The success of your data science project is only as good as the data it uses. But, as companies collect soiled, inconsistently formatted data from different sources and in huge amounts, aka big data, flaws creep into the final algorithm and simply sabotage all your ML efforts. Big Data engineers are the ones responsible for all big data analytics groundwork. They handle facts that data scientists use later to turn into AI models, find and manage data sources, and establish your organization’s data management. Structured data is useful data, so managing huge
volumes of data starts with designing and creating a Data Warehouse or modernizing your legacy DWH to fit current technological standards and scale, increase performance, and reduce costs. To help you easily access all the data you need, we create data lakes that will nourish your data-driven efforts. And to finally process all this data, we build applications using technologies like Hadoop or Spark to process data streams in real-time. Data Engineers at Datics.AI will find, organize, and store big data for your project, either as a part of your own IT department or as an extended team.