Data Science Dojo

JULY 6, 2023

These tools provide data engineers with the necessary capabilities to efficiently extract, transform, and load (ETL) data, build data pipelines, and prepare data for analysis and consumption by other applications. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Dataconomy

JUNE 10, 2025

Following these steps ensures the validity and usefulness of insights derived from data. Data collection Gathering data from diverse sources is essential, ensuring integration from various platforms to get a comprehensive view. Amazon QuickSight: A platform for visualizing data insights.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Pickl AI

JUNE 5, 2025

Key Responsibilities of a Data Scientist in India While the core responsibilities align with global standards, Indian data scientists often face unique challenges and opportunities shaped by the local market: Data Acquisition and Cleaning: Extracting data from diverse sources including legacy systems, cloud platforms, and third-party APIs.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Pickl AI

DECEMBER 25, 2024

Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Data Scientists require a robust technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Pickl AI

DECEMBER 2, 2024

Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

NOVEMBER 25, 2024

Understanding these enhances insights into data management challenges and opportunities, enabling organisations to maximise the benefits derived from their data assets. Veracity Veracity refers to the trustworthiness and accuracy of the data. Value Value emphasises the importance of extracting meaningful insights from data.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52

Pickl AI

JULY 25, 2023

Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. Domain Knowledge: Understanding the specific domain where they apply data analysis. Data Quality and Governance Ensuring data quality is a critical aspect of a Data Engineer’s role.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52