Recommended Snowflake Training
What makes Snowflake different?
Snowflake is an innovative, cloud-based platform for storing, processing, and analyzing data. It was designed to simplify data management and maximize the efficiency of data workflows, allowing businesses to focus on data-driven decision making. Snowflake features storage, compute, and global services layers that are physically separated but logically integrated. Data workloads scale independently from one another, making it an ideal platform for data warehousing, data lakes, data engineering, data science, modern data sharing, and developing data applications.
With so many SaaS Data warehouse solutions available 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 but works on a new SQL engine best suited for the cloud.
Some of the well-known features of Snowflake are:
- Cloning – the clone feature creates an instant copy of any Snowflake object with no storage costUndrop – any dropped object (databases, schemas, tables, etc.) can be undropped
- Pay-as-you-go pricing – Snowflake offers a pay-as-you-go pricing model that enables businesses to only pay for the resources they use
- Data Sharing – Snowflake enables secure data sharing across multiple accounts, enabling businesses to collaborate with partners and customers without compromising data security
- Time Travel – Time travel refers to the ability to query data as it existed at a specific point in time
- Fail-safe – In the event of any disaster like hardware or disk failures, Snowflake engineers can recover the data for up to seven days
Before getting started with this software, it can be helpful to undergo Snowflake training. This training encompasses a wide range of topics and typically starts with an introduction to the basics, including Snowflake’s architecture, components, and functionality. Another crucial part of training involves learning how to load data into Snowflake. Learners acquire the skills necessary to move data from various sources into the platform, understanding different data loading methods and techniques. This includes using bulk loading operations and Snowflake's own data loading service, Snowpipe. Queries play an important role when it comes to interacting with data in Snowflake, and so most training programs cover Snowflake's SQL extensions and how to use them to perform complex data manipulations and analysis. Learners delve into creating databases, tables, and executing SQL queries within the platform. At the end of the training, learners usually gain some type of hands-on experience, applying critical skills and concepts to real-world scenarios. By doing so, they cement the knowledge they’ve acquired up to that point in training. This allows them to get the most out of Snowflake in the field.
ExitCertified offers quality Snowflake training that prepares learners for six different SnowPro certifications. By completing ExitCertified’s training courses, you can be better prepared to take and ace these exams, thereby boosting your confidence with Snowflake and furthering your career goals.
Snowflake certification indicates proficiency in Snowflake and is essential for anyone looking to fully exploit the potential of this software. Today, there are a myriad of ways that one can become certified in Snowflake.
Here are a few of the most popular options:
- SnowPro Core Certification: This Snowflake certification targets individuals who want to establish their expertise in the broader aspects of the Snowflake data platform. SnowPro Core validates your knowledge of Snowflake architecture and is ideal for data analysts and engineers.
- SnowPro Advanced Architect Certification*: This advanced-level certification is geared towards professionals who design and architect Snowflake solutions. It showcases a candidate's ability to create efficient and secure implementations using Snowflake. To qualify, individuals should have extensive knowledge of Snowflake's architecture and unique capabilities.
- SnowPro Advanced Data Engineer Certification: The SnowPro Advanced Data Engineer program was designed for data engineers responsible for developing and managing data pipelines in Snowflake. It demonstrates knowledge in building scalable data solutions, performance tuning, handling semi-structured data, and data governance strategies within Snowflake.
- SnowPro Data Applications Developer Certification: SnowPro Data Applications Developer is for developers building data-driven applications using Snowflake. It tests one's ability to leverage Snowflake's capabilities for application development, including using SQL extensions and creating stored procedures.
The Snowflake learning path involves a series of steps, from understanding the basic functionalities to mastering advanced features and, finally, achieving official certification.
Here’s a more in-depth look at the process:
- Understanding the Basics: The first step is gaining a basic understanding of the platform. Familiarize yourself with Snowflake's architecture, its data warehousing capabilities, and the unique features it offers, such as near-zero management and seamless scalability.
- Prerequisite to Learn Snowflake: Before diving into Snowflake, it’s important to have a basic understanding of SQL and data warehousing concepts. Familiarity with cloud platforms like AWS and Google Cloud can also be advantageous, since Snowflake is a cloud-native platform.
- Online Training and Tutorials: Once you have an elemental understanding of the software, participate in Snowflake training online. There are numerous resources available to help you learn the practical aspects of Snowflake. For instance, DataCamp Snowflake courses offer interactive learning experiences that can be extremely helpful for those just getting started with the software.
- Advanced Learning and Practice: Next, you can begin learning about advanced topics like data sharing, security, performance tuning, and working with semi-structured data. Apply these concepts in practice scenarios. This will prepare you for real-world Snowflake applications.
- Snowflake Training and Certification: At this point, you should be prepared to demonstrate and validate your skills through Snowflake certification. There are several different certification paths for Snowflake, so it’s important to consider your specific career goals before embarking on your certification journey.
- Snowflake Certification Training: Preparing for the certification exam requires focused learning. Snowflake certification training courses can be helpful as you get ready for the exam. They usually include practice tests that simulate the actual exam, which can be a great way to gauge your readiness.
- Certification Exam: The final step in the Snowflake learning path is taking the certification exam. It's a timed test, often multiple-choice, covering the areas specified in the certification syllabus.
- Continuous Learning: Even after obtaining certification, it's important to continue learning. Snowflake regularly introduces new features and updates. Staying abreast of these changes and continuously learning can help you maintain proficiency and keep your skills sharp.
Snowflake training and certification can be a long process, but with the right tools and resources, you can hit on all relevant topics and prepare to demonstrate proficiency with the software. Understanding key concepts and becoming familiar with exam expectations beforehand is key to a successful outcome.