Amlgo Labs Blog is a step towards our vision to share knowledge and experiences, Amlgoites accept every challenge very enthusiastically. We do experiments, we fail but we learn and build complex solutions to help our clients solve their problems in Data, Analytics, Prediction, Forecasting, Reporting, Designing and Development area. During this process we enjoy immense learning everyday and we have decided to share our thoughts, learnings, experiments and experiences so that we don't work in silos and contribute the best of our knowledge towards community and learn more by views and reviews. This website is maintained and brough to you by Amlgo Labs Professionals . Our Strong Basics - 1) KISS (Keep It Simple and Straightforward) : We believe most of the problems can be solved by keeping things simple and straight. This is the learning we had in past, sometimes we try to solve technical problems using high end algorithms and complex codes but this results into complications.
Data has always been an integral part of human life. With the evaluation of the former, the latter has also evolved. Data Lake is like a large container which is very similar to real lakes and rivers. Just like in a lake you have multiple tributaries coming in, a data lake has structured data, unstructured data, and machine-to-machine data logs flowing through in real-time. Unlike a hierarchal Data warehouse where data is stored in Files and Folders, Data Lake has a flat architecture. Every data element in a Data Lake is given a unique identifier and tagged with a set of metadata information. Why Data Lake? ● with the increase in data volume, data quality, and metadata, the quality of Decision analyses also increases. As it covers all the abnormalities or outliers. ● Data Lake offers business Insights ● It gives 360 degrees view of data and makes analysis more robust. ● Build Industry interface ● Increased Governance of Operations ● Revenue Enhancement (lead, prospect,