Data Engineering

Data Engineering focuses on building and maintaining systems that collect, store, and process data, enabling efficient data management and analysis to support better business decisions and strategies.

Future of Data Engineering: 2020 – 2029

Data Engineering is experiencing rapid growth due to the increasing demand for data-driven insights from business intelligence, personalization, and the vast amounts of data generated by IoT and social media. Advances in cloud computing and big data technologies like Hadoop, Spark, and Kafka further drive this demand, along with evolving regulatory requirements and the integration of AI and machine learning. To succeed, candidates need strong programming, data processing, and cloud skills, paired with problem-solving and communication abilities. With promising career prospects and opportunities for roles such as data architect or data scientist, our Data Engineering course provides the essential training in data pipeline development, ETL processes, and tools like SSIS and Dell Boomi, ensuring you’re well-prepared for this evolving field.

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Duration

3 Months

Language

English

Certificate

Yes

The Data Engineering course is crafted to provide you with the expertise required to develop, manage, and enhance data pipelines and infrastructure, driving data-informed decisions and business success. Covering crucial areas such as data warehousing and ETL processes, it includes training on tools like SSIS and Dell Boomi. Suitable for both beginners and those aiming to upgrade their skills, this course offers practical, hands-on experience with live data systems.

Introduction to Data Engineering: Grasping how data infrastructure supports business operations.

Data Collection & Integration: Methods for collecting and merging data from diverse sources.

Data Pipeline Design: Creating and refining data pipelines with tools such as SSIS and Dell Boomi.

Data Analysis Toolkit: Gaining proficiency in SQL, Boomi and SSIS for effective data engineering.

Data Warehousing: Setting up and overseeing data warehousing solutions for optimal data storage and retrieval.

ETL Processes: Creating and managing Extract, Transform, Load (ETL) workflows for effective data processing.

Real-time Projects: Applying your skills to practical, industry-specific data engineering projects.

Data Engineering allows organizations to create and manage robust data pipelines, merge different data sources, and build efficient data systems that support performance evaluation, forecasting trends, and making data-driven decisions.

tools covered in Data Engineering course

Benefits of Xcel Data’s Data Engineering Program

Master the skills to build and refine pipelines for handling and combining diverse data sources.

Learn advanced methods for overseeing data flow and efficiently analyzing data patterns.

Grasp how strong data infrastructure bolsters company strategy and enhances operational effectiveness.

Acquire expertise in designing data pipelines, integrating systems, and building scalable solutions to support data-driven decision-making.

Reasons to Choose Xcel Data’s Data Engineering Course

This course is designed to focuses on constructing and overseeing data pipelines with expert guidance.

Trainees will learn how the data engineering can be applied to the creation and maintenance of data pipelines.

Trainees will learn from experts & practice data engineering techniques to develop oversee data pipelines.

The course focuses on industry best practices, such as data governance, security, and scalable architecture.

Key Benefits of Taking This Course

In-Demand Skills: You’ll learn how data infrastructure boosts and improves business decision-making.

Career Growth: You’ll propel your career forward by acquiring the skills required to design and oversee data systems that influence business decisions.

Versatility: Develop skills that are relevant across multiple industries, enhancing your value as a data engineering expert.

Data-Driven Decision – Making: Acquire the skills to create data systems that boost decision-making and drive better business results.

Networking Opportunities: Network with industry experts, instructors, and fellow learners who can aid in advancing your career in data engineering.