
What Is Big Data?
Evolution Of Big Data
Main Characteristic Of Big Data
Why Hadoop?
Architecture of Hadoop
Daemon Services In Hadoop
Changes In hadoop2
Changes In Hadoop3
Explore common Hadoop commands for managing HDFS: list, create folders, put files, view content, rename, copy from local, copy to local, move from local, and remove.
Learn basic Scala functionalities, from interoperable Java integration and core data types to building your first Scala program with IntelliJ IDEA, Maven, and a main object that builds and runs.
Explore the Scala if else construct with boolean expressions, use else if for multiple conditions, and build and run the project to see true or false outcomes.
Learn how the Scala do while loop executes at least once before evaluating its condition, and compare it with the while loop through a simple demo that prints a value.
Explore PySpark, a Python API on the Spark engine, to write Python code that drives distributed processing with familiar Python syntax and libraries like NumPy and pandas.
Explore Python’s collection types—lists, tuples, dictionaries, and sets—and learn how lists are mutable and ordered, while tuples are immutable, dictionaries store key-value pairs, and sets are unordered with no duplicates.
Create student and marks data frames in PySpark, join them, filter where marks > 80 and subject is math, compute average marks, and read cost.txt into a data frame.
Master Big Data with Apache Spark & Databricks: Hands-on Training
Unleash the Power of Big Data for Real-world Insights
Struggling to process massive datasets and extract valuable insights? This comprehensive Apache Spark course equips you with the skills to conquer big data challenges and unlock its potential.
What You'll Gain:
Effortless Data Processing: Master Spark's architecture and core concepts for efficient data manipulation at scale.
In-depth Data Analysis: Leverage Spark SQL, DataFrames API, and RDDs to gain deep insights from complex datasets.
Python & Scala Expertise: Build a strong foundation in Scala and Python (PySpark) for powerful Spark development.
Databricks Mastery: Deploy, manage, and collaborate on Spark applications seamlessly within Databricks.
Bonus Python Foundations: (For beginners) Gain a solid understanding of Python, essential for PySpark and Data Science.
Course Features:
Engaging Video Lectures: Learn at your own pace with clear and concise video tutorials.
Hands-on Projects: Apply your knowledge through practical exercises and real-world case studies.
Lifetime Access & Updates: Stay ahead of the curve with ongoing course updates and materials.
Downloadable Resources: Deepen your learning with comprehensive downloadable materials.
Expert Q&A Support: Get your questions answered by our experienced instructors.
Why Spark?
Blazing-fast Processing: Conquer massive datasets with lightning-fast processing power.
Actionable Insights: Go beyond raw data, uncover hidden patterns, and make data-driven decisions.
Real-world Applications: Power everything from real-time analytics to cutting-edge scientific research.
Become a Big Data Expert Today!
Enroll now and start your journey to mastering Apache Spark and Databricks!