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 By the time the data reaches the visualization phase, either the data becomes outdated or the technology becomes outdated.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. Metadata contains key information about the underlying data. Modak’s Nabu™ metaprogramming approach leverages the metadata to ingest, curate and unify the data sets. Metaprogramming basically generates code through metadata, which Modak Nabu ™ captures from source and destination, save into technical, operational and business metadata catalogues.
One of the benefits of metaprogramming is the increase in 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.