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Want to know how to become a data engineer? Here is a list of resources, certifications and other important links that will help you to get started with it.
Docker allows you to create reproducible workflows as a data scientist. This is an introductory guide to get started on use of docker for data science.
In this article, learn how to deploy a machine learning model in production using Flask framework in Python.
In this article we will learn about spark transformations and actions on RDD. These include map, filter, groupby, sample, set, max, min, sum etc on RDDs.
This article provides a comprehensive introduction to Apache Spark, its benefits, APIs, RDDs, Dataframes & solves a machine learning problem
This article explains hadoop distribution file system HDFS) architecture, its components like mapreduce using DMX-h for data integration
List of must read books on big data, apache spark and hadoop for beginners that enable you to a shining Sparking career ahead in big data analytics industry
PIG latin is one of the simplest and commonly used languages in the Hadoop ecosystem. This article explains how to write code in PIG Latin to query Big Data
Developers consider synthetic keys, tables bad in data models. Learn about synthetic keys in qlikview, whether they are good or bad and how to remove them.
This article explains how QVDs (Qlikview data files) and multi-layered data models along with incremental loads can be used to make your application very efficient.
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