Deepak Vohra

Deepak is a Sun Certified Java Programmer and Web Component Developer, and has worked in the fields of XML, Java programming and Java EE for ten years. Deepak is the co-author of the Apress book Pro XML Development with Java Technology and was the technical reviewer for the O'Reilly book WebLogic: The Definitive Guide. Deepak was also the technical reviewer for the Course Technology PTR book Ruby Programming for the Absolute Beginner. Deepak is also the author of the Packt Publishing books JDBC 4.0 and Oracle JDeveloper for J2EE Development, Processing XML Documents with Oracle JDeveloper 11g, EJB 3.0 Database Persistence with Oracle Fusion Middleware 11g, and Java EE Development in Eclipse IDE. Deepak is a Docker Mentor and has published 5 books on Docker and Kubernetes.

All Stories by Deepak Vohra

Choosing between MySQL and PostgreSQL

MySQL and PostgreSQL are the top two open source relational databases, and they have a lot in common. So how can developers choose between them? The application should guide the features that need to be prioritized. Here’s how the two databases compare with regard to the features that most relational databases support.

Why Choose Containerization?

Containers have been adopted by many organizations. Docker is the most popular and has become the standard containerization platform, though there are others. But why use containerization? What are the advantages that spurred its adoption? Let’s look at some of the factors that govern the choice of containerization.

When to Use MapReduce with Big Data

MapReduce is a programming model for distributed computation on big data sets in parallel. It's a module in the Apache Hadoop open source ecosystem, and a range of queries may be done based on the algorithms available. Here's when it's suitable (and not suitable) to use MapReduce for generating and processing data.

Migrating to the Cloud: Which Model Is Right for You?

Cloud computing is a relatively recent trend, and several organizations have opted to migrate their services and data to the cloud. Which of the cloud computing models available is right for which situation? Let’s look at the three options—public, private, and hybrid—and discuss when it's a good idea to use each one.

Continuous Automation, from Source Code to Production

Automation is necessary to achieve the benefits of DevOps principles, so teams may use automation at every step of software development. Depending on how frequently and confidently a team deploys code, they can use automation to enable continuous integration, continuous delivery, and, finally, continuous deployment.

Migrating a Database? Consider These Factors First

Database migration is usually performed with a migration tool or service. Migrating one database to another actually involves migrating the schemas, tables, and data; the software itself is not migrated. Whatever the reason for migration, before you start, explore the options and take these considerations into account.

Before Data Analysis, You Need Data Preparation

One of the prerequisites for any type of analytics in data science is data preparation. Raw data usually has several shortcomings in structure, format, and consistency, so first it has to be converted to a usable form. These are some types of data preparation you can conduct to make your data useful for analysis.