Big Data Challenges Enterprises are Facing in 2021
Here are six challenges you may face when implementing big data analyses:
Data Strategy
The amount of data that needs organizing, analyzing, and integrating is incomprehensible.
Data Sources
It is crucial to integrate data from accurate and timely sources, as data integration plays an important role in all future analyses.
Data Growth
Datasets are constantly growing and expanding, leading to costly problems for enterprises that want to make use of them.
Data Validation
Data governance is the organizing, usability, security, and accuracy of data – a complex process which uses different technologies and policies to arrive at the best possible outcomes.
Real-Time Insights
Datasets are useless if they can’t provide insights in real time.
Data Security
Security is the most costly challenge for enterprises, especially when datasets contain sensitive data such as personal information.
Get the expertise and hardware you need to move forward into big data.
Liquid Web has Database Hosting and Server Cluster Hosting with 24/7/365 monitoring, support, and security that can help scaling enterprises manage their large customer datasets.
Server Clusters: https://www.liquidweb.com/products/server-clusters/
Database Hosting: https://www.liquidweb.com/enterprise-hosting/high-availability-database-hosting/
Duration: 00:01:00
Publisher: Liquid Web
You can watch this video also at the source.
