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14 Top Data Pipeline Key Terms Explained

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 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
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6 Worth-it Cloud Security Courses

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Cloud security is critical to run cloud-applications. I have shared few courses useful for cloud security.

To get a job you need good training. Security courses are currently hot in the market.
  1. Cloud Security Hands-On Training: This course provides a solid foundation in cloud security, and includes a full day of hands-on labs to apply the principles in practice. We cover all the material needed to pass the Cloud Security Alliance Certificate of Cloud Security Knowledge (CCSK) exam, but add a pragmatic approach to immediate kick start your cloud security projects. For Black Hat we also add expanded material to show you how to take cloud security to the next level by leveraging DevOps techniques and the characteristics of the cloud.
  2. Cloud Security Fundamentals: An overview of security issues within each of these models will be covered with an in-depth discussion of the risks involved. This cloud security training course will go in-depth on architecture and infrastructure fundamentals for private, public and hybrid clouds, including a wide range of topics such as patch and configuration management, virtualization security, application security and change management. 
  3. Institute of information Security: In this course, we shall first discuss the characteristics of cloud computing and later on focus specifically on cloud security’s best practices taking reference from industry standards like NIST, OWASP, Cloud Security Alliance etc. We then look into the broad set of policies, technologies, and controls deployed to protect client data, applications and infrastructure associated with cloud computing.
  4. Cloud Security Training: In this course you will learn Virtualization Concepts and security, Risk Assessment on Cloud Migration and Emerging Threats
  5. Certification in Cloud Security:
  6. Cloud Security Essentials: In this course you will learn about Cyber-cloud and Mobile-security concepts.

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