Author: LearnAnalytics

Comparing Hadoop, MapReduce, Spark, Flink, and Storm

Comparing Hadoop, MapReduce, Spark, Flink, and Storm

Companies that need to work with large sets of data have a range of big data, open-source frameworks and solutions from which to choose. Each solution has a different set of advantages, disadvantages and ideal applications. If you're new to Big Data, you may have heard some of these terms. Below we provide a brief … Continue reading Comparing Hadoop, MapReduce, Spark, Flink, and Storm

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Real-time Big Data Pipeline with Hadoop, Spark & Kafka

Real-time Big Data Pipeline with Hadoop, Spark & Kafka

Defined by 3Vs that are velocity, volume, and variety of the data, big data sits in the separate row from the regular data. Though big data was the buzzword since last few years for data analysis, the new fuss about big data analytics is to build up real-time big data pipeline. In a single sentence, … Continue reading Real-time Big Data Pipeline with Hadoop, Spark & Kafka

Top 3 trends leading to multicloud adoption

Top 3 trends leading to multicloud adoption

Martec’s law states, “Technology changes exponentially; organizations change logarithmically.” Translation? Technology will accelerate faster than companies can adapt to increasing data growth and adopt new business models. http://www.youtube.com/watch?v=-dd9TEHoi9I In 2019, trends are emerging across industries for business models such as fully managed services. The drivers and challenges for platform modernization include: 1. Explosive data growth … Continue reading Top 3 trends leading to multicloud adoption

Difference between Data Mining and KDD

Difference between Data Mining and KDD

Data, in its raw form, is just a collection of things, where little information might be derived. Together with the development of information discovery methods(Data Mining and KDD), the value of the info is significantly improved. Data mining is one among the steps of Knowledge Discovery in Databases(KDD) as can be shown by the image … Continue reading Difference between Data Mining and KDD

Difference between Data Mining and Data Warehouse

Difference between Data Mining and Data Warehouse

What is Data warehouse? A data warehouse is a technique for collecting and managing data from varied sources to provide meaningful business insights. It is a blend of technologies and components which allows the strategic use of data. Data Warehouse is electronic storage of a large amount of information by a business which is designed … Continue reading Difference between Data Mining and Data Warehouse