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Data analytics

Dataconomy

Diagnostic analytics Diagnostic analytics explores historical data to explain the reasons behind events. 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.

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

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.

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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Data processing is another skill vital to staying relevant in the analytics field.

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Top 5 Challenges faced by Data Scientists

Pickl AI

Some of the tools used by Data Science in 2023 include statistical analysis system (SAS), Apache, Hadoop, and Tableau. Additionally, you should attend conferences and events like webinars and learn from your peers and experts. It contains data clustering, classification, anomaly detection and time-series forecasting.