# Internet of Things (IoT)
refers to a network of physical objects or “things” embedded with software, sensors, … allowing them to collect & exchange data over the internet. These connected devices can include everyday objects.
The goal of IoT is to enable a communication between these devices to share information, perform intelligent actions - often without direct human intervention.
# Big Data
refers to data sets that are too large / complex to be dealt with by traditional data-processing application software.
5 V’s
- Variety: lots of data formats
- Volume: management of massive data amounts
- Validity: one of main reasons of BD = throw away false data
- Velocity: constant changes; new creations
- Value: a company uses saved data to win from them
Big Data Analysis
- Descriptive Analytics - analysis of data from the past - identifies patterns & trends
- ”What happened?”
- Diagnostic Analytics - analysis of data from the past
- ”Why did something happen?”
- Predictive Analytics - uses statistics & ml to predict something in the future
- ”What could happen?”
- Prescriptive Analytics - sees something from the past & gives recommendations for the future
- ”What should we do - to reach a goal?”
# DS: Data-Science
is the process of analyzing & interpreting data. this is used to gain useful insights & make informed decisions, using statistics and machine learning. it helps to find trends in data, guiding businesses & researchers in making better choices.