Modak uses Metaprogramming approach to generate code through metadata, which is stored in a metadata respository. This approach significantly accelerates data and analytics processes.
Using Metaprogramming approach, Modak has gained a significant advantage in Data Analytics industry
Modak’s Metaprogramming approach is a clever technique which runs blocks of code on billions of rows and records at an instance. Modak’s Metaprogramming technique is capable enough to read, generate, analyze or transform other programs, and even modify itself while running.
According to Gartner, more than 70% of big data projects have failed due to the large amount of time spent on data preparation and curation. Most businesses spend more time in generating insights using machine learning and automation. By the time the data reaches the visualization phase, either the data becomes outdated or the technology becomes outdated. At Modak, our metaprogramming approach focuses mainly on the data preparation phase. The metaprogramming approach drastically accelerates the data preparation and curation processes.
Metadata is essential for data preparation in any big data platform. It contains key information about the data. Modak's nabu metaprogramming approach leverages the metadata to ingest, curate and unify the data sets. Metaprogramming basically generates code through metadata, which we capture from the source and destination, save into technical, operational and business metadata catalogues.
One of the benefits of metaprogramming is it increases the productivity of developers once they get past the convention and configuration phases. In metaprogramming, metadata is used in data ingestion, cascading templates and creating entities which is helpful for data visualization. Through meta programming approach, we follow a complete automated end-to-end process right from source to ingestion & curation, so that users can utilize optimized data for their process.