In this article, you learn how to create and configure a Zeppelin instance on an EC2, and about notebook storage on S3, and SSH access.
Video Training on Big Data Hadoop. It would be screen recording and voice over. The recording will be approx 8 hrs Must cover Hadoop, MapReduce, HDFS, Spark, Pig, Hive, HBase, MongoDB, Cassandra, Flume
Implement this scraper code on my servers and build a hive database with ongoing updates [url removed, login to view]
It's a program that analyzes ads data and algorithm which allows our clients to auto manage their PPC ads. Please apply only if you have a experience in ad-tech projects, live in South Korea.
Looking for an instructor with big data knowledge. Please don't bid for the project until you can work on the following. Serious inquiries only and nothing negotiable. 1. You must be able to teach in CST time 2. Must be committing for long time 3. Price are negotiable after few months of work 5. Must know the following Apache Spark, Map/Reduce, Java Libraries 6. All you have to do...
Explain about project life cycle, documentation, day to day project activities and real time issues faced in the project code(if possible) etc.
DOMAIN : BIG DATA AND HADOOP TITLE : REAL TIME PROJECT - INSURANCE LANGUAGE : JAVA VM : CLOUDERA QUICKSTART VM 5.5 IDE : ECLIPSE IDE ABSTRACT : Analyze health reports across years for the US market and find the average of privately and public insured people from years 2001-2011. The Project was processed by MapReduce method and output achieved.
I've done my engineering with a specialization in Electronics and Communication. As I am much interested in Big data Domain I gained a certification in it. Project is all about data analysis and tools required are Hive, Pig and Sqoop wherein HDFS is used for data storage and MapReduce framework is used for processing.
Looking for a trainer to teach hadoop and big data concepts in our institute in Hyderabad
I would like to build a hql script which gets data from two tables, do some intermediate to complex transformations by pulling the data from production, then save/update the data back to production. This hql will involve 3-4 staging/temp tables.
It is regarding Bigdata hardtop + spark project So right now we are loading data from Hive tables to azure sql tables with SSIS package for 2 million records it is taking 15 mints ! I want to try with spark again is spark best fit or not ?