Spark, written in Scala, provides a unified abstraction layer for data processing, making it a great environment for developing data applications. Spark comes with a choice of Scala, Java, and Python ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

The days of monolithic Apache Spark applications that are difficult to upgrade are numbered, as the popular data processing framework is undergoing an important architectural shift that will utilize ...

This online data science specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. The first course introduces you to ...

While the cloud has been great for data and analytics -- given its limitless storage and compute capacity -- it has also caused a real regression in productivity for data professionals. The reason for ...

Srinivasa Sridhar Kavikondala is a seasoned technical architect specializing in data warehousing and cloud solutions, based ...