Knoldus Blogs

Big Data Evolution: Migrating on-premise database to Hadoop

July 11, 2019July 11, 2019Apache Spark, Big Data and Fast Data, HDFS, Studio-Scala, TableauAnalytics, apache hadoop, Apache Hive, Apache Spark, Big Data, Big Data Analytics, data analysis, Hadoop, Hadoop Distributed File System, HDFS, Hive, MySql, NoSql Database, Spark, Spark with Scala, Tableau

Reading Time: 4 minutes We are now generating massive volumes of data at an accelerated rate. To meet business needs, address changing market dynamics as well as improve decision-making, sophisticated analysis of this data from disparate sources is required. The challenge is how to capture, store and model these massive pools of data effectively in relational databases. Big data is not a fad. We are just at the beginning Continue Reading

Tableau: Getting into Tableau Public

January 12, 2017August 16, 2018Apache Spark, Big Data and Fast Data, Spark, Studio-Scala, TableauBI, Big Data, Big Data Analytics, Business Intelligence, Hadoop, Spark, Tableau, TableauPublic

Reading Time: 2 minutes Big Data visualization and Business Intelligence got so easy using Tableau, millions and billions of records can be analyzed in just one go whether your data format is excel, csv, text or database, Tableau make it easy for you. So finally you have make your mind to generate visualizations using Tableau and want to know what are the heights of Tableau in visualizations?. You are Continue Reading

Business Intelligence-Data Visualization: Tableau

January 11, 2017June 13, 2018Studio-Scala, TableauBI Tools, Big Data, BigData, Business Intelligence, data visualization, Hadoop, nosql, Spark, Tableau

Reading Time: 3 minutes Spark, Bigdata, NoSQL, Hadoop are some of the most using and top in charts technologies that we frequently use in Knoldus, when these terms used than one thing comes into picture is ‘Huge Data, millions/billions of records’ Knoldus developers use these terms frequently, managing (and managing means here- storing data, rectifying data, normalizing it, cleaning it and much more) such amount of data is really Continue Reading