AWS Managed Kafka and Apache Kafka, a distributed event streaming platform, has become the de facto standard for building real-time data pipelines. However, ingesting and storing large amounts of ...

During the recent decades, Apache Hadoop and Apache Spark have been the prevailing most powerful frameworks in the age of Big Data analytics. Both Apache Spark and Apache Hadoop have a remarkable ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

Apache Spark and Hadoop, Microsoft Power BI, Jupyter Notebook and Alteryx are among the top data science tools for finding business insights. Compare their features, pros and cons. While data has its ...

The MongoDB Connector for Hadoop is a library which allows MongoDB (or backup files in its data format, BSON) to be used as an input source, or output destination, for Hadoop MapReduce tasks. It is ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, ...

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