Apache Hadoop and Tableau - Data Science Current

Essential data engineering tools for 2023: Empowering for management and analysis

Data Science Dojo

JULY 6, 2023

Apache Hadoop: Apache Hadoop is an open-source framework for distributed storage and processing of large datasets. 10 Tableau: Tableau is a widely used business intelligence and data visualization tool. Tableau connects to various data sources, including data warehouses, spreadsheets, and cloud services.

Data Engineering

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Data analytics

Dataconomy

JUNE 10, 2025

Apache Spark: A framework for processing large-scale data. Tableau: Widely used for creating interactive dashboards and reports. Apache Hadoop: An essential tool for big data processing and storage. Amazon QuickSight: A platform for visualizing data insights.

Analytics

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Top Big Data Tools Every Data Professional Should Know

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. Tableau Tableau is a powerful business intelligence tool that helps visualize data in an interactive manner through dashboards and reports.

Big Data

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Data Scientist Job Description – What Companies Look For in 2025

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

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Business Analytics vs Data Science: Which One Is Right for You?

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

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6 Data And Analytics Trends To Prepare For In 2020

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

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10 Must-Have AI Engineering Skills in 2024

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

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Navigating the Big Data Frontier: A Guide to Efficient Handling

Women in Big Data

OCTOBER 9, 2024

This phase ensures quality and consistency using frameworks like Apache Spark or AWS Glue. Batch Processing: For large datasets, frameworks like Apache Hadoop MapReduce or Apache Spark are used. Stream Processing: Real-time data is processed using tools like Apache Kafka or Apache Flink.

Big Data

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A Comprehensive Guide to the main components of Big Data

Pickl AI

DECEMBER 2, 2024

These frameworks facilitate the efficient processing of Big Data, enabling organisations to derive insights quickly.Some popular frameworks include: Apache Hadoop: An open-source framework that allows for distributed processing of large datasets across clusters of computers. It is known for its high fault tolerance and scalability.

Big Data

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

NOVEMBER 25, 2024

These frameworks facilitate the efficient processing of Big Data, enabling organisations to derive insights quickly.Some popular frameworks include: Apache Hadoop: An open-source framework that allows for distributed processing of large datasets across clusters of computers. It is known for its high fault tolerance and scalability.

Big Data

Big Data Big Data Data Lakes Apache Hadoop

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

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. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering

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Top 5 Challenges faced by Data Scientists

Pickl AI

MARCH 10, 2023

Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau. It contains data clustering, classification, anomaly detection and time-series forecasting. Others have Knime, RapidMiner, PowerBI, Python, Jupyter, Microsoft HDInsight, etc.

Data Scientist

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Introduction to R Programming For Data Science

Pickl AI

JULY 10, 2023

Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark. Esquisse: One of the most essential tableau features that has been introduced within the R libraries is Esquisse.

Data Science

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Best Resources for Kids to learn Data Science with Python

Pickl AI

MAY 31, 2023

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 Visualisation: The ability to present insights effectively through visualisation of data is an appreciated skill.

Data Science

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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre.

Big Data

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