A step by step tutorial on working with Spark in a Kubernetes environment to modernize your data science ecosystem
A step by step tutorial on working with Spark in a Kubernetes environment to modernize your data science ecosystem
The notions of collaborative innovation, openness and portability are driving enterprises to embrace open source technologies. Anyone can download and install Kubernetes, Jupyter, Spark, TensorFlow and Pytorch to run machine learning applications, but making these applications enterprise grade is a whole different story.
iguazio combines real-time analytics, concurrent processing and cloud-native agility. We started working on this completely new approach to data management after witnessing countless customers struggle with traditional big data and analytics solutions. As a result, we are seeing that iguazio’s platform leads to magnitudes faster time to insights, faster time to market, greater simplicity and...
iguazio announced its revolutionary Enterprise Data Cloud platform on September 27th, designed with a modern approach from the ground-up. iguazio's platform serves millions of requests per second, scaling to petabytes and managed as a PaaS with extreme simplicity. We built an end to end IoT application for monitoring and controlling smart connected cars to demonstrate...
Big Data used to be about storing unstructured data in its raw form – . “Forget about structures and Schema, it will be defined when we read the data”. Big Data has evolved since – The need for Real-Time performance, Data Governance and Higher efficiency is forcing back some structure and context. Traditional Databases have...