Thanks a ton for spending your valuable time to glance through this article. We have given our best to make you confident while choosing the file format for the Databricks Spark data ecosystem. The views, thoughts, and opinions expressed in this blog belong solely to the author(s), and not necessarily Read more…
Today, the rise of Serverless Technology and Modern Cloud Migration has brought about a renewed focus on Automation of Workload Migration from on-premise services such as Hadoop to the modern Cloud Platform. Most enterprises today, realize the need for transitioning their data engineering and data science workloads to Managed Cloud-based Read more…
In our previous post on Migrating from Hadoop to the modern cloud architecture, we discussed about the rise of serverless technology adoption and navigating the cloud migration journey. In this post, we will take a deep dive into understanding the role that MLens plays in enterprises’ migration journey from Hadoop Read more…
Introduction Apache Spark has become the de facto unified engine for analytical workloads in the Big Data world. As we all know, Spark extends the popular MapReduce model to efficiently support more types of computations, including interactive queries and stream processing. One of the main features Spark offers for speed Read more…
In recent years, there has been a steady rise in enterprises that have shifted their data engineering and data science workloads to Managed Cloud-based Processing. Here are a few reasons why: Big Data pioneers have significantly lost market share, while Microsoft Azure & other public cloud offerings reported a 200% Read more…
In recent years, there has been a marked shift towards moving Enterprise Data to the cloud. More and more enterprises have realized the need to shift their Big Data Processing paradigm to Managed Cloud-based Processing. While Big Data pioneers such as Cloudera and MapR have significantly lost market share, the Read more…