Data 101: Data Cloud

• "Rain, Rain, Go Away; Come Again Another Day; ... " so goes a nursery rhyme whispering the cloud to move. 

• In the Computer terms, Cloud refers to the Servers, Services and all of the things remotely accessible over Internet. 

• Though a relatively evolving concept as a data management ecosystem, the Data Cloud enables the ease of data access and its re-usage. 

• Be it a Data Mart, Data Warehouse, Data Lake, Data Lake House, Data Fabric or Data Mesh based solution, the Data Cloud stitches data for better business insights.

• In the overall Data Governance, Data Cloud covers from end to end, be it in infrastructure, platform, application, database, storage, or service, as a well connected continuous set of resources.

• The versatility of Data Cloud truly makes a strategic, next generation, Future ready solution.

• Let the Data Streets be wet by the Data Cloud for the finer, healthier and the best Data Harvesting.

Data 101: Data fast/ feast/ fest

~ Data Fast, Feast, Fest; is it a sequence or a cyclic one

~ Data fast: Having a little or lots of data around but holding-on to consume 

~ Data feast: Having data, enjoying and sharing it

~ Data fest: With no/ little/ loads of data (, insights, knowledge) and/ but celebrating it 

~ Data Fast, Feast, Fest; it may or may not be as above, but still worth parallelizing isn't it..!

Data 101: Data Library

 ~ Data Library is often part of large institutions offering long time data preserving, sharing, retrieval and replication to various data mediums. 

~ Data Library subscribes to public/ licensed databases having thousands and millions of records and/or articles.

~ Data Library catalog lists and describes the available materials.

~ This digital library hosts archived big data for wide purposes like scholary, research and development.

~ Data Librarians are the Information Managers assisting as technical, reference guide, part of data literacy, library research.

~ Britannica mentions "Shiyali Ramamrita Ranganathan (S R Ranganathan) - a librarian, educator, Maths post grad" as the Father of Library/ Library Science.

~ His 5 laws of library information science goes as "Books are for use ; Every reader has his book ; Every book has its reader ; Save the time of the reader ; Library is a growing organism".

Data 101: Data Intelligence

 ~ Generally, intelligence is spelt in categories like: Practical (Common Sense and Road Smart), Creative (Innovative, Imaginative, Problem Solving) and Analytical (Computational, Academic Problem Solving).

~ Talking about intelligence types (aka Talent) goes as: Logical, Linguistic, Visual/ Spatial, Body-kinesthetic, Musical, Inter-personal, Intra-personal, Naturalistic, Emotional, Existential, Creative, and Collaborative.

~ Based on the collection, analysis and usage of information, there are terms like intelligence, counter-intelligence, domestic intelligence and foreign intelligence.

~ On the basis of money and money matters, intelligence is called as Financial Intelligence.

~ Along with these, on the basis of data, its usage and application, there exists a few more set of Intelligence like Data Intelligence, Business Intelligence, and Artificial Intelligence.

~ Intelligence have different meanings and values in different cultures (cultural intelligence).

~ What culture are we in, what are we nurturing, and what are we looking for..?!

Data 101: Data 24x7x365

~ Zettabyte is Trillion Gigabyte.

~ Yearly data generations is 41, 59, 74 Zettabytes respectively during the years 2019, 2020, 2021.

~ Data professionals tells that on an average the data volume at the enterprises is growing by 63 percent per month.

~ There is proverb in Tamil language that "யானை இருந்தாலும் ஆயிரம் பொன், இறந்தாலும் ஆயிரம் பொன்"  (ie, An elephant is worth thousand gold coins either it is alive or not);

~ So is the data too while the data life cycle and beyond...

Data 101: Data Aggregator

~ So long ago, the scrips were traded by shouting and hand-signaling on the trade floors before the electronic trading.

~ Aggregator is a software or a web application that consolidates web content from various on-line resources. Really Simple Syndication or shortly RSS feed holds such on-line content in a structured way as the xml format.

~ The Aggregators or RSS Readers can not only pull content but also push content to sites and apps as well as aiding in simple automation.

~ Though couple of decades old, it is still young enough to keep track of blog posts, podcasts, and YouTube Channel uploads and even Telegram too.

~ The popular Data/ Business Intelligence tools like Informatica, Tableau goes with RSS feeds. A typical example is the "Informatica Platform RSS Feeds". 

Data 101: Data Stories

It was a day when x, y was plotted on the computer screen to show a data field in FoxPro admist the blinking green cursor.

From monochrome, the screen keeps changing from colored to digital through CRT, VGA, SVGA, LCD, LED enabling human touch across dual to multi-screens.

Through the rainy decades of DBF, ORA, XLSx, CSV, and TXT files, the days is being over-passed by Snowflake.

While Data being constant, its volume, velocity, variety, variability, veracity, visualization, and value surpasses the thoughts on its usage, usability, and use cases.

Count-less lines of hand-written code overwhelmingly becoming no code over just a few clicks. 

Similar to two-to-two-to-two, it is becoming code-to-code-to-code over machine learning and artificial intelligence.

In between the days of BASIC to Python to GO, there lies analysis, analytics, problem solving, perseverance, communication and what not like networking.