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We're here to help you find itThe Cloudera Data engineering Certification is a professional credential that validates an individual's expertise in Data engineering using Cloudera's tools and platforms. It demonstrates the holder's ability to build and maintain reliable Data pipelines capable of processing large volumes of data, essential in today's data-driven industries. Earning this certification showcases proficiency in Data transformation, storage, and analysis, using Apache Spark and the Cloudera ecosystem. Industries use this certification to ensure their data engineers are skilled in handling big data challenges, optimizing data processing tasks, and contributing to the efficient management and analysis of vast data sets to drive business insights and decision-making.
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| Course Fee | 575 |
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Total Fees |
575 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Prem Nidhi Sharma
An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience.
I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.
My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.
In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.
I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.
- Data engineers seeking to build scalable data pipelines
- Software engineers transitioning into data-focused roles
- IT professionals aiming to master Big Data technologies
- Data scientists wanting to enhance their engineering skills
- DevOps specialists interested in data processing frameworks
- Certified Instructor-led training
- Enhances career with in-demand skills
- Customizable training programs to fit individual needs
- Option for destination training in exotic locations
- Competitive and affordable pricing
- Recognized as a top training institute worldwide
- Flexible training dates to accommodate your schedule
- Online training available for remote learning convenience
- Broad selection of courses across various technologies
- Accredited training ensures quality and industry recognition
Upon completing Cloudera Data Engineering certification training, individuals can gain skills such as writing, debugging, and optimizing Apache Spark applications, managing data pipelines, and working with streaming data. They learn to use Cloudera tools for data transformation and to handle large-scale data processing. Proficiency in ETL processes, Spark SQL, and machine learning integration, as well as an understanding of Cloudera's platform for deploying applications, is also developed.
Top companies hiring Cloudera Data Engineering certified professionals include IBM, Deloitte, Accenture, Capgemini, and Booz Allen Hamilton. These firms value the certification for its focus on big data solutions and scalable data pipelines, thus seeking individuals adept in Hadoop, Spark, and data processing.
The learning objectives of the Preparing with Cloudera Data Engineering course typically include:
1. Understanding the core concepts of Cloudera's data engineering ecosystem.
2. Learning how to develop and run data engineering pipelines using Cloudera technologies.
3. Gaining proficiency in using Apache Spark for large-scale data processing.
4. Mastering the implementation of ETL processes and data analytics on Cloudera's platform.
5. Developing skills to optimize data engineering workflows for efficiency and scalability.
6. Preparing for Cloudera certification examinations through hands-on practice and theoretical knowledge.
