INTRODUCTION Hadoop and Apache Spark both are big-data frameworks, but direct comparison of Hadoop and Spark is difficult because they do many of the same things, but are also non-overlapping in some areas. Hadoop is essentially a distributed data infrastructure, It distributes massive data collections across multiple nodes within a cluster of commodity servers, which means you don't need to buy and maintain expensive custom hardware. It also indexes and keeps track of that data, enabling big-data processing and analytics far more effectively than was possible previously. Spark, on the other hand, is a data-processing tool that operates on those distributed data collections; it doesn't do distributed storage Hadoop have many components of modules that work together to create the Hadoop framework. The primary Hadoop framework modules are: · Hadoop Common · ...
Dear students, Here im uploading study materials chapter wise. Follow your material one by one and report me if you have any queries. Chapter 1: Introduction about System Programming Chapter 2: 1 pass and 2 Pass Assembler Assembler Chapter 3: Macro & Linker Chapter 4 Compiler
Dear students, Here I'm uploading study material for unit 3 and 4 Follow the material in sequence order. Post your queries if you have any. Transport Layer Part 1 Transport Layer Part 2 Network Layer Routing Protocol
Comments
Post a Comment