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#Empower Your Data Scientists
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Deploy Spark-Hadoop in less than 30 minutes

Hadoop, Apache Spark

Suppose that we want to install an Apache Hadoop cluster with 3 Hadoop Slaves. On top of that we deploy Spark, which can be used for processing the data stored on HDFS and Zeppelin to visualize the data after it has been processed.

Why Your Data Scientists are not Innovating Fast Enough

Big Data, cloud computing, micro services

Data scientists and data engineers are in high demand these days. For instance, I see marketing agencies quickly hiring a “data scientist" out of fear for missing the "big data train" or they are afraid of missing business because they cannot prove being enough “data driven”. But for most other organisations, their main goal for hiring big data specialists is optimizing internal operations and obtain insights in customer behaviour and potential new trends.

Tengu: data scientists’ toolbox for easier and faster Big Data analysis

Big Data

In a (big) data-driven world, a lot of pressure is put on data scientists to make sense of the massive amount of information companies have stored.

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