It’s in the nature of hype bubbles to obscure important new paradigms behind a cloud of excitement and exaggerated claims. For example, the phrase “big data” has been so widely and poorly applied that ...

Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

Hadoop training courses and certification programs are available from companies including Cloudera, Hortonworks, IBM and MapR. But if you’re not ready to commit to formal training courses, there are ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

Data science is an interdisciplinary sphere of study that has gained traction over the years, given the sheer amount of data we produce on a daily basis — projected to be over 2.5 quintillion bytes of ...

In a world of real-time data, why are we still so fixated on Hadoop? Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces ...

Java devs looking to explore or work in data science may need another language up their sleeves. Python and R are common Java alternatives for data science. Continue Reading ...

Many open-source architectures such as Hadoop data lakes, Storm, and even data warehousing methods have been touted as solutions to these types of “Big Data” challenges. However, these approaches ...

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