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Apache Spark with Scala Course - Hands On with Big Data
Spark
Development ,Database and Design Development,Apache Spark
Lectures -24
Duration -1.5 hours
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Course Description
Spark is one of the top job destinations in the world. This course aims at addressing the common daily tasks the developers are getting and how to resolve the tasks in an effective way. This course is also introducing Big Data to understand the basic concept of the problem because of which we are learning different tools and technologies to address the problem.
Goals
- Introducing Big Data & Hadoop.
- Basic Hadoop Commands.
- Apache Spark On Different platforms.
- Apache Spark: Databricks Community Edition/Integration With Azure.
- Understanding RDD.
- RDD Transformation.
- RDD Action.
- Spark SQL.
- Spark RDD.
- Azure Databricks & SQL Data Warehouse.
- Introduction To Scala.
- Basic Scala Functionalities & Working In Intellij Idea.
- Working In Scala-If Else.
- Working In Scala-For Loop.
- Working In Scala-While Loop.
- Working In Scala-Do While.
- Working In Scala-Function.
- Working In Scala-Anonymous Function.
- Working In Scala-Object & Classes.
- Reading & Writing File using Intellij.
- Understanding Partitioning With Demo.
Prerequisites
- Basic Programming Concept.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introducing Big Data
2 Lectures
- Quick Reference To Big Data & Hadoop 09:24 09:24
- Basic Hadoop Commands 06:07 06:07
Apache Spark :Platforms
2 Lectures
Apache Spark
10 Lectures
Scala
9 Lectures
Instructor Details
Mukund kumar mishra
Driven by a fervent passion for catalyzing digital transformation, I am a dedicated Principal Consultant , with a strong focus on Big Data, Cloud (Azure, AWS), and cutting-edge Generative AI technologies. With over two decades of professional experience, I have built a stellar track record of driving innovation through the strategic deployment of AI and data-driven solutions.
In my career spanning diverse industries, including banking, insurance, manufacturing, and income tax, I have been at the forefront of leveraging Artificial Intelligence to empower organizations. My expertise in AI extends to enabling businesses to harness the power of data and achieve their strategic objectives by implementing state-of-the-art AI solutions.
Collaboration and innovation are the cornerstones of my approach. I thrive on working closely with cross-functional teams, including architects, engineering managers, and customer stakeholders, to define technology roadmaps that capitalize on the latest AI advancements and design robust application architectures that integrate AI seamlessly.
My forte lies in creating enterprise-level Data Lake and modern Data Warehouse capabilities, utilizing Hadoop ecosystems like HDFS, MapReduce, Pig, Sqoop, Hive, Spark, Scala, and Snowflake. I have also demonstrated remarkable proficiency in cloud environments, notably Azure and AWS, where I harness AI for data ingestion, storage, and processing, driving transformative business insights.
Additionally, my AI expertise encompasses data analysis, validation, and the development of AI-driven products, with a particular focus on areas like fraud management, where AI has proven to be a game-changer.
An enthusiastic advocate of knowledge sharing, I have been invited to speak at industry webinars and have contributed as a reviewer for a book on Practical Apache Spark. My qualifications include certifications as a Microsoft Certified Azure Solutions Architect, and I hold a PRINCE2® Practitioner Certificate in Project Management, which I apply to ensure the successful execution of AI-driven projects.
I invite you to join me on Tutorialspoint, where we will embark on an exhilarating learning journey to explore the transformative power of AI in the digital age.
This revised bio places a stronger emphasis on your AI capabilities and expertise, showcasing your proficiency in leveraging AI technologies for digital transformation.
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