Mladen Jovanovski
Mladen Jovanovski is a Client Technical Specialist in IBM focused on both traditional data processing technologies and leveraging potential of new Big Data processing technologies. His main areas of expertise are overall solution architecture, data integration, storing data and subsequent data analysis in both on-premise and Cloud environments.
Master Class: IBM Watson Data platform elements
Data Science Experience, Data Catalogue, Data Pipelines
Data in the cloud – IBM Watson Data Platform – OS for Data Scientists
IBM Watson Data Platformis an integrated platform of tools, services and data that helps companies accelerate their shift to become data-driven organizations. It is the IBM public cloud foundation designed to support the data and analytics vision of whole enterprises, delivering a fully integrated platform that sustains both analytical investigations and putting insights into active use in production at any scale. It delivers the user experiences that amplify the ability of every data professional to execute on that vision, allowing teams such as data scientists, developers and business analysts to work together across different languages and data models.
IBM Watson Data Platform enables enterprises to:
- Connect to data of any kind, stored or streaming, cloud and on-premise, human created or IoT generated;
- Visualize, prepare and cleanse that data for use;
- Persist it in the most appropriate and cost effective scalable data stores (Object, noSQL, warehouse or transactional database) and catalog it for everyone to find and use;
- Analyze it in depth using projects, notebooks, machine learning models and more;
- Deploy the insights as compelling visualizations they can make decisions on, or baking them into existing or new applications, processes and more;