in a variety of settings to build systems that collect, manage and convert raw data into usable information for data
scientists and business analysts to interpret.. The ultimate goal is to make data accessible so that organizations can use
it to evaluate and optimize their performance.. data engineers are the ones that prepare the data from raw data which is
basically unformatted and it may include human errors or the machine errors.. data engineers help make data more
useful and accessible for consumers of data. no relational database knowledge of EtL systems knowledge of data
warehousing tools such as Apache, Kafka, Spark and hadoop add a lot of weightage to your skill set. big data is not
something data is exist now, but all of sudden people in lot of organizations started. Discussing a lot of discussions are
going on on the big data. data engineering is in good demands. Right now absolutely well thank you so much suyash for
answering all those questions of mine in a great detail.