Cloudera Data Analyst

1. Proficiency in analyzing large datasets using Cloudera's ecosystem of tools and technologies.
2. Skills in data ingestion, transformation, and analysis using Apache Hadoop and Apache Spark.
3. Ability to write and optimize queries using languages like SQL and Apache Hive.
4. Competence in data visualization and reporting using tools like Apache Zeppelin or Cloudera Hue.

Before diving into learning for the Cloudera Data Analyst certification, it's beneficial to have the following skills:

1. Basic understanding of data analysis concepts and methodologies.
2. Familiarity with relational databases and SQL querying.
3. Proficiency in programming languages like Python or Java.
4. Knowledge of Linux command-line operations and shell scripting.

By learning Cloudera Data Analyst, you gain the following skills:

1. Proficiency in analyzing large datasets using Apache Hadoop and Apache Spark.
2. Mastery of SQL querying for data extraction, transformation, and analysis.
3. Ability to work with distributed computing frameworks for efficient data processing.
4. Skills in data visualization and reporting using tools like Apache Zeppelin or Cloudera Hue.