Dig.Data.Deep

In the last few years, more data have been generated than ever in our history. Data is now the new gold mine but for organizations that can leverage its full potential. Data science skills are limited and not many organizations have access to skilled persons. Many of those who have access to skilled staff are also struggling to utilize their skills properly. Our experts can help you define the right big data strategy to be successful, such as selection of right big data technologies, collection of data statistically to employ machine learning, effective utilization of data scientists, etc.

Machine learning is at the heart of data science. Rapidly evolving landscape of machine learning has given rise to a sub field called deep learning which has made unimaginable things possible today.  However machine learning algorithms are complicated. Many modern tools hide this complexity and provide easy to use interface to deploy machine learning but still proper usage of these algorithms require one to understand their parameters including their advantages and disadvantages. Our experts are not only well versed in tools but also in algorithms and can help organizations in solving complex research problems, finding out use cases of machine learning in their business, and deploying fundamental  machine learning applications.

Big data and machine learning skills are lacking and there is already a huge shortage of skilled people in this area. Students graduating from many local and online certificate programs  also lack the expertise of how to build scalable big data applications. We provide workshops that provide training on how to architect large scale big data applications and deploy complex big data solutions. For example, learn how to ingest data in real time on Kafka, parse it using Spark, store it on HDFS for machine learning  analytics through Spark and deliver instantaneous results to clients through NoSQL databases. Learn how to engineer big data system and how complex mathematical algorithms work.