Business Intelligence, Data Science and ETL - Artificial Intelligence Zone

A beginner tale of Data Science

Becoming Human

JANUARY 23, 2023

Data Science You heard this term most of the time all over the internet, as well this is the most concerning topic for newbies who want to enter the world of data but don’t know the actual meaning of it. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

Data Science

Data Science Big Data Data Mining Deep Learning

Best Data Engineering Tools Every Engineer Should Know

Pickl AI

MARCH 19, 2025

Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Introduction Imagine a world where data is a messy jungle, and we need smart tools to turn it into useful insights.

Big Data

Big Data Automation Data Science Python

How to Shift from Data Science to Data Engineering

ODSC - Open Data Science

JANUARY 18, 2024

These professionals will work with their colleagues to ensure that data is accessible, with proper access. So let’s go through each step one by one, and help you build a roadmap toward becoming a data engineer. Identify your existing data science strengths. Stay on top of data engineering trends. Get more training!

Data Science

Data Science ETL Data Scientist Machine Learning

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Data architecture strategy for data quality

IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality

Data Quality Metadata Big Data ETL

Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning

Machine Learning Metadata Automation AI

Data Version Control for Data Lakes: Handling the Changes in Large Scale

ODSC - Open Data Science

SEPTEMBER 27, 2023

Data Warehouses and Relational Databases It is essential to distinguish data lakes from data warehouses and relational databases, as each serves different purposes and has distinct characteristics. Schema Enforcement: Data warehouses use a “schema-on-write” approach. You can connect with her on Linkedin.

Big Data

Big Data Metadata ETL Data Science

A Beginner’s Guide to Data Warehousing

Unite.AI

DECEMBER 5, 2023

This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? Data warehousing is a data management system to support Business Intelligence (BI) operations. It can handle vast amounts of data and facilitate complex queries.

Metadata

Metadata Big Data ETL Data Mining

Introduction to Power BI Datamarts

ODSC - Open Data Science

JUNE 12, 2023

Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

ETL

ETL Business Intelligence Data Science Data Analysis

Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Pickl AI

NOVEMBER 15, 2023

On the other hand, a Data Warehouse is a structured storage system designed for efficient querying and analysis. It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. It often serves as a source for Data Warehouses.

ETL

ETL Metadata Business Intelligence Data Analysis

Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

JULY 17, 2023

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

Machine Learning

Machine Learning Data Mining Data Scientist Data Science

Popular Data Transformation Tools: Importance and Best Practices

Pickl AI

OCTOBER 10, 2024

Inconsistent or unstructured data can lead to faulty insights, so transformation helps standardise data, ensuring it aligns with the requirements of Analytics, Machine Learning , or Business Intelligence tools. This makes drawing actionable insights, spotting patterns, and making data-driven decisions easier.

ETL

ETL Data Quality Machine Learning Business Intelligence

Top Data Analytics Courses

Marktechpost

AUGUST 27, 2024

Data Analytics Basics for Everyone This IBM course introduces learners to the components of a modern data ecosystem, the roles of Data Analysts, Data Scientists, and Data Engineers, and the tasks they perform, such as data gathering, wrangling, mining, analysis, and communication.

Data Analysis

Data Analysis Python Data Scientist Big Data

Navigating Data Solutions: CDP, MDM, Lakes, Warehouses, Marts, Feature Stores, ERP”

TransOrg Analytics

AUGUST 9, 2024

Data Integration: Integrates data from multiple sources, providing a comprehensive view for business intelligence. Consistency and Accuracy : Ensures high data quality with consistent formatting and validation. Rigid Structure : Less flexible in handling unstructured data compared to data lakes.

Machine Learning

Machine Learning ETL Big Data Data Quality

Drowning in Data? A Data Lake May Be Your Lifesaver

ODSC - Open Data Science

SEPTEMBER 29, 2023

In today’s digital world, data is king. Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. But, the amount of data companies must manage is growing at a staggering rate.

Big Data

Big Data ETL Data Science Data Ingestion

Hierarchies in Dimensional Modelling

Pickl AI

AUGUST 9, 2024

Real-world examples illustrate their application, while tools and technologies facilitate effective hierarchical data management in various industries. Data Modelling Tools Tools such as ER/Studio, Oracle SQL Developer Data Modeler, and IBM InfoSphere Data Architect allow users to design and visualise hierarchies within dimensional models.

ETL

ETL Business Intelligence Data Quality Data Analysis

Differentiation: Microsoft Fabric vs Power BI

Pickl AI

DECEMBER 16, 2024

Its core components include: Lakehouse : Offers robust data storage and processing capabilities. Data Factory : Simplifies the creation of ETL pipelines to integrate data from diverse sources. Developed by Microsoft, it is designed to simplify Data Analysis for users at all levels, from beginners to advanced analysts.

ETL

ETL Data Ingestion Data Integration Machine Learning

A brief history of Data Engineering: From IDS to Real-Time streaming

Artificial Corner

JUNE 6, 2023

This period also saw the development of the first data warehouses, large storage repositories that held data from different sources in a consistent format. The concept of data warehousing was introduced by Bill Inmon, often referred to as the “father of data warehousing.” APIs are open and compatible with Apache Spark.

Data Mining

Data Mining Big Data ETL Machine Learning

Top Data Analytics Trends Shaping 2025

Pickl AI

DECEMBER 10, 2024

A unified data fabric also enhances data security by enabling centralised governance and compliance management across all platforms. Automated Data Integration and ETL Tools The rise of no-code and low-code tools is transforming data integration and Extract, Transform, and Load (ETL) processes.

Explainable AI

Explainable AI Explainability ETL Automation

Best Practices for Fact Tables in Dimensional Models

Pickl AI

AUGUST 11, 2024

ETL Tools Informatica, Talend, and Apache Airflow enable the extraction of data from source systems, transformation into the desired format, and loading into the dimensional model. These tools are essential for populating fact tables with accurate and timely data.

Data Quality

Data Quality Business Intelligence ETL Data Integration

Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.

Data Analysis

Data Analysis Machine Learning ETL Explainability

Unlock Productivity: How to Use AI in Excel for Smart Solutions

Pickl AI

SEPTEMBER 10, 2024

Users can quickly identify key trends, outliers , and data relationships, making it easier to make informed decisions based on comprehensive, AI-powered analysis. Power Query Power Query is another transformative AI tool that simplifies data extraction, transformation, and loading ( ETL ).

Data Analysis

Data Analysis Machine Learning Automation AI Tools

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series

Unite.AI

MAY 21, 2024

As a high-performance analytics database provider, Exasol has remained ahead of the curve when it comes to helping businesses do more with less. We help companies transform business intelligence (BI) into better insights with Exasol Espresso, our versatile query engine that plugs into existing data stacks.

Software Development

Software Development Business Intelligence ETL Data Quality

Top Data Analytics Courses

Marktechpost

NOVEMBER 23, 2024

Data Analytics Basics for Everyone This IBM course introduces learners to the components of a modern data ecosystem, the roles of Data Analysts, Data Scientists, and Data Engineers, and the tasks they perform, such as data gathering, wrangling, mining, analysis, and communication.

Data Analysis

Data Analysis Python Data Scientist Big Data

What is Open Database Connectivity (ODBC) and Why Is It Important?

Pickl AI

NOVEMBER 4, 2024

Enhanced Data Integration ODBC facilitates seamless data integration across platforms and applications, making it an ideal solution for business intelligence tools and reporting systems. These advantages make ODBC a vital component in modern data-driven applications, fostering connectivity and efficiency.

ETL

ETL Data Integration Business Intelligence Python

Difference Between JDBC and ODBC in Database Connectivity

Pickl AI

NOVEMBER 5, 2024

For instance, reporting and analytics tools commonly use it to pull data from various database systems. ODBC also supports cross-platform applications in Data Warehousing, Business Intelligence, and ETL (Extract, Transform, Load) processes, allowing seamless data manipulation from various sources.

Python

Python ETL Business Intelligence Data Analysis

Artificial Intelligence Zone

A beginner tale of Data Science

Best Data Engineering Tools Every Engineer Should Know

Webinars

Trending Sources

How to Shift from Data Science to Data Engineering

Webinars

Data architecture strategy for data quality

Exploring the AI and data capabilities of watsonx

Data Version Control for Data Lakes: Handling the Changes in Large Scale

A Beginner’s Guide to Data Warehousing

Introduction to Power BI Datamarts

Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Top Predictive Analytics Tools/Platforms (2023)

Popular Data Transformation Tools: Importance and Best Practices

Top Data Analytics Courses

Navigating Data Solutions: CDP, MDM, Lakes, Warehouses, Marts, Feature Stores, ERP”

Drowning in Data? A Data Lake May Be Your Lifesaver

Hierarchies in Dimensional Modelling

Differentiation: Microsoft Fabric vs Power BI

A brief history of Data Engineering: From IDS to Real-Time streaming

Top Data Analytics Trends Shaping 2025

Best Practices for Fact Tables in Dimensional Models

Top 50+ Data Analyst Interview Questions & Answers

Unlock Productivity: How to Use AI in Excel for Smart Solutions

Mathias Golombek, Chief Technology Officer of Exasol – Interview Series

Top Data Analytics Courses

What is Open Database Connectivity (ODBC) and Why Is It Important?

Difference Between JDBC and ODBC in Database Connectivity

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