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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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Windows Azure Cloud computing top points you need to learn now

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Interestingly, Windows Azure is an open platform that will support both Microsoft and non-Microsoft languages and environments.

Basically Windows Azure is Cloud computing

To build applications and services on Windows Azure, developers can use their existing Microsoft® Visual Studio® 2008 expertise.

What is Azure

Windows Azure is not grid computing, packaged software, or a standard hosting service. It is an integrated development, service hosting and management environment maintained at Microsoft data centers. The environment includes a robust and efficient core of compute and simple storage capabilities and support for a rich variety of development tools and protocols.

Jon Brodkin of Network World quotes Tim O'Brien, senior director of Microsoft's Platform Strategy Group, as saying that Microsoft's Windows Azure and Amazon's Elastic Compute Cloud tackle two very different cloud computing technology problems today, but are destined to emulate each other over time.

Many existing applications were built on the LAMP platform (Linux, Apache, MySQL and PHP).

While Microsoft would certainly like to convince you to build applications on its .NET platform using Microsoft development tools, it has recognized that restricting Azure to .NET and proprietary tools will limit its use and slow its growth.
Accordingly, it has provided a Windows Azure SDK for PHP that provides access to Windows Azure's storage, computation and management interfaces by abstracting the REST/XML interface Windows Azure provides into a simple PHP API.

Windows Azure has now been updated with .NET Framework 4.0, and there are new tools for Visual Studio and an updated SDK. The tools are much improved. You can now view the status of your Azure-hosted services and get read-only access to Azure data from within the Visual Studio IDE.

How to Debug

Debugging Azure applications is now easier, thanks to a feature called IntelliTrace that keeps a configurable log of application state so you can trace errors later. 

Deployment is now streamlined, and it can now be done directly from the IDE rather than through an Azure portal. 

The Azure database service, SQL Azure, has been updated too. It now supports spatial data types and databases up to 50GB. 

There is also a new preview of an Azure Data Synch Service, which controls synchronizing data across multiple datacenters, and a web manager for SQL Server on Azure.

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