Data Science Dojo

JULY 6, 2023

Apache Hadoop: Apache Hadoop is an open-source framework for distributed storage and processing of large datasets. dbt focuses on transforming raw data into analytics-ready tables using SQL-based transformations. 10 Tableau: Tableau is a widely used business intelligence and data visualization tool.

Data Engineering 195

Data Engineering Data Engineering Data Engineering Data Engineer 195

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

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples. Data processing is another skill vital to staying relevant in the analytics field.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Data Visualization: Matplotlib, Seaborn, Tableau, etc. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

MAY 31, 2023

You should be skilled in using a variety of tools including SQL and Python libraries like Pandas. Tools such as Matplotlib, Seaborn, and Tableau may help you in creating useful visualisations that make challenging data more readily available and understandable to others.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52