In this course we will learn how Pig Latin for scripts written to focus on ETL workflow logic. Pig on QDS enables programmers to quickly test scripts then move them into production on large-scale clusters. With Pig, QDS users can query data in the Hadoop Distributed File System (HDFS) or Amazon Simple Storage Service (S3) and store results in variables for reference in subsequent processing steps. Without worrying about managing the underlying infrastructure, developers can focus on building complex data pipelines by combining many data transformation steps in one script instead of a combination of SQL queries.
it easy to debug both active and historical jobs with a Spark Application UI. Results and logs are always available even without active running clusters.
I am Reddy having 10 years of IT experience.For the last 4 years I have been working on Bigdata.
From Bigdata perspective,I had working experience on Kafka,Spark,and Hbase,cassandra,hive technologies.
And also I had working experience with AWS and Java technologies.
I have the experience in desigining and implemeting lambda architecture solutions in bigdata
Has experience in Working with Rest API and worked in various domains like financial ,insurance,manufacuring.
I am so passinate about new technologies.
BigDataTechnologies is a online training provider and has many experienced lecturers who will proivde excellent training.
BigDataTechnologies has extensive experience in providing training for Java,AWS,iphone,Mapredue,hive,pig,hbase,cassandra,Mongodb,spark,storm and Kafka.
From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges.
Main objective is to provide high quality content to all students