CloudWick: Success With Data, Machine Learning, and Security

CloudWick is an organization providing the systems and management required to filter and use big data. They achieve this because of their models in data lakes, machine learning, and security, and the models do not require intervention from any developers.

Data lakes are utilized efficiently. CloudWick can architect and migrate workloads to them effortlessly for businesses. The company is currently working with more than 50,000 clusters on Amazon Web Services (AWS). This union gives them the ability to work with others who are experts within AWS. To speed up the analysis, CloudWick packaged a quick process using data lakes from AWS and CloudwickQuick.

Management areas that CloudWick excels in are business solutions, such as fixed billing. A business needs to control cost, and one way to control finances and still get the benefit of data management is to be able to set a budget for the process. Offering business solutions and experience with managing data lakes frees up businesses to focus on what they know best.

Machine learning enables CloudWick to provide true traffic and filter out false movements. It has the power to distinguish noise and context to make a calculated list of highly possible cyber threats. The One OSAS uses net flow and data to notice unusual presences looking for areas to attacks. The One OSAS brings together filters and pattern detection. These can be sent through machine learning and screened for risk while looking for off-mark ranking orders or unusual networks. The CDL security merges events with alerts to create meaningful results.

The security involves sweeping cloud and virtual data across all networks into a modern, intuitive system that is simple. It does not require any high-end training in cloud technology to operate. CloudWick is working to answer the call between organizations, big data, and security while making the process accessible with pricing, usable information, and reasonable for management.

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