Big Data Engineer Course
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Discover job guarantee programs at Atharv Upgrade, ensuring career success with hands-on training and placement support in various industries.
Are you ready to embark on a transformative journey into the world of Big Data and secure a promising career in the realm of data analytics and technology? Our Big Data Job Guarantee Program is your gateway to success, offering a job guarantee and the skills needed to excel in this rapidly evolving field.
Why Choose Our Program? Big Data is a game-changing force in today's digital age, empowering organizations to extract valuable insights from massive volumes of data. Our comprehensive program equips you with the knowledge and hands-on experience necessary to become a proficient Big Data specialist. You'll explore the fundamentals of data processing, data warehousing, and data analytics.
Hands-On Learning: We believe in practical education. Our curriculum includes real-world Big Data projects and exercises, ensuring you gain the practical skills that employers value.
Job Guarantee: We're committed to your success, which is why we offer a job guarantee. If you don't secure a position in the Big Data field after program completion, we'll refund your tuition fees.
Join our Big Data Job Guarantee Program and set yourself on a path to a secure and prosperous career. With Big Data driving innovation and decision-making across industries, your expertise will be in high demand. Don't miss the opportunity to become a Big Data professional. Enroll now and start your journey toward a guaranteed career in data analytics and technology!
Our Features
Live Projects
Work on Live Paid Projects, Earn While you Learn and Gain real life industrial experience during the course hence build a strong portfolio
100% Placement
Unlock your future with our 100% Placement Guarantee Program – Your pathway to success is paved with certainty
Complete Support
Resume building, interview workshops, mock sessions, and career guidance for personalised support in achieving success.
Big Data Fundamentals: Master the core concepts of big data, including data storage, processing, and analysis.
Hadoop Ecosystem: Dive into the Hadoop framework, learning tools like HDFS, MapReduce, and YARN for efficient data management.
Apache Spark: Explore in-memory data processing with Apache Spark, a powerful framework for real-time analytics and large-scale data processing.
Distributed Databases: Gain expertise in NoSQL databases like MongoDB and Cassandra, essential for managing unstructured and semi-structured data.
Data Streaming: Learn about real-time data streaming with technologies such as Apache Kafka, enabling you to work with live data feeds.
Data Warehousing: Understand the principles of data warehousing and data lakes, and use technologies like Amazon Redshift and Google BigQuery.
Machine Learning Integration: Discover how to integrate machine learning models into big data platforms for predictive analytics.
Cloud-Based Big Data: Explore big data solutions on cloud platforms like AWS, Azure, and Google Cloud, gaining scalability and flexibility.
Real-World Projects: Apply your skills to real-world big data projects, showcasing your abilities to prospective employers.
Job Guarantee Assurance: Upon program completion, access interviews with our network of partner companies actively seeking big data professionals.
Module 1: Introduction to Big Data
- Understanding Big Data concepts
- Characteristics of Big Data
- Challenges and opportunities in Big Data
- History and evolution of Big Data
Module 2: Big Data Technologies and Ecosystem
- Overview of Hadoop, Spark, and other Big Data frameworks
- Components of the Hadoop ecosystem (HDFS, MapReduce, YARN)
- Introduction to Apache Spark
- Comparing Big Data storage and processing technologies
Module 3: Hadoop Distributed File System (HDFS)
- HDFS architecture and data storage
- Data replication and fault tolerance
- File operations in HDFS
- HDFS commands and administration
Module 4: MapReduce and Hadoop Programming
- MapReduce concepts and programming model
- Writing MapReduce jobs in Java
- Developing and debugging MapReduce applications
- MapReduce optimization techniques
Module 5: Data Ingestion and Extraction
- Data ingestion methods (batch and real-time)
- Working with structured and unstructured data
- Extracting data from various sources (databases, logs, APIs)
- Data cleansing and transformation
Module 6: Apache Spark Fundamentals
- Introduction to Apache Spark
- Spark architecture and components
- Resilient Distributed Datasets (RDDs)
- Spark transformations and actions
Module 7: Spark DataFrames and Structured Streaming
- Working with Spark DataFrames and Datasets
- Structured streaming for real-time data processing
- Spark SQL and data manipulation
- Writing Spark applications in Scala or Python
Module 8: Data Storage and NoSQL Databases
- NoSQL databases (e.g., MongoDB, Cassandra)
- Data modeling in NoSQL databases
- Storing and retrieving data in NoSQL databases
- Choosing the right NoSQL database for your use case
Module 9: Big Data Batch Processing
- Designing batch processing workflows
- Building ETL pipelines with Big Data tools
- Data warehousing and data lakes
- Batch processing optimization and performance tuning
Module 10: Real-time Data Processing with Kafka
- Introduction to Apache Kafka
- Publish-subscribe messaging model
- Kafka producers and consumers
- Building real-time data pipelines with Kafka
Module 11: Big Data Streaming and Processing
- Streaming data sources and processing
- Stream processing frameworks (e.g., Apache Flink)
- Event time vs. processing time
- Windowing and stateful processing
Module 12: Big Data Analytics and Machine Learning
- Leveraging Big Data for analytics
- Machine learning with Big Data (MLlib)
- Building recommendation systems
- Anomaly detection and predictive modeling
Module 13: Big Data Security and Privacy
- Security challenges in Big Data
- Authentication and authorization
- Data encryption and privacy regulations
- Implementing security measures in Big Data systems
Module 14: Big Data Governance and Compliance
- Data governance principles
- Compliance frameworks (e.g., GDPR, HIPAA)
- Metadata management and cataloging
- Data lineage and audit trails
Module 15: Cloud-Based Big Data Solutions
- Big Data on the cloud (e.g., AWS, Azure, GCP)
- Cloud-based Big Data storage and processing services
- Scalability and cost optimization in the cloud
- Hybrid and multi-cloud strategies
Module 16: Job Readiness and Interview Preparation
- Resume building and job application strategies
- Technical interview preparation
- Behavioral interview coaching
- Mock interviews and feedback
Module 17: Capstone Project
- Real-world Big Data project development
- Solving complex Big Data challenges
- Project documentation and presentation
Module 18: Job Placement Assistance and Networking
- Job search support and guidance
- Connecting with potential employers
- Job offer negotiation strategies
- Building a professional network in Big Data
Module 19: Career Development and Advancement
- Continuing education and certifications in Big Data
- Staying updated with industry trends
- Mentorship and professional growth opportunities
- Advancing your career in Big Data
Module 20: Job Guarantee and Post-Placement Support
- Job guarantee and placement support
- Post-placement mentorship and guidance
- Alumni network and ongoing support
- Continuous career development resources
Conclusion
In conclusion, our Big Data job guarantee program offers a deep dive into the world of data at scale, from foundational concepts to advanced analytics. With a strong emphasis on practical skills, job placement support, and continuous career development, graduates are well-prepared to tackle the complexities of Big Data and excel in data-driven roles.
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