopportune time.

Data Warehouse 52

Data Warehouse Machine Learning Machine Learning Tableau 52

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

AUGUST 9, 2024

Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities. Businesses need to analyse data as it streams in to make timely decisions. This diversity requires flexible data processing and storage solutions. js for creating interactive visualisations.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

AUGUST 11, 2024

Retail Sales In a retail data warehouse , the sales fact table might include metrics such as sales revenue, units sold, discounts applied, and profit margins. Web Analytics In a web analytics data warehouse, the page views fact table might include metrics such as total page views, unique visitors, session duration, and bounce rate.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Warehousing: Amazon Redshift, Google BigQuery, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

AUGUST 9, 2024

Real-world Examples To illustrate the practical applications of hierarchies in dimensional modelling, this section explores real-world examples across various industries, showcasing how hierarchies enhance data organisation, analysis, and decision-making.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

Pickl AI

OCTOBER 15, 2024

ETL (Extract, Transform, Load) is a core process in data integration that involves extracting data from various sources, transforming it into a usable format, and loading it into a target system, such as a data warehouse. Data Sources : Evaluate the types and number of data sources you must connect to.

ETL 52

ETL Azure AWS Data Governance 52

Pickl AI

APRIL 26, 2024

SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. The SELECT statement retrieves data from a database, while SELECT DISTINCT eliminates duplicate rows from the result set. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

MAY 7, 2024

Their tasks encompass: Data Collection and Extraction Identify relevant data sources and gather data from various internal and external systems Extract, transform, and load data into a centralized data warehouse or analytics platform Data Cleaning and Preparation Cleanse and standardize data to ensure accuracy, consistency, and completeness.

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

Pickl AI

SEPTEMBER 5, 2024

Azure Synapse Analytics Previously known as Azure SQL Data Warehouse , Azure Synapse Analytics offers a limitless analytics service that combines big data and data warehousing. This service enables Data Scientists to query data on their terms using serverless or provisioned resources at scale.

Azure 52

Azure Data Scientist Data Science Machine Learning 52