Data Build Tool Training by techsolidity offers you strong data engineering skills. Our DBT professional walks you through the major components of DBT software & makes you fundamentally strong in performing data transformation tasks using DBT. You will learn to transform data using simple SQL statements and gain mastery in core areas like DBT architecture, applications, model strategies, Macros, performance optimization, jinja, automated testing, and more. During this DBT Cloud Training course, you will work on real datasets to perform core operations such as data extraction, loading, transformation operations, etc. Gain real-time data transformation skills from experienced professionals and get exposure to real-world projects by registering in our data build tool certification course program.
Data Build Tool simplifies the data transforming process and produces high-quality data sets usable for AI, ML, BI, and operational purposes.
Used by thousands of small to large-scale enterprises.
Data Build Tool is one of the skills most in demand in the data engineering segment.
This DBT ETL training online program consists of all DBT core and DBT Cloud modules arranged sequentially to deliver end-to-end data transformation skills. This training focuses on the DBT cloud version and covers critical components such as DBT architecture, features, analyses, seeds, models, macros, snapshots, tests, materializations, jinja templates, hooks, integrations, etc. Below are the Data Build Tool DBT training modules covered during this program:
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Following are the core skills you will gain during this DBT online training:
You should have a good understanding of SQL, ETL, ELT, and Data warehousing concepts.
Following are the individuals who can enroll in our DBT ETL training Online:
Data Engineering is one of the leading technologies in today's IT world. Data has become a new resource for modern businesses, enabling companies to make more reliable decisions. A modern data stack requires multiple tools to make data engineering successful. DBT is one significant technology being used in modern data engineering.
DBT is an open-source platform that helps organizations simplify the data transformation process in their data warehouse with simple SQL queries. It comes with rich features to transform data effectively and produce reliable data that can be used for various business operations.
The usage of the Data Build tool has been growing tremendously over the years and demand for Skilled DBT professionals is increasing. There are very limited professionals in the market who are skilled in DBT.
Our DBT training has been designed to impart the learners with core DBT skills such as DBT fundamentals, Jnja’s, Macros, Data modeling, integrations, materializations, and more. This program is more practical-oriented and helps you gain data transformation skills.
The following are the core components of Data Build Tool Certification :
Below mentioned are the notable benefits of DBT Tool :
Basically, data engineering teams use a data-build tool. Basically, organizations that have multiple data sources and need a centralized place to transform data use DBT. Below listed are the common roles that use the DBT platform:
DBT offers two modules which are the DBT Core and DBT Cloud
DBT Core is an open-source platform and no cost is associated with it. Whereas DBT Cloud is an enterprise-grade solution and is available on a subscription basis.
DBT Cloud is a browser-based platform that allows developers to build, test, schedule, and troubleshoot data models. It also provides DBT cloud CLI, which can be used to develop data models. DBT Cloud offers a robust environment for developers and extended features compared to DBT Core.
The following are the DBT Cloud Features:
A data build Tool (DBT) is a data processing framework that performs T in ETL (Extract, Transform, and Load). DBT uses cloud data platforms like Snowflake to perform data transformation, cleaning, and aggregation tasks. It is built on Python and has adapters to integrate with databases & query engines.
A seed is a CSV file in DBT residing in the seeds directory that can be loaded to a data warehouse like Snowflake using the Seed Command. Seeds can handle static data (data that doesn't change frequently) and smaller data sets like country lists, date dimension tables, etc.
The DBT “Model” is a clear plan to transform a raw dataset into a reusable one. A model also contains information about transformations that can be performed on raw data.
This data build tool training course is designed to provide you with the end-to-end knowledge required to clear DBT Analytics Engineering Certification exams and get certified. In addition to training, participants will receive certification dumps and guidance. They are also offered a course completion certificate.
Data Build tool is one of the most powerful SQL-based data transformation tools and adopted by 20,000+ organizations across the globe. We know how important data analytics have become and DBT plays a major role in data analytics.
DBT Analytics Engineering certification will make you stand out from your peers and demonstrates your skills & ability to handle DBT projects.
Following are the 2 Data Build Tool Certifications:
The Analytics Engineering Certification Exam is been designed to validate candidates' knowledge in building, testing, and maintaining Data models. Also, test the candidate's ability in applying data engineering principles and enabling data accessibility to all.
Exam details:
Number of Questions - 65
Duration - 120 Minutes
Cost - $ 200
Passing Score: 65%
The Dbt Cloud Administrator Certification Exam has been designed to test the candidates' level of knowledge in the below areas:
Exam details:
Number of Questions - 65
Duration - 120 Minutes
Cost - $ 200
Passing Score: 63%
Practical experience is very essential to gain the confidence required to get into your next project. With an aim to deliver practical transformation skills, we have designed this Data Build tool training around two live projects. Following are the projects that you are going to work on during this training.
DBT does not perform all the ETL tasks, such as extracting, transforming, and loading, but it is good at transforming data in the data warehouse. DBT is like the ELT process (extract, load, and change). It performs the last role (transformation) in ELT.
The DBT platform was developed using Python and generally uses SQL for data transformation operations. As the demand for multi-language support has grown, DBT has worked hard to support building Python models. Now, DBT also supports Python to build models.
DBT Cloud has become so popular because it makes data modeling simple and data engineer life easier by eliminating hard coding. Moreover, one can test all data models and sources without depending on external tools. You can use basic SQL queries to write transformation queries or you can also use jinja language. Overall it is very easy to learn the data build Tool (DBT). This DBT Cloud training has been designed from scratch and covers advanced concepts.
Generally, DBT offers two versions which are DBT Core and DBT Cloud. DBT offers responsive UI and easy to navigate through different tabs. It will be hosted on a powerful cloud platform to give optimal performance and required speed. DBT Cloud also offers additional features such as a DBT job scheduler, metadata, IDE, observability, integrations with other tools, etc.
You don't have to worry if you are unfamiliar with other programming languages. You can still use SQL select statements to write custom transformations. It makes the work of data engineers who don’t have work experience in multiple languages easier.
Yes, Techsolidty offers you two types of Discounts: one is a group discount and the other is a referral discount. Join as a group in this Data Build Tool Training to grab a discount.
Yes, In order to provide you the financial flexibility, we provide you the chance to pay the DBT Cloud Training fee in two installments.
Due to any reasons, you would like to cancel your registration after paying the fee, you should intimate the same to us within the first two classes. The refund amount will be processed within 30 days from the requested date.
To meet customer expectations, we provide multiple types of DBT ETL Training, which include Live instructor-led training, Self-paced training, blended training, classroom training, corporate training, etc.
Yes, our Data build tool training Contains two live projects! You will be using each component during DBT cloud training to gain practical exposure.