You must have a minimum of 12 slides in your presentation. The slides must be readable and formatted neatly and they must be original. You must attach them to this assignment, not send a link. This will be checked via TurnitinYour presentation must include the following: What are the components of YARN and what does each component do when a Hadoop MapReduce job is submitted?What is data locality? Does data locality optimization apply equally to Map tasks and Reduce tasks? Why?What are the uses of Pig, Hive and Impala? What are the differences?What does a Mapper do in MapReduce?What does a Reducer do in MapReduce?What happens in HDFS when a worker node is corrupt/taken offline? How is data loss prevented? Specifically speak about the HDFS daemons.Format your presentation as if you were presenting it to a group of people. It must be a coherent, prepared and fluid presentation for full credit.

A module that queries the Stock Market exchange API and extracts relevant “features” or “data sets”, for example it might periodically extract vectors of length 10 which consist of the last 10 stock price points. Another “feature” could be something like “the last 5 daily averages”. More exotic features might be things like “whether or not there has been an election in the last week”, or “the entropy of the market in the last hour”. (feature extractor module) A module that uses the feature set to make predictions whether to buy or sell stock market and how many (trading strategy module). Get dataset from yahoo finance

importance  of c programming language