Come take a look at the capability of NewEvol Data Lake
Store and Analyze petabytes of data with our Data Lake.
Our data lake architecture is highly capable to store vast amounts of unpolished data in its original format. This data can be in an unorganized, semi-organized, and organized format. In this data lake platform, we collect and analyze petabytes of data with a faster processing time. The Data Lake solutions can retain your data without any limitations on volume and will makes it easy to access the data for training or threat hunting purposes.
Data Lake Features
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Ingest Data in Large Volume
NewEvol Data Lake is a Hadoop based architecture. It doesn’t have any limitations on data. By retaining historical data in a distributed file system, this is an economical way to perform analytics without any concerns about data volume.
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Data Enhancement form Centralized Location
This platform is integrated with a pre-packaged and extensive data ingestion pipeline to perform enhancement across multiple sources. Now perform analysis with a large amount of data from a centralized location.
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Logically Isolated, but Physically Integrated
With on-premise security, your servers and data are physically located in your data center and multi-tenancy helps to manage multi-domain services into one platform.
Benefits
Our Data Lake architecture comes with multiple benefits for enterprises. Unlike traditional data lakes, NewEvol provides analytics embedded with data lakes.
Cluster-based Architecture
NewEvol is built on a Hadoop-based structure. This makes data lake expansion easier as data increases, you just need to add multiple nodes as per data your requirements.
Security Compliance and Data Privacy
Security compliance requires data privacy and regulatory controls, along with the support for each industry’ standard security specifications and audit reporting requirements. As a data lake provider, we offer newly designed and built advance controls, reports, and other capabilities. These features help you to cover all the significant authorities including SOX, GDPR, HIPAA, PCI DSS, ISO 27001, and FISMA.
Data Visualization
Data Lake platform provides data visualizations using graphical elements in a dashboard that can be easily exported to analyze massive amounts of information in an innovative data format. You can drag and drop your required elements to get customized reports. It is an accessible way to see and understand patterns in your data.
Ingest and Analyze All Types of Data
One of the key components of a successful security analytics program is to have the ability to work with many different types of data to glean valuable insights. There are a large variety of data types in the IT landscape, from telemetry to contextual data, and different formats such as delimited, JSON, XML, PCAP, Syslog, and more. To ensure accurate analysis, the NewEvol Data Lake supports all these varieties of data.
Many organizations are now leveraging Big Data to help in building machine learning-based threat detection mechanisms. Our Data Lake supports easy access to data and makes the data available using its standard modules to expand real-time analytics for customers.
Data Lake Platform with Central Data Location for Multipurpose Use
Having a successful machine learning-based security analytics platform requires building a common data repository, rather than collecting and storing multiple copies of the same data in different places. The Data Lake Security captures endpoint data by multiple feeds and stores it in one centralized data center.
With the NewEvol Data Lake, you can achieve high scalability data. In this platform, data is compressed and stored in a Distributed File System so that it can be retained for years.
FaQ’s
How to manage Subjects?
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How to manage Subjects?
Proin imperdiet velit tellus, sed condimentum sem tincidunt sed. Nunc rutrum tempor lacus, at fermentum augue ultrices egestas.
How to manage Subjects?
Proin imperdiet velit tellus, sed condimentum sem tincidunt sed. Nunc rutrum tempor lacus, at fermentum augue ultrices egestas.
How to manage Subjects?
Proin imperdiet velit tellus, sed condimentum sem tincidunt sed. Nunc rutrum tempor lacus, at fermentum augue ultrices egestas.