In 2016, organizations faced significant challenges in managing Big Data effectively. Security of large volumes of information and proper data ingestion for end-user purposes were major concerns. Data security issues resulted from the absence of advanced measures like firewalls and antivirus software. Unethical information mining led to privacy breaches. Non-relational databases (NoSQL) posed difficulties for security solutions. Lack of access controls and accurate validation hindered data handling.
Big Data's size made monitoring and tracking origin difficult. Organizations struggled with manual data processes, impacting operational efficiency. Overall, the adoption of smart solutions required significant effort, proper data accumulation, and robust security measures to prevent hold-backs and data breaches.