From Apple Watch reminders to breathe, to advertisements for recent purchase considerations appearing in your feed, Big Data, AI and Data Analytics has moved beyond “the next big thing.” Big Data – a term originally coined for data that has various attributes such as volume, variety, validity and volatility to name a few – has fundamentally changed business practices across every company. It is now ubiquitous across every function and department of enterprises both large and small. The complex challenge for enterprises to capture, understand, analyze, interpret and harness big data in a meaningful and relevant way is led by data scientists, business intelligence analysts, data architects, and developers.
Facts about Big Data Careers
What’s Hadoop got to do with it?
Hadoop, as a framework, has proven its worth in the Data Analytics revolution because of its unique feature set – cost effectiveness, flexibility and scalability. Big Data Hadoop is synonymous to a golden goose for IT professionals. The more proficient you are in big data related technologies like Hadoop and its ecosystem and real time in-memory computing framework Spark, the more likely it is that you can command higher pay checks.
To be a part of the Big Data revolution, here are some basics:
So why add Spark with Scala?
Apache Spark is a second-generation Big Data toolset, providing both batch and streaming processing capabilities for faster data processing. Spark works seamlessly with Hadoop, leveraging the same hardware and resource management layer – Yarn. Apart from this, Spark can process the data stored in HDFS (Hadoop Distributed File System). Since Spark projects are developed using Scala, becoming an expert in Scala is imperative.
There is currently a shortage of skilled resources who can work in the Big Data space -- Big Data Developer, Data Analysts, Big Data Consultants, Big Data Platform Engineers, Architects, Solution Analysts, Data Scientists and many other roles. All of these positions require profound knowledge of Big Data tools and technologies, i.e. Hadoop ecosystem and its components, with an emphasis on in-memory and real-time processing frameworks, such as Spark.
Mindteck Academy’s live, instructor-led Hadoop, Spark and Scala course is a structured program covering detailed learning on the Hadoop ecosystem components, curated and taught by an industry expert. Mindteck Academy’s rigorous course prepares students for enterprise-level positions, broadens their skillset, and increases their value to an organization.
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