The Covid-19 pandemic has resulted in an unprecedented global economic landscape that is dominated by loose monetary policies, low borrowing costs and influx of capital in the equity markets. Against that backdrop, Mergers and Acquisitions (M&A) activity has surged since 2021 as companies are trying to take advantage of the current environment and adapt to the new business realities shaped by the global pandemic.
Developers test their code in chunks as it is written. Error monitoring during the development cycle alerts engineers when conflicts arise and helps them identify the root cause. So, you may wonder then, in the age of DevOps and continuous delivery, is end-to-end testing still needed? Not only is it viable, but it is also essential to validate requirements, configurations, and functionality.
The first step in most analytical workloads is to ingest the data that you need for your analysis into your data warehouse. For geospatial analysis involving point, line, or polygon data, ingesting data can be complex because geospatial data comes in myriad data formats. Two of the most popular geospatial formats are GeoJSON and GeoJSON-NL (newline-delimited geoJSON).