New knowledge flavors require new methods of storing them. Study all it’s essential to know in regards to the Parquet file format
With the quantities of knowledge rising exponentially in the previous couple of years, one of many greatest challenges turned discovering probably the most optimum method to retailer varied knowledge flavors. In contrast to within the (not thus far) previous, when relational databases had been thought of the one method to go, organizations now wish to carry out evaluation over uncooked knowledge — consider social media sentiment evaluation, audio/video information, and so forth — which normally couldn’t be saved in a conventional (relational) method, or storing them in a conventional method would require important time and effort, which improve the general time-for-analysis.
One other problem was to one way or the other keep on with a conventional method to have knowledge saved in a structured method, however with out the need to design complicated and time-consuming ETL workloads to maneuver this knowledge into the enterprise knowledge warehouse. Moreover, what if half of the info professionals in your group are proficient with, let’s say, Python (knowledge scientists, knowledge engineers), and the opposite half (knowledge engineers, knowledge analysts) with SQL? Would you insist that “Pythonists” be taught SQL? Or, vice-versa?