Apache Spark is a data processing framework that can perform processing tasks on very large data sets quite swiftly. It can also distribute data processing tasks across several devices, either on its own or in tandem with distinctive computing tools. Today Spark is used by numerous data engineers and... read more →
Dec
14
Nov
30
As a company recognizes the power of machine learning (ML) and data science, it will be in the position to explore diverse tools needed to improve their business efficiency, predict changes and augment customer experiences. For the purpose of achieving these goals in business-critical use cases, they shall require... read more →
Oct
25
Apache Spark is a popular unified analytics engine that has witnessed rapid adoption by companies across an expansive range of industries and sectors ever since its release. It has emerged as the largest open source community in big data and boasts of having more than 1000 contributors from beyond... read more →
Oct
25
Apache Spark is an open source analytics engine meant for big data workloads. It can handle both batches as well as real-time analytics and data processing workloads. Spark offers native bindings for programming languages like R, Scala, Python, and Java. It even comes equipped with multiple libraries to support... read more →
Sep
27
A host of modern day organizations who use machine learning tend to face particular challenges when it comes to versioning and storing their complex ML data and an expansive number of models generated through it. For simplifying this process, many of them opt to build their tailored ML platforms. Nevertheless,... read more →
Sep
27
The accumulation of vast volumes of data has become pretty natural in the modern digital landscape, especially for large-scale organizations. However, several of these companies face troubles in deriving business value from these expansive sets of unstructured data. Fortunately, with technological advancements and innovation, the solution to this problem has... read more →