Cloudera Training Onsite
Cloudera Apache Hadoop is 100% open source, and pioneered a fundamentally new way of storing and processing data!
Cloudera Apache Hadoop is 100% open source, and pioneered a fundamentally new way of storing and processing data. Instead of relying on expensive, proprietary hardware and different systems to store and process data, Hadoop enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data, and can scale without limits.
Cloudera Certification is the world’s most recognized and sought-after Hadoop qualification. Whether you’re looking to learn about big data basics or specific applications for MapReduce, we have the course for you. ENO offers live, instructor led classes in the United States and Canada, plus our Virtual-Live classes should you wish to avoid the hassle and expense of traveling
With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.
Cloudera Developer Training for MapReduce (HADOOP-MAPREDUCE)
Developer Training for Spark & Hadoop (DEV-S-H)
Cloudera Training for Apache HBase (HBASE)
Cloudera Essentials for Apache Hadoop Training (HADOOP-ESSENTIALS)
Cloudera Developer Training for Apache Spark (DEV-SPARK)
Designing and Building Big Data Applications Training (BIG-DATA-APP)
Just Enough Scala Training (JUST-SCALA)
Cloudera Search Training (CLD-SEARCH)
Data Analyst Training
Introduction to Machine Learning with Spark ML and MLlib Training (SPARK-ML)
Cloudera Data Analyst Training: Using Pig, Hive and Impala with Hadoop (CDAPHIH)
Data Science at Scale using Spark and Hadoop (DSSH)