MySql

Big Data Evolution: Migrating on-premise database to Hadoop

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

Custom MySQL Docker Instance

Reading Time: 2 minutes Hi folks, I am back with another blog, have you ever been in a situation where you required to set up or mimic the current MySQL instance of any environment. Well recently I have been in such a situation and my use case was to test the overall services so I decided to use minikube for service deployment as a whole, now when I had Continue Reading

BigData Specifications – Part 1 : Configuring MySql Metastore in Apache Hive

Reading Time: 2 minutes Apache Hive is used as a data warehouse over Hadoop to provide users a way to load, analyze and query the data from various resources. Data is stored into databases or file systems like HDFS (Hadoop Distributed File System). Hive can use Spark SQL or HiveQL for the implementation of queries. Now Hive uses its metastore which contains the following information, Ids of tables, Ids Continue Reading

Play Framework 2.0: Connectivity with MySQL in Scala

Reading Time: 1 minute Welcome to another week of KnolX sessions .The emphasis in this session is on How to connect a Play Application with Mysql as database in Scala.Play includes a simple data access layer called Anorm that uses plain SQL to interact with the database and provides an API to parse and transform the resulting datasets. Entire code can be found here: https://github.com/knoldus/FormDemoInPlayWithMysql

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