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Simplifying Statistics with SQL for Data Analysis

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This is the second article in the series on data analysis. The previous article dealt with pivot tables. This article explores ways to find...

Why SQL Should Be Used for Data Analysis

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A basic knowledge of SQL and its query language is essential for any aspiring data analyst and data scientist. This article discusses SQL and...

The Use of R Packages for Big Data Analytics

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R is a powerful statistical programming language for data science. It consists of powerful packages to deal with Big Data analytics, which is a...

Working with Data Analysis and Relational Databases in Python

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Every day, we generate a huge volume of varied data, which in its raw state, does nothing but occupy space. However, if the data...

Deep Learning of Sequential Data with LSTM

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This brief article presents a method for deep learning of sequential data with LSTM through the use of Keras. “Deep learning allows computational models that...

Things You Can Do to Protect the Privacy of Your Data

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Almost every day, we hear of data breaches in some website or the other. Since the loss of one’s privacy can result in serious...

An Overview of the Private Data Collection Feature in Hyperledger Fabric

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This article is for open source technology enthusiasts with prior experience in Hyperledger Fabric. In cases where a group of organisations on a channel need...

Speeding Up Data Visualisation with Julia

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Today’s real-time applications deal with large volumes of data. The mammoth size of the data makes it mandatory to have powerful visualisation tools. This...

Data Deduplication with a Linux Based File System

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Data deduplication is a specialised technique for compressing data and deleting copies of repeated data. It plays an important role in today’s world of...

Managing the Big Data Deluge in Enterprises with Hadoop

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Data is the new oil of the modern digital economy. Across the globe, enterprises are generating data at a pace like never before. This...