Audience & Prerequisites
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.
Advance your ecosystem expertise
Apache Pig applies the fundamentals of familiar scripting languages to the Hadoop cluster. Apache Hive makes transformation and analysis of complex, multi-structured data scalable in Hadoop. Cloudera Impala enables real-time interactive analysis of the data stored in Hadoop via a native SQL environment. Together, Pig, Hive, and Impala make multi-structured data accessible to analysts, database administrators, and others without Java programming expertise.
Data Analyst Certification
Data Analyst Training is a useful precursor to Introduction to Data Science and the Cloudera Certified Professional: Data Scientist (CCP:DS) exam. Certification is a great differentiator; it helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise.
Advance Your Career
Big data analysts are among the world's most in-demand and highly-compensated technical roles. Check out some of the job opportunities currently listed that match the professional profile, many of which seek experience with Impala, Hive, and Pig.
We also provide private training at your site, at your pace, and tailored to your needs.