Dataconomy

JULY 28, 2023

Here are some of the best data preprocessing tools of 2023: Microsoft Power BI Tableau Trifacta Talend Toad Data Point Power Query Microsoft Power BI Microsoft Power BI is a comprehensive data preparation tool that allows users to create reports with multiple complex data sources.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

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

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. Additionally, gaining experience through internships or entry-level positions can help individuals build a strong foundation in BI and advance their careers.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI developer:  A BI developer is responsible for designing and implementing BI solutions, including data warehouses, ETL processes, and reports. Additionally, gaining experience through internships or entry-level positions can help individuals build a strong foundation in BI and advance their careers.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

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 SQL 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.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? Explain the Extract, Transform, Load (ETL) process. The ETL process involves extracting data from source systems, transforming it into a suitable format or structure, and loading it into a data warehouse or target system for analysis and reporting.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52