Human Computer Interation

Introduction to Data Science

June 3, 2017 Analytics, Big Data, Big Data Analytics, Big Data Management, Cloud Computing, Cold Path Analytics, Data Analytics, Data Collection, Data Hubs, Data Science, Data Scientist, Edge Analytics, Emerging Technologies, Hot Path Analytics, Human Computer Interation, Hype vs. reality, Industrial Automation, Internet of Nano Things, Internet of Things, IoT, IoT Devices, Keyword Analysis, KnowledgeBase, Machine Learning(ML), machine-to-machine (M2M), Machines, Predictive Analytics, Predictive Maintenance, Realtime Analytics, Robotics, Sentiment Analytics, Stream Analytics No comments

We all have been hearing the term Data Science and Data Scientist occupation become more popular these days. I thought of sharing some light into this specific area of science, that may seem interesting for rightly skilled readers of my blog.

Data Science is one of the hottest topics on the Computer and Internet nowadays. People/Corporations have gathered data from applications and systems/devices until today and now is the time to analyze them. The world wide adoption of Internet of Things has also added more scope analyzing and operating on the huge data being accumulated from these devices near real-time.

As per the standard Wikipedia definition goes “Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to data mining.”.

Data Science requires the following skillset:

Hacking Skills
Mathematics and Statistical Knowledge
Substantive Scientific Expertise

[Image Source: From this article by Berkeley Science Review.]

Data Science Process:

Data Science process involves collecting row data, processing data, cleaning data, data analysis using models/algorithms and visualizes them for presentational approaches. This process is explained through a visual diagram from Wikipedia.

[Data science process flowchart, source wikipedia]

Who are Data Scientist?

Data scientists use their data and analytical ability to find and interpret rich data sources; manage large amounts of data despite hardware, software, and bandwidth constraints; merge data sources; ensure consistency of datasets; create visualizations to aid in understanding data; build mathematical models using the data; and present and communicate the data insights/findings.

They are often expected to produce answers in days rather than months, work by exploratory analysis and rapid iteration, and to produce and present results with dashboards (displays of current values) rather than papers/reports, as statisticians normally do.

Importance of Data Science and Data Scientist:

“This hot new field promises to revolutionize industries from business to government, health care to academia.”

— The New York Times

Data Scientist is the sexiest job in the 21st century as per Harward Business Review.

McKinsey & Company projecting a global excess demand of 1.5 million new data scientists.

What are the skills required for a Data Scientist, let me share you a visualization through a Brain dump.

I thought of sharing an image to take you through the essential skill requirements for a Modern Data Scientist.

So what are you waiting for?, if you are rightly skilled get yourselves an Data Science Course.

Informational Sources:

IoT Jargons – Identity of Things (IDoT)

January 6, 2017 Communication Protocols, Connected, Connectivity, Emerging Technologies, futuristic, Geolocation, Human Computer Interation, Identity of Things (IDoT), Internet Appliance, Internet of Things, IoT, IoT Privacy, IoT Security, machine-to-machine (M2M), Machines, Programs, Robotics, Tech-Trends No comments

The Identity of Things (IDoT) is an area involves assigning universal unique identifiers (UUID) with associated metadata to devices and objects (things), to identify, connect and communicate effectively with other machines over the internet or within constrained local network.

The metadata included with the UUID characterizes the identity of an endpoint. Identity is an essential part of the Internet of Things (IoT), in which nearly anything conceivable can be tended to and organized for exchange of information on the web. In this specific cases, a thing can be anything – including both physical and sensible articles – that has a specific own identifier and the capacity to exchange information over a network.

Addressability and Reachability makes it possible for things/devices to be targeted and found. To make it addressable for the Internet of Things, a thing must be globally uniquely identifiable(no other thing with same identity).

To make communication among things effective and secure, following are some of the essential considerations for identities of things:

Maintaining a Lifecycle: IoT Devices should be capable of maintain a lifecyle depending on the use and duration of sustainability of the device. Hence IDoT should be capable of maintaining a history of changes happening to the device over its lifespan.
Maintaining Relationships:Identify also should provide a basic necessity to relate the device to other devices in the context as well as
Context-awareness: Identity and access management (IAM) for IoT entities should be context aware and grant access only limited to a specific context as required. This would avoid exploitation of devices incase of any cyber attack.
Adequate Authentication: provide means of securely authenticating IoT identities. This would ensure only authenticated entities can gain access to the IoT device.

All these essential features should help in obtaining a unique naming standards for IoT devices or projects in your organization.

Internet of Things (IoT)–Introduction

January 5, 2017 Communication Protocols, Connected, Connectivity, Emerging Technologies, Geolocation, Human Computer Interation, Hype vs. reality, Identity of Things (IDoT), Internet Appliance, Internet of Things, IoT, IoT Privacy, IoT Security, machine-to-machine (M2M), Machines, Tech-Trends No comments

The Internet of things (IoT) is the inter-networking of physical devices, vehicles (also referred to as “connected devices” and “smart devices”), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data.

The IoT allows objects to be sensed or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention.

“ Forecasts show an expected IoT universe with between 20 and 30 billion connected devices by 2020 “

Image result for Internet of Things

[Image Source: https://www.i-scoop.eu/internet-of-things-guide/]

IoT is expected to offer advanced connectivity of devices, systems, and services that goes beyond machine-to-machine (M2M) communications and covers a variety of protocols, domains, and applications.

Some of the important IoT messaging protocols are:

AMQP(Advanced Message Queuing Protocol) – An open standard application layer protocol for message-oriented middleware. The defining features of AMQP are message orientation, queuing, routing (including point-to-point and publish-and-subscribe), reliability and security.
MQTT (Message Queueing Telemetry Transport)- or MQ Telemetry Transport is a lightweight connectivity protocol geared for IoT applications. It is based on the TCP/IP stack which uses the publish/subscribe method for transportation of data. It is open-ended and supports a high level of scaling, which makes it an ideal platform for development of Internet of Things (IoT) solutions.
HTTP/2 – Enables a more efficient use of network resources and a reduced perception of latency by introducing header field compression and allowing multiple concurrent exchanges on the same connection.
CoAP(Constrained Application Protocol) – CoAP is a web transfer protocol based on the REST model. It is mainly used for lightweight M2M communication owing to its small header size. It is designed especially for constrained networks and systems withing the Internet of Things paradigm, hence the name, Constrained Application Protocol.
CoAP mimics HTTP in terms of user visibility, and from that standpoint, reading sensor values is essentially like making an HTTP request.
XMPP(Extensible Messaging and Presence Protocol) – An open technology for real-time communication, which powers a wide range of applications including instant messaging, presence, multi-party chat, voice and video calls, collaboration, lightweight middleware, content syndication, and generalized routing of XML data.

We will go through about them in detail in later posts.

That’s all for now. Keep reading.

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