Professional Certificate in Data Engineering for Web

Name: Professional Certificate in Data Engineering for Web
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The Professional Certificate in Data Engineering for Web is a crucial course designed to equip learners with the necessary skills to excel in data engineering careers. This program focuses on developing competencies in handling and analyzing large datasets, a skill highly sought after in various industries.

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AboutThisCourse

With the increasing demand for data-driven decision-making, data engineers play a vital role in designing, building, and managing data infrastructure. This course covers essential tools and technologies such as SQL, Apache Hive, PostgreSQL, Apache Kafka, and AWS services. Upon completion, learners will be able to design and implement data pipelines, work with SQL and NoSQL databases, and use big data tools to manipulate and analyze data. These skills are essential for career advancement in data engineering, web development, and related fields. Enroll in this course to gain a competitive edge in the job market and contribute to an organization's data-driven success.

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CourseDetails

• Data Engineering Fundamentals: Introduction to data engineering, data lifecycle, data storage options, data processing, and data governance.
• Data Pipelines and Workflows: Designing and implementing data pipelines, batch processing, real-time processing, and workflow management.
• Big Data Technologies: Hadoop, Spark, Hive, Pig, and other big data technologies.
• Cloud Computing for Data Engineering: Overview of cloud computing, cloud data storage, and cloud data processing.
• Data Warehousing and ETL: Data warehousing concepts, ETL (Extract, Transform, Load) processes, and dimensional modeling.
• Data Streaming and Real-Time Processing: Data streaming, real-time processing, and stream processing tools.
• Data Governance and Security: Data security, compliance, data privacy, and data governance best practices.
• Data Engineering Tools and Frameworks: Apache Airflow, Kafka, and other data engineering tools and frameworks.
• Machine Learning and Data Engineering: Machine learning pipelines, data engineering for machine learning, and deploying machine learning models.

Note: This list assumes that the target audience is web professionals seeking to become data engineers. The course is designed to provide a holistic view of data engineering, covering fundamental concepts, tools, and best practices.

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EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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PROFESSIONAL CERTIFICATE IN DATA ENGINEERING FOR WEB

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London School of International Business (LSIB)

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05 May 2025

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