Gain expertise in creating effective data models that ensure data consistency, accuracy
Hone your problem-solving abilities by tackling real-world data engineering challenges, applying critical thinking to design optimal solutions
HelixTech
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DATA ENGINEER COURSE
This comprehensive data engineering course equips participants with the essential skills and knowledge to design, build, and manage data infrastructur...Read more
Helix Tech
Helix Tech
Helix Tech
- Hands on Training
- Flexible Timings
- Industry Based Training
- Experienced Experts
- Affordable Fees
- Placement Opportunities
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Course Highlights
DATA ENGINEER COURSE
In the digital age, data has become a strategic asset, driving decision-making and innovation across industries. The role of a skilled data engineer has never been more crucial in ensuring the seamless flow of data from its raw state to valuable insights. Our Data Engineering Course is designed to equip you with the knowledge, tools, and hands-on experience needed to excel in this dynamic field.The Data Engineering Course is a deep dive into the world of data infrastructure, ETL processes, and data management. It is meticulously crafted to cater to both beginners who want to enter the field and experienced professionals aiming to enhance their skill set. Explore the Extract, Transform, Load (ETL) paradigm, mastering the techniques to extract data from diverse sources, transform it into the desired format, and load it into storage or analytical systems.
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I'M READY TO GET INCourse Curriculum
- Understanding the role of a Data Engineer and their contribution to the data ecosystem.
- Exploring the data engineering lifecycle and its significance in data-driven decision-making.
- Relational databases and NoSQL databases and their use cases.
- Introduction to distributed data storage systems like Hadoop HDFS and Amazon S3.
- Relational vs. NoSQL data modeling approaches.
- Overview of workflow orchestration tools like Apache Airflow and Luigi.
- Workflow management tools (Apache Airflow)
- Pipeline monitoring and management
- Data validation techniques
- Handling missing and erroneous data
- Data quality frameworks
- Data encryption
- Access control and authorization
- Compliance with data regulations
- Horizontal vs. vertical scaling
- Performance optimization strategies
- Load balancing
- Hadoop ecosystem
- Spark and distributed computing
- NoSQL databases
- Connecting to external data sources
- Data integration patterns
Professional Certificate
Beginner level
No previous experience necessary
Course Session
25 Days 1 Hours per day
Flexible schedule
Learn at your own pace
- Data Warehousing
- SQL and NoSQL Databases
- Cloud Platforms
- Data Warehouse Developer
- Cloud Data Engineer
- Streaming Data Engineer
FAQ
The training is designed to describe the main goals and objectives of the training, such as enhancing skills, improving knowledge, etc.
This training is intended for specify the target audience, such as beginners, professionals, specific job roles, etc.
List any required prerequisites, such as prior knowledge, experience, or skills that participants should have before taking the training.
Interview Question
The ETL (Extract, Transform, Load) process involves extracting data from various sources, transforming it into a consistent format, and loading it into a data warehouse or database for analysis. ETL ensures that data is clean, accurate, and ready for analysis.
A data warehouse is a centralized repository that stores structured and organized data from various sources. It supports reporting, analytics, and business intelligence by providing a consistent and historical view of data.
Schema design involves defining the structure of data storage in databases or data warehouses. It impacts data organization, querying efficiency, and ensures compatibility with downstream applications.
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Helix Tech-IT Solutions is one of the leading Software Development/Staff Augmentation/IT Staffing services providers in the US. We bring together the clients and the suitable candidates, building a community in the IT industry.
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