DS & ML with Spark and MLlib
Empower Your Workforce to Handle Big Data with Confidence. From tech giants like Google to content leaders like Netflix, global enterprises are increasingly challenged by the demands of processing massive datasets. That’s where Apache Spark and MLlib come into play offering unmatched speed, scalability, and flexibility in machine learning. StackRoute’s Apache Spark and MLlib training program delivers an immersive, enterprise-grade learning experience tailored to upskill your employees in distributed machine learning. With a hands-on, project-based approach, your teams will gain real-world proficiency to solve complex data problems and drive business innovation at scale. The learning path follows an end-to-end workflow: data Read more
Why Experienced engineers programs?The NIIT StackRoute advantage
NIIT StackRoute delivers immersive, outcome-driven tech training that transforms talent into project-ready professionals from day one. With real-world learning led by industry experts, it reduces time-to-productivity, cuts costs, and ensures a 95% success rate making it the go-to partner for enterprise talent transformation.
Helped build
2 K
Architects
Across
15
Clients
Winning
25
Brandon Hall awards
Program highlights
Bridging Big Data and Predictive Analytics
Empower employees to combine big data processing capabilities with core ML techniques to derive actionable business insights.
Enable real-time data processing
Help learners understand and apply data pipeline development, batch processing, and real-time data transformation using Spark SQL and DataFrames.
Build proficiency in distributed machine learning
Equip participants with the skills to design, train, and deploy scalable ML models using Apache Spark and MLlib in a distributed computing environment.
Tools covered
Outcomes
- Employees will return equipped to implement scalable ML solutions that improve forecasting, customer targeting, fraud detection, and more.
- Gain hands-on experience in creating optimized, reusable data pipelines that automate data transformation and model training.
- Learners will be able to build end-to-end machine learning models that efficiently run on large-scale datasets using Spark MLlib.
Resources
Frequently Asked Questions
Corporate clients receive ongoing support, access to learning materials, mentorship, and guidance during the training program. Post-training, they can access additional resources, updates, and community forums for continuous learning and support.
It equips the data science team with advanced skills in machine learning using Spark and MLlib, enabling them to handle large-scale data analytics, build robust machine learning models, and streamline data processing pipelines for enhanced insights and decision-making.
Yes! StackRoute offers customization options for corporate training programs, tailoring the content and delivery format to meet the specific needs of organizations.
The duration varies from one module to another and typically ranges from a few weeks to several months.
Basic knowledge of programming languages like Java, Scala, Python, or R, along with understanding data structures, algorithms, and statistical concepts, is recommended.
Any business looking to upskill their top-of-the-line talent to accomplish machine learning tasks with a focus on Apache Spark and MLlib.
Reach out to us!
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