Just like oil and gold, data has become a valuable digital asset for businesses across the globe. As digital innovation continues to reshape industries, Delloitte foresees that data collection and analysis will become the basis of business models and service offerings by 2030. However, managing voluminous data and extracting valuable insights from it, is an enormous task.
These are the typical data-related problems organizations face:
- Siloed and poor-quality data
- Diversity in data types, formats
- Shortage of skilled professionals
- Redundant data
- Data unavailability
- No SOP to manage and handle increasing volumes of data
- Lack of data storage space
- Huge data management cost
Data lake- A one-stop solution for all data-related problems:
NewEvol’s data lake solutions can cater to all your data-related needs. Data comes into various formats- structured, unstructured, organized, unorganized, internal, or external. Data lake architecture can store all types of unpolished data.
A data lake is not just about storing petabytes of data, it can also analyze it with commendably quick processing time. Just like a lake is capable of storing vast amounts of water, a data lake is designed to store limitless volumes of data that can be accessed easily in a split of a second.
How does data lake help in managing data?
Enabling Limitless data ingestion:
NewEvol’s data lake platform has been developed on Hadoop-based architecture that allows limitless data ingestion into the lake. It can analyze huge volumes of data using the distributed file system.
Creating a central location for data:
It becomes easier to use and analyze data when it is stored in a central location. NeweEvol’s data lake gets easily integrated with a pre-packaged and extensive data ingestion pipeline. This way, it creates a centralized data center for data coming from multiple sources.
Securing the data from theft or attack:
A data lake, being a central repository of valuable data may be vulnerable to cyberattacks or data theft. NewEvol data lake cybersecurity platform provides multiple security layers to the stored data to ensure that the data is accessed only by genuine users for a genuine purpose.
What sets NewEvol data lake apart from a traditional data lake?
Traditional data lake collects and stores multiple copies of the same data in different locations. NewEvol’s data lake removes data redundancy and duplication by employing machine learning-based security analytics to build a common data repository. Therefore, NewEvol’s data lake solutions are more refined and it allows faster data processes and access.