CCA 175 Spark and Hadoop Developer Certification - Scala
Ace the CCA175 exam! Our course offers a 100% pass guarantee. Master the skills you need for certification success.
Course Content
CCA 175 Spark and Hadoop Developer Certification - Scala is a beginner-level Udemy course taught by Proedu Organization. It runs 5h 23m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 24 reviews, with 1,115 students enrolled. It is a paid course, last updated July 2021.
Prepare for the CCA175 Spark and Hadoop Developer Certification with our comprehensive course! This course is designed for anyone aiming to pass the Hadoop and Spark Developer Certification exam. We'll equip you with the knowledge and confidence you need to succeed.
What you'll learn:
- Introduction to Hadoop and Spark: Get a solid foundation for working with big data technologies.
- Prerequisites: Ensure you have the necessary background for the course.
- Google Cloud Setup: Learn to set up a cluster on Google Cloud, create buckets, and prepare practice data for your Hadoop and Spark projects.
- Hive on Google Cloud: Master data setup on Hive within a Google Cloud environment.
- Apache Spark Framework: Dive deep into the Apache Spark framework, including understanding Resilient Distributed Datasets (RDDs), Transform, Stage, and Store concepts.
- Spark Data Abstraction: Learn about DataFrame abstraction in Spark for efficient data manipulation.
- Data Formats: Gain proficiency in working with various data formats:
- CSV Data in Spark: Learn how to process and analyze data stored in CSV files.
- JSON Data in Spark: Master techniques for handling and transforming JSON data.
- Parquet File Format in Spark: Understand and utilize the Parquet file format for optimized data storage and retrieval.
- AVRO Data in Spark: Learn to work with AVRO data formats.
- Hive Metastore: Understand and utilize the Hive Metastore for managing metadata.
- DataFrame Column Manipulation: Learn to effectively work with DataFrame Columns in Spark.
- Data Manipulation: Master techniques for manipulating dates and strings within DataFrames.
- Real-World Exam Scenarios: Practice with 20 real-time CCA175 exam scenarios to solidify your understanding and prepare for the exam format.
Exam Details:
The CCA175 certification exam is a remote-proctored exam, offering flexibility to take it anywhere, anytime. Expect scenario-based questions that may involve tools like Impala or Hive, or require coding skills.
Boost your confidence and achieve your Hadoop and Spark Developer Certification goals with our practical and engaging course. Happy Learning!
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