ພາບລວມ – To put it simply, silos are what prevent an organization from achieving its broader objectives, and more than often, at least cause delay in achieving them. Pretty much all sorts of organizations, be it big or small, have…
Impact of Automation in Data Science and Machine Learning
ພາບລວມ – In the age of digital transformation, predictive and prescriptive analytics are key to business success. ເປັນຜົນມາຈາກ, organizations are trying to extract the extreme insight from the data(specifically Bigdata).To accomplish the task of value extraction from Bigdata,…
ChatGPT and Generative AI
ChatGPT and Generative AI Overview – ChatGPT is the new revolution in technology world. It is based on Generative AI model. Generative AI is a combination of AI algorithms to create new content based on the user input. The output…
Revisit – Hadoop 2.0 (YARN) Framework
Introduction Since the time when Big Data was introduced it has gone through multiple phases of evolution. Hadoop was introduced in 2005 with some initial features such as the MapReduce processing engine which allowed large scale data processing workloads distributed…
Important Docker terms to learn
Overview Container technology is widely used nowadays. Docker is one of the most popular container platform. In this article, we will try to explore some of the important Docker terms. Docker terms Docker terms are very important to learn. With…
Blockchain Can Be Hacked: A Hack That Changed the Future
Overview – Hacks happen. Whether it is your bank account getting hacked, or something more elaborate, there is always a chance that the thing you are trusting will be compromised. This article breaks down how the future of cybersecurity may…
Inside NoSQL – Not only SQL
Overview – NoSQL stands for Not only SQL, which means a database with some extended features of RDBMS. Today databases like NoSQL are gaining popularity in the enterprise. One of the most known examples of NoSQL database is MongoDB. Its…
Exploring Big Data trends in the coming years
Author: Kaushik Pal Overview – Big data is going to come in a big way in the coming years. It will also have a significant impact in the analytics world. Big data technology and platform will have a lot of…
Four levels of Artificial Intelligence (AI) – Achieved and Theoretical
Author – Kaushik Pal Overview Artificial intelligence (AI) and machine learning (ML) brings a revolution in computer science in the age of Big data. The data is the new fuel for business. And, extracting the insight from this data is…
How Blockchain Technology Helps Protect Business Data?
ພາບລວມ: Blockchain technology plays a significant role in cryptocurrency. Although it has been around for some time, it grew more popular when bitcoin and other cryptocurrencies were at their peak. In the cryptocurrency industry, blockchain technology serves as a security to…
What is Apache Kudu?
ພາບລວມ : Kudu is the new open source project which provides updateable storage. It is a complement to HDFS/HBase, which provides sequential and read-only storage. Kudu is more suitable for fast analytics on fast data, which is the demand of…
6 tech trends you need to remember in 2022
ພາບລວມ: While you might be fascinated by AI yet couldn’t care much for blockchain, both can be applicable to making your business fit and future-ready going forward. Beyond the peripheral and relatively minor apps and other small innovations companies might…
Big data and AI need each other
ພາບລວມ: To anyone applying AI in any form, the response to the heading above might be “Duh!” That’s an obvious statement to those engrossed at the coalface, but for many others (especially on the client side), they have yet to…