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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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5 Top Internet-of-things Quiz for Software Developers

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Jobs on Internet of things
Internet-of-Things+Jobs+Skills
A report from Business Indider- Here are a few of the key findings from the BI Intelligence report:
  • The Internet of Things will be the largest device market in the world. We estimate that by 2019 it will be more than double the size of the smartphone, PC, tablet, connected car, and the wearable market combined.
  • The IoT will result in $1.7 trillion in value added to the global economy in 2019. This includes hardware, software, installation costs, management services, and economic value added from realized IoT efficiencies.
  • Device shipments will reach 6.7 billion in 2019 for a five-year CAGR of 61%. Revenue from hardware sales will be only $50 billion or 8% of the total revenue from IoT-specific efforts, as software makers and infrastructure companies will earn the lion's share.
  • The enterprise sector will lead the IoT, accounting for 46% of device shipments this year, but that share will decline as the government and home sectors gain momentum. By 2019, government will be the leading sector for IoT device shipments.
  • The main benefit of growth in the IoT will be increased efficiency and lower costs. The IoT promises increased efficiency within the home, city, and workplace by giving control to the user. However, many are hesitant to use devices as security problems are still an issue.
  1. The IoT lacks a common set of standards and technologies that would allow for compatibility and ease-of-use. There are currently few standards (or regulations) for what is needed to run an IoT device. Consortia that group together global industrial, tech, and electronics companies are involved in an effort to standardize the IoT and solve the most pressing security concerns.

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