Outer Web | Explore

Explore >> Select a destination

You are here		aneesh.mataroa.blog The journey from Supercomputing to Spark - tech ramblings
\|	\|	timilearning.com MIT 6.824: Lecture 15 - Spark	2.1 parsecs away Travel
\|	\|	In the first lecture of this series, I wrote about MapReduce as a distributed computation framework. MapReduce partitions the input data across worker nodes, which process data in two stages: map and reduce. While MapReduce was innovative, it was inefficient for iterative and more complex computations. Researchers at UC Berkeley invented Spark to deal with these limitations.	2.1 parsecs away Travel
\|	\|	technicaldiscovery.blogspot.com Technical Discovery: Anaconda and Hadoop --- a story of the journey and where we are now.	3.0 parsecs away Travel
\|	\|	Early Experience with Clusters My first real experience with cluster computing came in 1999 during my graduate school days at the Mayo Cl...	3.0 parsecs away Travel
\|	\|	michaelscodingspot.com The Best C# .NET Web Application Tech Stack: Choosing a Database \| Michael's Coding Spot	3.7 parsecs away Travel
\|	\|	Michael Shpilt's Blog on .NET software development, C#, performance, debugging, and programming productivity	3.7 parsecs away Travel
\|	\|	www.solvexia.com Automated Financial Reporting: Top Benefits, Tools, and Best Practices	29.9 parsecs away Travel
\|		Discover the top benefits and best practices for automating financial reporting. Enhance efficiency, accuracy, and compliance with automation solutions.	29.9 parsecs away Travel