Getting Started With Big Data Engineering With Roadmap

This podcast introduces a Big Data engineering roadmap and course, emphasizing hands-on practical experience and addressing the challenges of traditional databases when dealing with massive datasets. The speakers discuss the need for Big Data solutions due to increasing data volume, velocity, and complexity, and outline a course curriculum covering core concepts, technologies like Hadoop and Spark, and cloud platforms like AWS and Azure.

Introduction to Big Data

• 00:17:44 Big Data is a problem and solution for datasets that are too large, fast, and complex for traditional databases to handle. The presenter shares personal experiences working with OYO Rooms and Goldman Sachs to illustrate real-world Big Data challenges involving massive data volumes and complex data types, such as images and text.

Big Data Challenges

• 00:30:01 Traditional relational databases (RDBMS) struggle with large datasets due to storage limitations, slow processing speed for complex operations, and difficulties in handling unstructured data like images and videos. As data volume and velocity increase, RDBMS can become costly and inefficient, leading to poor user experience.

Course Curriculum

• 00:43:08 The Big Data boot camp course is designed for professionals, requiring basic Python and SQL knowledge. The curriculum covers various topics, including core Big Data concepts, Hadoop ecosystem components (HDFS, MapReduce), Spark (RDDs, DataFrames, SQL), NoSQL databases (MongoDB, Cassandra), cloud computing (AWS, Azure), and practical projects focused on real-world applications.

Course Details

• 00:18:28 The Big Data Boot Camp with AWS is a 5-7 month course, delivered online with 1.5 years of access to recordings and a community chat forum for peer interaction. It includes live doubt-clearing sessions, hackathons, job referrals, and resume/interview guidance. The course requires a credit card to access cloud platforms for practical learning.

Course Target Audience

• 00:06:48 The course primarily targets individuals seeking data engineering roles, but is also beneficial for professionals from non-IT backgrounds or those looking to understand the data lifecycle. It can help fresher or professionals seeking career transition in Big Data or Data Engineering roles.

Course Pricing & Discounts

• 00:23:00 The course is paid, with discounts available. Interested participants can call the counseling team for information and potential discounts (e.g., 10% off during Black Friday). Free YouTube sessions are available, but the full course is through a paid platform.

Cloud Computing Focus

• 00:15:53 The course heavily utilizes cloud computing platforms like AWS, Azure, and GCP to provide practical experience. Free credits are provided to participants for hands-on learning, encouraging responsible resource management and deletion to avoid charges.