Cloud Machine Learning Platforms vs. Apache Spark Solutions


Cloud giants like Amazon, Google, Azure and IBM have rushed into the big data analytics cloud market.  They claim their tools will make developer tasks simple. For machine learning, they say their cloud products will free data scientists and developers from implementation details so they can focus on business logic.  


Google Cloud Machine Learning (CML)

Google Cloud Machine Learning (CML) is an effort to simplify and reduce time and cost of building a data science tech infrastructure for data science projects. It can plug into Google's other storage, querying, and data-handling products to generate machine learning models. Among the data sources is Google Cloud Dataproc - a managed Hadoop and Spark platform that is now in general availability.

Why Data Scientist may be the Best Job for You

Are you considering a career change? Maybe the current job does not pay well or is not fulfilling enough. In that case, which are the other jobs you could explore? There are many, but you really need something that best aligns with your interests.

For a newbie, changing jobs is an easy decision to take. But what if you have dependents to support? Then you need to take calculated risks that give results.

How do you do that?