BigData & Hadoop Training Syllabus : Java Essentials For Hadoop with lab assignment
- Lesson 1. OOPS and Java
- Lesson 2. Programming constructs
- Lesson 3. Data structures
- Lesson 4. Lab assignment
Apache - Hadoop is an open source framework that's gaining popularity in the IT industry because of its ability to have low end hardware perform high end processing of data. Hadoop does this by having a high fault tolerance at application layer which allows optimum use of the existing resources.” Hadoop is the preferred technology of most MNC’s with vast data banks in India especially in Pune. At SourceKode, corporates and students are groomed on Hadoop in the best possible manner. Training on Hadoop at SourceKode Pune is a combination of theory and practice along with hands on assistance on live project
Hadoop is a popular framework for managing and processing big data. Learning Hadoop can help you in many ways, such as: You can handle large and complex data sets that cannot be easily processed or analyzed using traditional methods. Hadoop uses distributed storage and parallel processing to break down workloads into smaller tasks that can be run at the same time on multiple machines. You can access and process data from various sources, such as social media, web logs, sensors, and IoT devices.Hadoop can efficiently store and process data ranging in size from gigabytes to petabytes. You can improve your decision-making skills by using Hadoop to perform data analytics and find patterns, trends, and correlations in the data. Hadoop also supports machine learning and data mining applications
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Cras porttitor sed diam
Vestibulum a mauris orci. Sed eros enim, euismod at eros ac, vestibulum volutpat tortor. Suspendisse neque dui, rutrum congue ligula ut, semper pulvinar diam.