Dataconomy

MARCH 24, 2023

In this article, we will explore the importance of BI in today’s business landscape, the skills and qualifications needed for a career in BI, and the opportunities available in this growing field. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

phData

AUGUST 9, 2024

It is extremely labor intensive, and the team wants to automate it using Snowflake and Tableau. Snowflake can not natively read files on these services, so an ETL service is needed to upload the data. ETL applications are often expensive and require some level of expertise to run. What is Reference Data?

ETL 52

ETL Data Warehouse Data Governance Tableau 52

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc. ETL Tools: Apache NiFi, Talend, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. Read more to know. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

ODSC - Open Data Science

APRIL 3, 2023

Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis. Competence in data quality, databases, and ETL (Extract, Transform, Load) are essential. As you see, there are a number of reporting platforms as expected.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

DataSeries

AUGUST 15, 2024

In this article, let’s understand an explanation of how to enhance problem-solving skills as a data engineer. Familiarize with data visualization techniques and tools like Matplotlib, Seaborn, Tableau, or Power BI. Hadoop, Spark).

Data Engineering 40

Data Engineering Data Engineering Data Engineer Data Engineering 40

Pickl AI

APRIL 26, 2024

This article aims to guide you through the intricacies of Data Analyst interviews, offering valuable insights with a comprehensive list of top questions. By the end of this article, you’ll explore data analytics certification courses that will significantly help you advance your career in the data domain.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

phData

FEBRUARY 14, 2023

Matillion Matillion is a complete ETL tool that integrates with an extensive list of pre-built data source connectors, loads data into cloud data environments such as Snowflake, and then performs transformations to make data consumable by analytics tools such as Tableau and PowerBI. The biggest reason is the ease of use.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Alation

JANUARY 25, 2022

Alation partners such as Dataiku, Trifacta, and Tableau are perfect examples. On the process side, DataOps is essentially an agile and unified approach to building data movements and transformation pipelines (think streaming and modern ETL). See Gartner’s “ How DataOps Amplifies Data and Analytics Business Value ”).

DataOps 52

DataOps SQL ML ML 52

Dataconomy

MARCH 7, 2025

Whether its crafting SEO-optimized articles or personalized email drafts, Jasper accelerates content workflows while maintaining human-like fluency. 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