Azure Data Engineering Certification | Azure Data Engineer Course

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Azure Data Engineer Course? Introduction to Azure
Data Factory, Big Data, and Key Concepts
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Introduction

• Microsoft Azure Data Engineer is essential in
  todays data-driven landscape, and mastering
  tools like Azure Data Factory (ADF) is a
  significant step for any aspiring Azure Data
  Engineer.
• This comprehensive Azure Data Engineer Course
  covers the key concepts and techniques in data
  engineering, including understanding what Big
  Data is, how its generated, and the fundamental
  principles needed to harness its power.

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Introduction to Azure Data Factory (ADF)
Azure Data Factory is Microsofts cloud-based ETL
(Extract, Transform, Load) tool designed for
complex data workflows and transformations.

• Data Integration and Orchestration Through its
  low-code interface, ADF enables Azure Data
  Engineers to design data workflows that manage
  and transform data across diverse data lakes and
  warehouses.
• Scalability and Automation ADF is built for
  scale, supporting scheduled data transformations
  and automated workflows that can process vast
  amounts of information.

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Understanding Big Data
Big Data refers to the massive volumes of
structured and unstructured data generated every
day. This data is too vast and complex for
traditional processing systems, necessitating
specialized tools and frameworks.

• Volume, Velocity, and Variety Known as the
  three Vs, these characteristics define Big
  Data. Volume refers to the large amounts of data,
  velocity denotes the speed at which data is
  generated, and variety highlights the different
  types of data, such as text, images, and sensor
  data.

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• Structured vs. Unstructured Data Structured
  data, like databases, fits into traditional
  models, while unstructured data, such as
  multimedia files and social media content,
  requires advanced processing techniques.
• Importance for Businesses Big Data allows
  organizations to gain insights into customer
  behavior, optimize operations, and drive
  strategic decisions.

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How Big Data is Generated

• Social media Platforms like Facebook and Twitter
  produce enormous amounts of user-generated data,
  ranging from posts to likes and shares.
• Internet of Things (IoT) IoT devices collect and
  transmit data across networks, from smart
  appliances to industrial sensors, contributing
  significantly to Big Data.
• E-commerce and Digital Transactions Online
  transactions generate records in databases that
  can be analyzed to detect trends and predict
  customer behavior.

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Key Concepts in Big Data Processing

• Data Cleaning and Preparation Data must be
  cleansed and formatted before it is useful for
  analysis. This process involves removing
  duplicates, handling missing values, and
  standardizing formats.
• Distributed Storage and Computing Big Data is
  often too large to store or process on a single
  machine. Distributed systems like Hadoop and
  Spark, integrated with Azure services, enable the
  management of data across multiple servers.

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Conclusion

• The Azure Data Engineer Course offers a
  comprehensive overview of Azure Data Factory, Big
  Data, and the core concepts necessary for
  data-driven business solutions.
• With a strong focus on Azure Data Engineer
  Training, this certification provides essential
  skills for analyzing, processing, and managing
  Big Data.

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CONTACT

• Azure Data Engineer Training Online
• Flat no 205, 2nd Floor, NILGIRI Block, Aditya
  Enclave, Ameerpet, Hyderabad-16
• Visit www.visualpath.in
• Mobile No 91-9989971070
• E-Mail Id  online_at_visualpath.in

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THANK YOU
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