Cloudwick which is the biggest Data Lake organization just announced the CDL’s general availability. The CDL is the current security platform for the company for the data scientist, security vendors, and SOC analyst. The CDL is used to create and run an advanced machine and analytic learning security analytics and algorithms.
The Cloudwick Company’s co-founder Mark Schreiber said that gathering, keeping, manufacturing, and evaluating 100s of billions of packets, events, flows, logs, and metadata is not technically or economically feasible with current SIEMs. He says that the company has partnered with Intel to identify the next generations SIEM’s requirements that will support the capabilities of big data necessary for complex machine and analytics learning dealer machines. According to Schreiber, the company has spent almost three years of engineering and development to get to GA. The organization is presently happy to work with the world’s leading security dealers to change enterprise security.
The Cloudwick Data Lake is the largest data security company that uses HBase, Solr, Spark, and Apache Hadoop with other proprietary manager and CDL Capture software to bring about the first security platform responsible for lowering the security cost by 50 % above and others.
Cloudwick has experienced a high demand for predictive analytics and machine learning services rise considerably in the last months of 2017. The organization reacted by enlarging its personnel to take care of the growing demand. The company claims that by 2022 it would have created more than 2.3 million jobs. The engineers for machine learning are at the highest point of the job pyramid. In addition to this, the organization has announced a forecast of job increase of 166 percent. The jobs increase will also come with the highest salaries.
The company experienced strong demand in 2017 which it was not able to control. Because of inadequate qualified personnel. Moreover, Cloudwick did not find enough specialized contractors to hire. According to the Chief Executive Officer, Mani Chhabra, the company has decided to internally produce its machine learning engineers because of the shortage of experienced and trained professionals in the market. The company is currently running an internship program as part of the programs to create its engineers.