Snowflake Training in Hyderabad
Eclasess is one of the few institutes that offer Snowflake training in Hyderabad, Ameerpet. Call @ 7989781302. Datalake Live projects, Coaching Center, job Placements, training institute in Hyderabad. Eclasess is recognized for providing Realtime Snowflake Training in Hyderabad / Datalake Online Training throughout world.
Snowflake Training Introduction
Cloud computing and cloud storage has revolutionized the way mundane data sources are managed and maintained. In this context, a cloud-based storage and analytics service – Snowflake is rapidly creating inroads and is transforming the way data is managed across organizations. Snowflake is the proprietary platform of Snowflake Inc., a cloud computing-based data warehousing company, based in Bozeman, Montana.
Snowflake offers a single, global platform of your complete database ecosystem, offering seamless collaboration across multiple business entities. This platform offers the right mix of performance, flexibility and near-infinite scalability to easily upload, combine, analyze and authentically share your data anywhere, anytime. It is a fully managed service that is easy to work while letting you power a myriad number of concurrent workloads. And the best part is it can run on multiple cloud platforms like Amazon S3, Microsoft Azure, and Google Cloud Platform.
Note: The syllabus listed above is indicative and may include more topics for comprehensive learning.
This course is supplemented by relevant lab exercises, lectures, group discussions as well as extensive hands-on practice sessions.
After successful completion of the Snowflake Training course we have successfully placed our students in major MNC companies. We offer 100% placement support to our students.
Eclasess offers 100% snowflake training placement Guaranteed program for deserving students.
- Cloud Data warehouses introduction
- Advantages of Cloud data warehousing.
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Describe about various popular cloud data
warehouses
- Redshift (AWS)
- Snowflake
- Azure synapse (Microsoft)
- Big Query (Google)
- Introduction
- Pricing
- Supported Regions
-
Snowflake Editions
- Standard Edition
- Enterprise Edition
- Business Critical Edition
- Virtual Private Snowflake (VPS)
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Supported Cloud Platforms
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Microsoft Azure (Azure)
Connected to Snowflake
- How to create snowflake account
- Different features in Snowflake.
- Web interface overview and how to use
- SnowSql tool introduction and Usage.
- Overview
- Architecture layers – Storage, Query Processing and Cloud Services
- Overview of Data Loading
- Summary of Data Loading Features
- Data Loading Considerations
- Preparing to Load Data
- Bulk Loading Using COPY
- Loading Continuously Using Snowpipe
- Loading Using the Web Interface (Limited)
- Querying Data in Staged Files
- Querying Metadata for Staged Files
- Transforming Data During a Load
- Working with Subqueries
- Querying Hierarchical Data
- Working with CTEs (Common Table Expressions)
- Querying Semi-structured Data
- Using Window Functions
- Using Sequences
- Using Persisted Query Results
- Estimating Number of Distinct Values
- Estimating Similarity of Two or More Sets
- Estimating Frequent Values
- Estimating Percentile Values
- Analyzing Queries Using Query Profile
- Canceling Statements
- Introduction to Semi-structured Data
- Semi-structured Data Considerations
- Tutorial: JSON Basics
- Overview of Warehouses
- Multi-cluster Warehouses
- Warehouse Considerations
- Working with Warehouses
- Monitoring Warehouse Load
- Understanding Snowflake Table Structures
- Working with Temporary and Transient Tables
- Working with External Tables
- Overview of Views
- Working with Secure Views
- Working with Materialized Views
- Table Design Considerations
- Cloning Considerations
- Data Storage Considerations
- Understanding & Using Time Travel
- Understanding & Viewing Fail-safe
- Storage Costs for Time Travel and Fail-safe
- Introduction to Secure Data Sharing
- Overview of the Product Offerings for Secure Data Sharing
- Granting Data Exchange Administrator Privileges to Other Roles
- Secure Direct Data Share
- Data Providers
- Working with Shares
- Sharing Data from Multiple Databases
- Sharing Data Securely Across Regions and Cloud Platforms
- Using Secure Objects to Control Data Access
- Managing Reader Accounts
- Configuring a Reader Account
- Enabling Sharing from a Business Critical Account to a non-Business Critical Account
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System Defined roles
- ACCONTADMIN
- SECURITYADMIN
- SYSADMIN
- PUBLIC
- Custom Roles
- How to extract data from Snowflake to Power BI.
- How to use ETL tools to pull data from sources to Snowflake.
To Speak With an Expert
+91 7989781302
- Duration 45 Hours
- Trained Students 7645
- Days 45 Days
- Resume Preparation Yes
- Interview Guidance Yes
