Tag Archives: RDBMS

Build an enterprise-scale database of SEC financial data with Bluemix and Cloudant

via Build an enterprise-scale database of SEC financial data with Bluemix and Cloudant.

NoSQL databases are all the rage right now, and for good reason. There’s a huge amount of unstructured or semi-structured data available on the Internet. While loading this data into a traditional RDBMS was cumbersome and difficult, the ability of NoSQLdatabases to dynamically load content in nearly any shape makes putting this unstructured or semi-structured data in an accessible form much easier.

Postgres pushes past MySQL in developer hearts

via Postgres pushes past MySQL in developer hearts – TechRepublic.

Postgres has never been considered cool. Ever the ugly stepchild to MySQL, Postgres disciples were forced to watch MySQL trounce their beloved database in terms of popularity. Even though MySQL offered fewer features, Postgres was forced to play the uncool uncle while MySQL dominated adoption.

Until now.

As seen in recent startup hiring data, Postgres is now the de facto choice for early-stage startup developers looking for a strong relational database management system (RDBMS). The question is why?

Spring XD for Data Ingestion

via Spring 😄 for Data Ingestion | Java Code Geeks.

Spring 😄 is a powerful tool that is an installable set of Spring Boot services that run either standalone, on top of YARN or on top of EC2. Spring 😄 also includes an admin UI website and a command line tool for job and stream management. Spring 😄 is a powerful set of services that work with a variety of datasources.

For ideal usage, it should be running inside an Apache Spark or Hadoop cluster. In the first section we will setup 😄 to run on a Centos/RHEL machine with the necessary data services. These are for the infrastructure required to run and also for data ingestion. You can integrated your existing RDBMS, MongoDB, Kafka, Apache Spark, Hadoop, REST, RabbitMQ and other services.

You can also install 😄 on Mac, Windows and other Linux distributions. For basic usage on a developer machine, just download Spring 😄 from the Spring.IO website and run xd/xd/bin/xd-standalone and that will be sufficient for running data ingestion.

Available Resource: Java Application Delivery Project Lead

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Harish Nagarajan Iyer is Java Application Delivery Project Lead has 12 years of IT Industry experience and 9 years of relevant experience in J2EE and 2 years in Grails. His current location is Mumbai, India and He is willing to relocate anywhere in USA & Canada. His area of expertise are Java EE, Grails/Groovy, RDBMS, Ajax, Javascript, JQuery. He is looking out for Work Sponsorship and he is available with in 2 Months of time. If interested please E-mail him at harishn76@gmail.com or Call him at +91-9820554106.

Video: Migration Best Practices From RDBMS to Cassandra without a Hitch

Libon is a messaging service designed to improve mobile communications through free calls, chat and a voicemail services regardless of operator or Internet access provider. As a mobile communications application, Libon processes billions of messages and calls while backing up billions of contact data. Join this webinar to learn best practices and pitfalls to avoid when tackling a migration project from Relational Database (RDBMS) to Cassandra and how Libon is now able to ingest massive volumes of high velocity data with read and write latency below 10 milliseconds.



Companies ranging from startups to Fortune 500s choose NoSQL to build, improve, and innovate:

The relational database has been the foundation of enterprise data management for over thirty years. But the way we build and run applications today, coupled with growth in data sources and user loads, are pushing relational databases beyond their limits. To address these challenges, companies like Salesforce.com, MTV and Cisco have migrated successfully from relational databases to MongoDB.

This whitepaper provides a step-by-step guide for project teams that want to know how to migrate from an RDBMS to MongoDB. It also explains the considerations for teams that come from relational database backgrounds and want to build new applications on MongoDB.

Download this whitepaper to learn:

  • Schema design, moving from relational tables to flexible and dynamic BSON documents
  • Data integrity, and how MongoDB ensures atomicity, data durability and strong consistency
  • Query model & data analysis in MongoDB
  • Data Migration, including scripts and parallel operations
  • Operational Considerations, like scaling, HA, monitoring, security and backup