Almost 30% of companies outsourced IT services, and 78% are satisfied. Software development outsourcing can bring big benefits to your business, but there are significant risks and challenges when negotiating and managing outsourcing relationships. Here, we present 10 outsourcing best practices you should adhere to when outsourcing software development.
The stakes are high when you’re investing significant capital, resources, and time into an outsourced software development project. You want to choose the right vendor, but with over 23,000 companies offering custom development services on Clutch.co alone, the sheer number of options can be overwhelming.
The internet is filled with great codes. They form the bedrock on which various infrastructures are built. Even the very platform you are reading this on is built with a dedication to creating great codes. While the average user isn’t going to take note of this, good developers, on the other hand, are always seeking to make their applications (and hence, their coding) better.
If you need web scraping, Python is the go-to language for you. But knowing that it’s the right language to use does not mean we should start coding from scratch. Instead, we have two very appealing options to choose from.
At some time in every developer’s life, they reach a point where they just want things to work. No long workarounds, no trade-off, and no endless stream of rewrites that will keep them awake for hours on end. We recently arrived at this point. Thus started our search for a simple yet effective language that just works.
I was tasked with a project that involved choosing between AWS Kinesis vs Kafka. The choice, as I found out, was not an easy one and had a lot of factors to be taken into consideration and the winner could surprise you. In this article I will help to choose between AWS Kinesis vs Kafka with a detailed features comparison and costs analysis.
Text data the most common form of information on the Internet, whether it be reviews, tweets or web pages. Natural Language Processing (NLP) is a powerful technology that helps you derive immense value from that data. In this article, we will look at the most popular Python NLP libraries, their features, pros, cons, and use cases.
Django describes itself as "the web framework for perfectionists with deadlines". It was designed to help Python developers take applications from concept to completion as quickly as possible. Learn advantages and disadvantages of Django.
AWS provides the most comprehensive, secure, and cost-effective portfolio of services for every step of building a data lake and analytics architecture. These services include data migration, cloud infrastructure, management tools, analytics services, visualization tools, and machine learning. In this post we analyze the available solutions.
New data-driven apps, data lake architectures, products, and services create more data that can be stored and managed in the cloud, which allows organizations to develop new capabilities and apps, gain new insights, and deliver new products. Presented strategy is a step-wise, repeatable process, which must be run project by project, like turning a flywheel, building momentum with each turn.