Developer for MapReduce: This course is best suited to developers and engineers who have programming experience. Knowledge of Java is strongly recommended and is required to complete the hands-on exercises. Prior knowledge of Apache Hadoop is not required.
Administrator: This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required.
Data Analyst: This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Knowledge of SQL is assumed, as is basic Linux command-line familiarity. Knowledge of at least one scripting language (e.g., Bash scripting, Perl, Python, Ruby) would be helpful but is not essential. Prior knowledge of Apache Hadoop is not required.
Big Data Applications: This course is best suited to developers, engineers, and architects who want to use Hadoop and related tools to solve real-world problems. Participants should have already attended Cloudera Developer Training for Apache Hadoop or have equivalent practical experience. Good knowledge of Java and basic familiarity with Linux are required. Experience with SQL is helpful.
Spark (3-day): This course is best suited to developers and software engineers. Course examples and exercises are presented in Python and Scala, so knowledge of one of these programming languages is required. Basic knowledge of Linux is assumed. Prior knowledge of Hadoop is not required.
HBase: This course is best suited to developers and administrators who have experience with databases and data modeling, although it is not required. Prior knowledge of Apache Hadoop is not required.
Data Science at Scale: This course is best suited to developers, data analysts, and statisticians with basic knowledge of Apache Hadoop: HDFS, MapReduce, Hadoop Streaming, and Apache Hive. Students should have proficiency in a scripting language; Python is strongly preferred, but familiarity with Perl or Ruby is sufficient.
Developer for Spark & Hadoop: This course is designed for developers and engineers who have programming experience. Apache Spark examples and hands-on exercises are presented in Scala and Python, so the ability to program in one of those languages is required. Basic knowledge of SQL is helpful; prior knowledge of Hadoop is not required.
Search: This course is intended for developers and data engineers with at least basic familiarity with Hadoop and experience programming in a general-purpose language such as Java, C, C++, Perl, or Python. Participants should be comfortable with the Linux command line and should be able to perform basic tasks such as creating and removing directories, viewing and changing file permissions, executing scripts, and examining file output. No prior experience with Apache Solr or Cloudera Search is required, nor is any experience with HBase or SQL.
If you have any questions, please contact firstname.lastname@example.org.