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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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IBM - Open Cloud Architecture

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Cloud computing is changing the way we think about technology, and it’s no passing fad. Consumers are using the cloud to store music. Startups are turning to cloud to get up and running without huge investments. Big businesses and governments are relying on clouds to make more data more accessible. 

Cloud computing.

is changing how business and society run, and it's opening up huge avenues of innovation. We are looking at how developers are now combining systems of record with systems of engagement, and we see a new style of cloud-based application emerging.

These are systems of interaction. For these applications to be sustainable, cloud computing needs to be built on open source and standards.

Wide adoption of open source software and open standards should be everyone's goal. It means customers won’t have to fear vendor lock-in, and organizations can participate in a growing market that welcomes a wide variety of cloud technology and service providers.

We've learned through our experience that open source and standards allow developers to share information more quickly and easily, and at lower costs. This leads to greater innovation. We are at an inflection point. We're focusing the industry on important standards for interoperability, and their open source reference implementations will:
  • Ensure that end users have a strong voice in establishing and adopting cloud computing paradigms
  • Reduce barriers of entry into cloud computing, such as development skills and freedom of choice
  • Increase the long-term viability of today’s cloud investments
  • Prevent unnecessary architectural complexity and fragmentation.
  • Openstack is a software to control your cloud

Open-stack software 

It controls large pools of compute, storage, and networking resources throughout a datacenter, managed through a dashboard or via the OpenStack API. OpenStack works with popular enterprise and open source technologies making it ideal for heterogeneous infrastructure.

Hundreds of the world’s largest brands rely on OpenStack to run their businesses every day, reducing costs and helping them move faster. OpenStack has a strong ecosystem, and users seeking commercial support can choose from different OpenStack-powered products and services.

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