Is data science better than DevOps?

Data Science has a lot to play with data, algorithms, and statistics. On the other hand, DevOps has a lot to do with infrastructure and automation. Dealing with Networks, Server databases and a lot more. You need to decide what kind of work excites you and go ahead with it.

Who earns more DevOps or data science?

On the global scale, DevOps professionals earn around $100,000 which is considered the highest salary among the various kinds of programming job positions. Looking at the statistics, it can be argued that Data Scientists are more paid than DevOps and Python Developers.

Is AWS DevOps a good career?

DevOps is more than what your resume can effectively communicate, namely the so-called soft skills. The DevOps practitioner personally acts as a trusted bridge between development, operations, and QA. If not, then DevOps remains a good career, but it might not be a good career for you.

Is DevOps good for data science?

DevOps teams are expected to support data scientists by creating environments for data exploration and visualization. Building machine learning models is fundamentally different from traditional application development. Provisioning, configuring, scaling and managing these clusters is a typical DevOps function.

What is the benefit of DevOps?

Teams who fully embrace DevOps practices work smarter and faster, and deliver better quality to their customers. The increased use of automation and cross-functional collaboration reduces complexity and errors, which in turn improves the Mean Time to Recovery (MTTR) when incidents and outages occur.

Which one is better AWS or DevOps for software development?

Be it AWS which is a cloud platform, DevOps which is approach towards software development and even data science that lets you deal with data and tell you how to analyse it, you may choose either that interests you and you should be good. I need to hire 5-10 good programmers for my startup within a month.

On the other hand, Data Science requires good programming skills. It is totally one’s choice depending open the fact that what is your strength, interest and future plan. Data science has always been around and even after the recent surge of DevOps it has received more excitement and a lot of glamour is associated with it.

What are the benefits of AWS for data scientists?

As a data scientist, you’re processing huge amounts of sensitive data; AWS provides the infrastructure, power and security necessary to work as efficiently and securely as possible. Key benefits include: AWS EMR which provides access to pre-installed open sources applications (e.g. Hadoop, Spark, HBase, Presto)

Is DevOps a good career for me?

DevOps is a new field which is rapidly growing. if you are a programming nerd who loves software engineering, processes and related stuff,DevOps can be a great career for you. Currently the DevOps jobs outnumbers data scientist requirements