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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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PhoneGap platform top details you need to develop mobile apps: part-1

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There are many smartphone platforms on the market: Android, iPhone, BlackBerry, Nokia, the Windows 7 Phone, and WebOS. Newer platforms are on the rise as well, such as Samsung's Bada and Meego. Why PhoneGap You Need The development of mobile applications increasing day by day, so you need one solution. That is single platform. History of Operating system In the year 2000, we saw a similar situation in the desktop world. We had Microsoft Windows, Apple's Mac, and various versions of Linux and UNIX.  At that time, it was difficult to build products that would run on all these platforms. The resulting fragmentation was often solved via in-house solutions by building frameworks in C++, with Operating System (OS)-specific modules abstracted. Fortunately, Sun's Java came to the rescue and provided us with a common platform on which to build. With Java's build-once-and-run-anywhere strategy, building desktop products had become a breeze. Between 2004 and 2008,...
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