Enterprise Data Excellence

Transforming Enterprises Through
Modern Data Engineering

Elite consulting and corporate training in Snowflake, AWS, dbt, and Datavault 2.0. We build scalable data architectures and upskill your teams for the AI era.

Explore Programs

5,000+

Professionals Trained

100+

Corporate Clients

15+

Years Experience

Trusted by data teams at industry leaders

UST Global

Enterprise Services & Consulting

Comprehensive solutions spanning architectural design, implementation, and corporate enablement.

Snowflake Consulting

Optimize your data cloud architecture, virtual warehouses, and performance tuning.

View Case Study

Data Engineering

Architect and implement end-to-end data pipelines, streaming architectures, and orchestration frameworks.

View Case Study

AWS Data Platform

Build robust data lakes and analytics solutions on AWS using Redshift, EMR, and Glue.

View Case Study

dbt Implementation

Transform data in your warehouse with software engineering best practices.

View Case Study

Datavault 2.0

Design agile, scalable enterprise data warehouses resilient to business changes.

View Case Study

AI & Analytics

Bridge the gap between raw data and predictive machine learning models.

View Case Study

World-Class Training

Upskill your engineering teams with hands-on, scenario-based learning led by active industry practitioners.

Snowflake, SQL Corporate / Batch

Snowflake Cloud Analytics Masterclass

6 Weeks

Intermediate

Available for Enterprise Teams View Syllabus

Python, Airflow, Spark Immersive

Modern Data Engineering Bootcamp

12 Weeks

Beginner to Pro

Available for Enterprise Teams View Syllabus

dbt, Jinja, Git Workshop

dbt & Analytics Engineering

6 Weeks

Intermediate

Available for Enterprise Teams View Syllabus

Data Modeling Certification

Datavault 2.0 Architecture

2 Weeks

Advanced

Available for Enterprise Teams View Syllabus

Data Viz, DAX Immersive

Power BI & Excel Data Analytics

8 Weeks

Beginner to Pro

Available for Enterprise Teams View Syllabus

Why Partner With Hcg-Solutions?

Unlike traditional training platforms, we are active consultants building modern data stacks daily. We bring production battle-scars directly into the classroom.

Practitioner-Led Instruction

Real-World Production Scenarios

Enterprise Architecture Focus

Dedicated Hands-on Cloud Labs

Post-Training Mentorship

Customized Corporate Pathways

"They didn't just teach us tools; they transformed how our engineering team approaches problem-solving."

— VP of Engineering, Fortune 500 Fintech

98%

Completion Rate

4.9/5

NPS Score

500k+

Lab Hours

3,200+

Certified Alumni

The Modern Data Stack Ecosystem

Technologies we consult on and teach.

Snowflake

AWS

dbt

Databricks

Airflow

Kafka

Python

Power BI

Enterprise Success Stories

Real outcomes from our consulting and training interventions.

Global Retailer Consulting

Migrating Legacy On-Prem to Snowflake Cloud

Problem: Slow reporting, unscalable Teradata infrastructure.

Solution: Architected Snowflake Data Cloud, implemented dbt for transformations.

85%

Query Speed Increase

Fintech Unicorn Corporate Training

Upskilling 50+ Engineers in AWS & Datavault 2.0

Challenge: Team lacked modern modeling skills for regulatory compliance reporting.

Intervention: 6-week custom bootcamp on Datavault methodology and AWS EMR.

100%

Certification Pass Rate

What Data Leaders Say

Read all student testimonials

"The depth of knowledge their consultants possess is unmatched. The training program they delivered fundamentally changed how we build data pipelines."

Sarah Jenkins

VP of Data, TechCorp

"We tried learning dbt in-house, but having an expert guide us through enterprise patterns saved us months of trial and error."

Marcus Reed

Lead Engineer, DataFlow

"The Snowflake migration was flawless. Their architecture consulting provided a solid foundation that now processes terabytes daily."

Alicia Keys

CTO, CloudScale

Led By Industry Veterans

Learn from and consult with professionals who have architected data systems for the Fortune 500.

Michael Chang

Principal Architect / Founder

Ex-AWS, Snowflake SME

Elena Rodriguez

Lead Training Director

Certified Datavault Instructor

David Kim

Head of AI & Analytics

Ex-Databricks

Ready to Upskill Your Data Teams?

Book a discovery call to discuss custom corporate training pathways or enterprise data consulting.

Back to Training

Snowflake Corporate Training

WHERE YOUR DATA CLOUD EXPERIENCE BEGINS

What is Snowflake?

Snowflake is a cloud-based data warehouse and analytical tool. With so many SaaS-based Data warehouse applications available currently that are competing against one another, Snowflake stands out among the crowd for its uniqueness in design and approach. Unlike other data warehouse systems, Snowflake is not built on Big data platforms; rather it works on a new SQL engine that is best suited for the cloud.

Having one of the best ACID (atomicity, consistency, isolation, and durability) compliant solutions, one of the USPs of Snowflake's unique capabilities is in its table structures wherein Micro-Partitions and Data-Clustering are adopted. Snowflake allows users to "time travel" i.e., track data changes overtime and view changes made anytime in the past up to 90 days.

Cloning - creates instant copy of any snowflake object.
Undrop - any dropped object (Databases, schemas, tables etc) can be undropped.
Fail safe - In the event of any disaster, engineers can recover data up to a 7-day period post-failure.
Analytics Solution - Architecture helps in dealing with data and analytics alongside data warehousing capabilities.

1 Snowflake - LEVEL-1

15 Hours

Module-1: Cloud Data Warehousing

• What is Cloud?
• DB & Data Warehouse, OLAP vs OLTP
• DataWarehouse Schemas
• AWS Account Setup, S3 bucket, Policy
• SaaS, PaaS & IaaS
• Benefits of a cloud data warehouse

Module-2: Introduction To Snowflake

• Account Setup & WebUI Overview
• Worksheets & Object Explorer
• Roles overview (ACCOUNTADMIN, SYSADMIN)
• Custom roles

Module-3: Connecting To Snowflake

• SnowSQL (CLI Client) Installation
• JDBC Driver Configuration
• ODBC Driver API & Diagnostics
• Diagnosing Common Connectivity Issues

Module-4: Snowflake Architecture

• Key Concepts & Architecture
• Cloud Platforms & Editions
• Overview of the Data Lifecycle
• Continuous Data Protection

Module-5: Virtual Warehouses

• Scaling policy
• Assignment on virtual warehouse
• Quiz on virtual warehouse

Module-6: Learn & Play with SQL

• DDL: CREATE, DROP, ALTER, TRUNCATE
• DML: INSERT, UPDATE, DELETE
• TCL: COMMIT, ROLLBACK, SAVEPOINT
• DCL & DQL Basics

Module-7: DQL in Detail

• CONSTRAINTS, JOINS
• LIKE, WHERE, SORTING
• GROUP BY, HAVING
• INDEX, FUNCTIONS

Module-8: Micro-partitions & Clustering

• Benefits of Micro-partitioning
• Query Pruning
• Data Clustering & Depth
• Monitoring Clustering Information

2 Snowflake - LEVEL-2

15 Hours

Module-1: Snowflake Objects

• Databases & Schemas
• Table Types (PERMANENT, TEMPORARY, TRANSIENT, EXTERNAL)
• Views (Standard, Materialized, Secure)

Module-2: Working with Objects

• Zero-Copy Cloning (tables, schemas, DBs)
• Swapping tables & Sharing secure views
• Maintaining Materialized views & Costs

Module-3: Stages in Snowflake

• Creating stages & COPY command
• VALIDATION_MODE & Rejected records
• Copy options (SIZE LIMIT, FORCE, ON_ERROR)

Module-4: Snowpipes

• High-level steps & Creating pipe
• Configure pipe & notifications
• Error handling

Module-5: Semi-Structured Formats

• JSON, Parquet, AVRO, XML, ORC
• Handling nested data & arrays
• Dealing with hierarchy

Module-6: Loading / Unloading Data

• Bulk Loading (S3, Azure, Local)
• Continuous Loading via Snowpipe
• Transforming Data During a Load

Module-7: Snowflake Tasks

• Creating tasks & Using CRON
• Trees of tasks & Stored procedures
• Task history & Error handling

Module-8: Streams in Snowflake

• Process all data changes
• Types of streams
• Combine streams & tasks

3 Snowflake - LEVEL-3

15 Hours

Module-1: Sharing Data

• Intro to Data Sharing & Providers
• Using Secure Objects to Control Access
• Configuring a Reader Account

Module-2: Time Travel

• Using time travel & Restoring data
• Retention time & Costs
• Cloning with time travel

Module-3: Fail Safe

• What is Fail Safe?
• How Fail Safe Works
• Fail Safe storage

Module-4: Account Management

• System Usage, Billing, Credit Consumption
• Working with Resource Monitors
• Performance Optimisation & Caching

Module-5: Data Masking

• Creating a masking policy
• Unset & replace policy
• Alter an existing policy

Module-6: SnowSight Visualization

• Getting Started With Snowsight
• Querying Data Using Worksheets
• Visualizing & Sharing Dashboards

Module-7: Partner Connects

• Connect Power BI & Snowflake
• Connect Tableau & Snowflake
• Connect to ETL tools & Python

Module-8: DBT with Snowflake

• Connect with Python
• Fetch-Pull data in Python
• Working DBT Model

Program Deliverables

45+ Hours of Recorded Sessions

15+ Assignments Hands-on Practice

300+ Q&A Interview Preparation

Transforming Enterprises Through Modern Data Engineering

5,000+

100+

15+

Enterprise Services & Consulting

Snowflake Consulting

Data Engineering

AWS Data Platform

dbt Implementation

Datavault 2.0

AI & Analytics

World-Class Training

Snowflake Cloud Analytics Masterclass

Modern Data Engineering Bootcamp

dbt & Analytics Engineering

Datavault 2.0 Architecture

Power BI & Excel Data Analytics

Why Partner With Hcg-Solutions?

The Modern Data Stack Ecosystem

Enterprise Success Stories

Migrating Legacy On-Prem to Snowflake Cloud

Upskilling 50+ Engineers in AWS & Datavault 2.0

What Data Leaders Say

Led By Industry Veterans

Michael Chang

Elena Rodriguez

David Kim

Ready to Upskill Your Data Teams?

Hear from Our Alumni

Ready to Join the Success Story?

Legacy Modernization: SSMS to Snowflake Cloud Platform

Project Overview

Solution Architecture Dataflow

Our Delivery Capabilities

Snowflake Excellence

Software Engineering for Data: Enterprise dbt Implementation

Project Overview

dbt Transformation Architecture

CI/CD & Version Control

dbt Excellence & Modularity

Real-Time Streaming & Enterprise Pipeline Architecture

Project Overview

Data Engineering Architecture

Real-Time Streaming

Advanced Orchestration

Serverless Enterprise Data Lake on AWS

Project Overview

AWS Architecture Dataflow

Serverless Architecture

Compliance & Security

Enterprise Data Warehouse Redesign with Data Vault 2.0

Project Overview

Data Vault 2.0 Architecture Layering

Agile Data Modeling

Auditability & Compliance

Predictive Analytics: Customer Churn MLOps Pipeline

Project Overview

MLOps Pipeline Architecture

Productionizing ML Models

Actionable Insights

Snowflake Corporate Training

What is Snowflake?

1 Snowflake - LEVEL-1

Module-1: Cloud Data Warehousing

Module-2: Introduction To Snowflake

Module-3: Connecting To Snowflake

Module-4: Snowflake Architecture

Module-5: Virtual Warehouses

Module-6: Learn & Play with SQL

Module-7: DQL in Detail

Module-8: Micro-partitions & Clustering

2 Snowflake - LEVEL-2

Module-1: Snowflake Objects

Module-2: Working with Objects

Module-3: Stages in Snowflake

Module-4: Snowpipes

Module-5: Semi-Structured Formats

Module-6: Loading / Unloading Data

Module-7: Snowflake Tasks

Module-8: Streams in Snowflake

Transforming Enterprises Through
Modern Data Engineering