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Future-Proof Data: Snowflake Developer Training &
Cloud Data Warehousing Certification

Objectives

Cloud data platforms like Snowflake are becoming a big deal. This program covers everything from the groundwork to advanced development techniques. In addition to learning about data modeling and SQL, participants will also practice optimizing performance, securing data, and connecting systems. Real-world projects are part of it, so the skills gained can be put to work in actual enterprise environments. It’s a lot to take in, but worth it.

Course Outcome

Employees learn how to set up and keep Snowflake running smoothly, making sure data stays reliable and can grow with the business. They work on creating and fine-tuning Snowflake objects that help the database run faster. Handling all kinds of data, cleaning it up and getting it ready for analysis becomes second nature. They write SQL queries and scripts that don’t drag on forever. Using tricks like clustering and caching helps speed things up. Security and rules keep the important info safe. And they build data pipelines that actually help the business make sense of its numbers.

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Course Preview

  • Learn cloud data warehousing concepts and Snowflake's unique architecture. Understand virtual warehouses, databases, schemas, and how multi-cluster elastic scalability supports growing workloads.

  • Create and manage databases, schemas, tables, and views, including temporary and transient types. Manage stages (internal and external) and secure/materialised views for optimized data access.

  • Use the COPY command for efficient bulk loading. Work with various file formats like CSV, JSON, Parquet, ORC, and XML. Implement Snowpipe for real-time data ingestion and understand robust export/unloading techniques.

  • Employ DDL, DML, and DQL commands effectively in Snowflake. Use joins, functions, subqueries, stored procedures, tasks, and streams for complex data operations Leverage Time Travel and Fail-Safe features for data recovery and auditing.

  • Apply clustering and partitioning strategies. Utilize query profiling, execution plans, and caching to improve query performance. Follow best practices for tuning queries for optimal speed.

  • Implement Role-Based Access Control (RBAC) for fine-grained permissions. Use data encryption, masking, and row/column-level security to protect sensitive data. Leverage auditing and compliance features to meet regulatory requirements.

  • Handle semi-structured data formats (VARIANT, JSON, Avro, XML) natively. Use zero-copy cloning and data sharing for efficient data management. Explore Snowflake Marketplace and integration with ETL (Informatica, Talend, Matillion) and BI tools (Tableau, Power BI, Qlik).

  • Manage resources and scale deployments easily. Monitor usage and track performance thoroughly. Oversee account, warehouse, and billing management while following best practices for production environments.