Akash Choudhury

Climate change isn't a science term but really and humbly the human issue touching everything: what we eat to what we breathe. SDG 13: Climate Action calls for urgent action for this global crisis at its root cause: our earth is warming at an unprecedented rate due to human activities, primarily from burning fossil fuels and deforestation. But why should we care? Climate change is bringing extremely severe consequences already at the cost of millions. Along with a scorching heatwave, or hurricanes which destroy everything within their path, rising temperatures include extreme weather. This one is about survival, rather than just an inconvenience this is where coast cities may be sinking; crop failure; and air quality starts deteriorating and becomes some health risk, especially amongst the most vulnerable. It leaves our generations an uninhabitable world if these changes are allowed. So, what is the way forward? Climate change is not a subject that needs grand gestures. It begins w...

What if two customers, waiting in the line of a busy bank, withdraw simultaneously from the same account? Without proper transaction control, chaos would break loose-down to overdrafts and incorrect balances resulting in irritated customers. DBMS and their ACID properties work their magic on your data, keeping it safe and reliable. A transaction, essentially, is a tiny work that should follow the "all or nothing" rule: that is, either it goes through, or nothing is done at all. Four principles by the acronym ACID are what the DBMS relies on to manage this effectively. Atomicity: Atomicity can be seen as a light switch. Once it is turned on, the light is either on or off. In a transaction, all operations within it must be either fully complete or not happen at all. This does not allow partial updates that could lead to inconsistencies. Consistency: The database must be correct both before and after executing every transaction. Suppose it is a public library that rents out a bo...

 Two words dominated the conversation concerning data strategy in this data-driven world: data analytics and data analysis. They sound similar or even overlap at some points; however, they function quite differently. So what does each of them do and why does it make any difference? Data Analytics is the big picture. It means the whole process of gathering, transforming, and processing raw data in order to derive more pervasive insight. This is a treasure hunt where data scientists go through mountains of data, just for the diamonds-invaluable insights for major business strategies. It's all about analytics-the big questions: what trends are emerging, and where should we pay further attention? It is an expansive approach in a way, using diversified tools-from cleaning and organizing data to all the sophisticated algorithms of machine learning-to support strategic decisions. Data Analysis is much more focused and targeted. This is the statistical microscope where prepared, formatted ...

Ever wonder how separate developers in other parts of the world could contribute to the same project simultaneously without stepping on each other's toes? This becomes possible with Git and GitHub, shifting the entire paradigm through which code is managed and collaborated. Absolutely fundamental to modern software development, these tools make workflows more streamlined and team efforts more effective. Git is a strong version control system, enabling developers to work in parallel by using "branches" for new features or fixes. Changes are only merged when ready - they might not commit for fear of conflict, and things can go wrong - the teams can easily revert to a previous version if disaster strikes. Tracking all such changes also keeps the development process both clear and error-free. This raises the stakes for GitHub, giving developers a collaborative platform where they can share their code and help out on projects from anywhere in the world. This is why GitHub is s...

 As AI-powered search engines quietly set about changing the way we seek answers, they're exerting pressure on one of our most prized resources: groundwater. Hulking data centers powering those AI systems gobble enormous amounts of electricity and water for cooling. They often suck very significant quantities of water from the local supply. These data centers consume vital groundwater used for agriculture, ecosystems, and drinking water in regions already water-scarce and prone to drought conditions such as California and Arizona. Higher complexity in AI models implies higher water usage demands, exacerbating the problem. In this respect, many tech companies already think practically by adopting air cooling and closed-loop water systems with a view toward limiting their ecological footprint. Even decentralized computing, or edge computing, would contribute to lowering loads at data centers as well as reduce the consumption of water. While AI search engines drive innovation, they co...

From coding to showcase passion, build expertise, contribute to positive community contributions, and be that developer: it is much more than writing lines of code. What distinguishes a person in a overcrowded space? That answer lies within a read of the key strategy to differentiate in this article. Specialize & diversify: Choose your niche. Can be AI or blockchain or mobile app development. The difference will come from specializing in a particular domain. However, for the sake of flexibility and versatility, you have to diversify your set of skills. Contributing to open-source is valuable because it demonstrates passion about the problems of life, but also because one has the ability to work with other developers. This means that your contribution is visible to your employers and peers. Personal Branding: Write a blog, create tutorials, and speak at events about what you know. While doing this, it is not just building the personal brand but also becoming a thought leader in the ...

Have you ever been discouraged to participate in a hackathon? Many people view them as mere competitions with only a few lucky winners chosen. But I'm here to dispel the thought for you-by demonstrating ways in which hackathons may provide significant benefits that stretch far beyond the winning of a trophy. Let's break down the real value of participating in a hackathon: Innovation: Hackathons push you to the backbench of innovation-thinking design solutions to real-life problems within a short space of time. Innovation and problem-solving culture are strengthened. Learning: You get all kinds of technical skills that would not be learned in a classroom. Be it coding, designing, or project management, you do get tremendous hands-on learning experience. Networking: Connect with industry professionals, potential co-founders, and like-minded thinkers. These people can be great assets in your career. Building: Develop projects from scratch in a short period, gaining experience ...

Have you ever listened to the word decentralization? And wondered what that means? Why it is important? So, let's start from the very beginning: what is decentralization? For simple words it is the process through which activities of an organization, especially concerning planning and decision making, get distributed or delegated away from a central, authoritative location or group and given to smaller factions within it. And it allows more autonomy as well as local control within an organization or government. Why decentralization is important?  Decentralization in management is actually required for enhancement of organization efficiency and promote the growth of the organization. Here are the primary reasons why it is important: Better Control: In decentralized management, performance of every level can be evaluated and departments are responsible for their outcomes. By this goals of organizations achieved and contribution of each department can be calculated. Quick decision mak...