Data Science Dojo

JULY 6, 2023

Amazon Redshift: Amazon Redshift is a cloud-based data warehousing service provided by Amazon Web Services (AWS). It integrates seamlessly with other AWS services and supports various data integration and transformation workflows. 10 Tableau: Tableau is a widely used business intelligence and data visualization tool.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

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. Statistics : According to AWS reports, EMR reduces the time required for Big Data processing tasks by up to 90% compared to traditional methods.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

Pickl AI

JUNE 5, 2025

Visualization and Reporting: Creating dashboards and reports using tools like Tableau or Power BI to communicate insights effectively to non-technical stakeholders, including management and clients. Data Visualization: Ability to create intuitive visualizations using Matplotlib, Seaborn, Tableau, or Power BI to convey insights clearly.

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). Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. Data Scientists require a robust technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Data Science Dojo

MAY 24, 2024

Java is also widely used in big data technologies, supported by powerful Java-based tools like Apache Hadoop and Spark, which are essential for data processing in AI. Tools like Matplotlib, Seaborn, or Tableau help in creating understandable and visually appealing representations of complex data sets and results.

Deep Learning 195

Deep Learning Deep Learning Machine Learning Machine Learning 195

Women in Big Data

OCTOBER 9, 2024

Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts. This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue.

Big Data 59

Big Data Big Data Apache Kafka Data Pipeline 59

Pickl AI

JULY 25, 2023

Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc. Data Warehousing: Amazon Redshift, Google BigQuery, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52