Snowflake - Mastering the Cloud Data Platform
One-Q Soft offers you complete practical and Real-time Snowflake training with basic to advanced cloud concepts along with AWS S3 services.
Here in One-Q Soft– along with this course we also include concept wise documentation, Real-time scenario, Project solution, Project use case & interview preparation guidance for your job interviews
Why only MINDWION
- 1400+ professionals trained on different technologies.
- Splendid Certified and Experienced Trainers.
- Highly Interactive & Classroom training
- Customised complete course notes
- Job guidance
- Guidance on official certification
Snowflake Training Highlights
- Free Demo class
- 45 days class room training
- Successfully trained 3000+ learners
- Customised course notes
- Live instructor-LED Online and Classroom training
- Real-time practical guidance
- Doubt clarification schedules
- Basic to advanced training
- Interview guidance
Course Overview
Snowflake provides cloud-based data warehousing that enables advanced solutions for organizational storage, handling, and analysis.
Its unique characteristics include high speed, ease of use, and versatility making it stand out from other conventional offerings.
Reporting and data warehousing are integral parts of any organization’s IT infrastructure.
To take on these tasks, Snowflake leverages the functionality of an innovative SQL query engine with a flexible architecture natively established for the cloud.
This approach enables users to easily customize and start creating ready-to-query tables with little or no administration costs.
Apart from delivering you the best Snowflake training, you will also get many other extra learning resources which include, advanced material for Snowflake interview questions, snowflake certification dumps, free recorded Snowflake training videos, resume preparation, Snowflake fundamentals training, Snowflake training material, and also access to the valuable Snowflake tutorials.
Course Overview
1 | Introduction |
2 | Getting started with Snowflake |
3 | Snowflake Architecture |
4 | Micro-Partitioning |
5 | Clustering |
6 | Snowflake Editions |
7 | Access Management |
8 | Snowflake Pricing |
9 | Scaling Policies |
10 | Caching |
11 | Query History & Snowflake Query Profile |
12 | Different Type of Tables |
13 | Snowflake SQL -DDL, DML, DCL, TCL & DQL |
14 | Snowflake SQL-Sub Queries & Case Statement |
15 | Snowflake SQL -SET Operators |
16 | Snowflake SQL -Window Functions |
17 | Snowflake SQL -Procedures |
18 | Snowflake SQL -Types of Views |
19 | Snowflake SQL -Predefined Functions |
20 | Snowflake SQL -Transactions |
21 | Snowflake SQL -User Defined Functions |
22 | Snowflake Functions |
23 | Performance Optimization |
24 | Copy Transformations |
25 | External stages & Internal stages |
26 | Getting started with SnowSQL |
27 | Loading data using Wizard |
28 | Load Data from AWS (CSV I JASON I PARQUET) |
29 | Load unstructured Data |
30 | Load data using Snowpipe |
31 | External Tables |
32 | Time Travel -Work with History of Objects Fail Safe |
33 | Fail Safe |
34 | Task in Snowflake -Scheduling Service |
35 | Snowflake Stream -Change Data Capture (CDC) |
36 | Zero-Copy Cloning |
37 | Dynamic Masking Policy |
38 | Row Level Security |
39 | Data Sharing |
40 | Data Sampling |
41 | Error Handling |
42 | Migration steps & Challenges Faced |
43 | Partner Connect – Connecting with other tools |
44 | Snowflake Best Practices |
45 | Getting started with Python |
46 | Practice-1 |
47 | Practice-2 |
48 | Practice-3 |
49 | Practice-4 |
50 | Practice-5 |
51 | Practice-6 |
52 | Practice-7 |
53 | Practice-8 |
54 | Practice-9 |
55 | Practice-10 |
56 | Practice-11 |
57 | Practice-12 |
58 | Practice-13 |
59 | Practice-14 |
60 | Practice-15 |