Women in Big Data

OCTOBER 9, 2024

After this, the data is analyzed, business logic is applied, and it is processed for further analytical tasks like visualization or machine learning. Big data pipelines operate similarly to traditional ETL (Extract, Transform, Load) pipelines but are designed to handle much larger data volumes.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

JANUARY 15, 2025

Business Intelligence tools encompass a variety of software applications designed to collect, process, analyse, and present business data. These tools enable organizations to convert raw data into actionable insights through various means such as reporting, analytics, data visualization, and performance management.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

FEBRUARY 4, 2024

Users can effortlessly extract data from sources like SQL Server, Excel, Tableau, and even social media platforms. Once collected, Alteryx offers an intuitive interface for cleaning and preparing data through a drag-and-drop mechanism. This eliminates the need for coding, making data tasks more accessible.

Data Preparation 52

Data Preparation Tableau Data Visualization SQL 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 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 Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Alation

JANUARY 17, 2023

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 ingestion/integration services. Reverse ETL tools. Data orchestration tools. A Note on the Shift from ETL to ELT.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Dataconomy

JULY 28, 2023

These tools offer a wide range of functionalities to handle complex data preparation tasks efficiently. Microsoft Power BI has been recently added to Microsoft’s most advanced data solution, Microsoft Fabric ( Image Credit ) Tableau Tableau is a powerful data preparation tool that serves as a solid foundation for data analytics.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JANUARY 28, 2025

Data Integration Once data is collected from various sources, it needs to be integrated into a cohesive format. Data Quality Management : Ensures that the integrated data is accurate, consistent, and reliable for analysis. These tools work together to facilitate efficient data management and analysis processes.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

They may also be involved in data modeling and database design. BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. They may also be involved in data integration and data quality assurance.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

ODSC - Open Data Science

APRIL 6, 2023

This allows for it to be integrated with many different tools and technologies to improve data management and analysis workflows. One set of tools that are becoming more important in our data-driven world is BI tools. Think of Tableau, Power BI, and QlikView.

SQL 98

SQL Data Scientist Database Data Science 98

DataSeries

AUGUST 15, 2024

Knowledge of Core Data Engineering Concepts Ensure one possess a strong foundation in core data engineering concepts, which include data structures, algorithms, database management systems, data modeling , data warehousing , ETL (Extract, Transform, Load) processes, and distributed computing frameworks (e.g.,

Data Engineering 40

Data Engineering Data Engineering Data Engineer Data Engineering 40

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

AUGUST 9, 2024

Data Integration Tools Technologies such as Apache NiFi and Talend help in the seamless integration of data from various sources into a unified system for analysis. Understanding ETL (Extract, Transform, Load) processes is vital for students. Understanding how to assess model performance is crucial for data scientists.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

phData

FEBRUARY 29, 2024

database permissions, ETL capability, processing, etc.), it has to be done using custom SQL in Tableau? Hopefully, you don’t run into this scenario because joining and querying multiple tables in Tableau using custom SQL is not recommended due to its impact on performance.

Tableau 52

Tableau SQL Database ETL 52

ODSC - Open Data Science

MARCH 12, 2025

Data Engineerings SteadyGrowth 20182021: Data engineering was often mentioned but overshadowed by modeling advancements. 20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineer 52

Pickl AI

MARCH 19, 2025

Apache Airflow Apache Airflow is a workflow automation tool that allows data engineers to schedule, monitor, and manage data pipelines efficiently. It helps streamline data processing tasks and ensures reliable execution. It helps organisations understand their data better and make informed decisions.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Dataconomy

MARCH 7, 2025

KNIME KNIME is a powerful open-source platform for data analytics that integrates AI to automate workflows, analyze trends, and generate reports. Businesses use it for ETL (extract, transform, load) processes, predictive modeling, and statistical analysis , making it a flexible solution for advanced data analysis.

AI 91

AI AI Machine Learning Machine Learning 91