As a member of Cloudera’s Partner Engineering team, I evaluate hardware and cloud computing platforms offered by commercial partners who want to certify their products for use with Cloudera software. One of my primary goals is to make sure that these platforms provide a stable and well-performing base upon which our products will run, a state of operation that a wide variety of customers performing an even wider variety of tasks can appreciate.
Each year in early November, my inbox fills up with people asking advice about certification. Some are reflecting on their careers and looking to move on or move up; others have given themselves or their managers the goal of getting certified this year. They awake one morning in early November and realize the clock is ticking.
The first thing they ask for is a discount, of course. Beyond that, they want to know what a certification is going to do for them more generally,
Azure Data Lake Store (ADLS) is a highly scalable cloud-based data store that is designed for collecting, storing and analyzing large amounts of data, and is ideal for enterprise-grade applications. Data can originate from almost any source, such as Internet applications and mobile devices; it is stored securely and durably, while being highly available in any geographic region. ADLS is performance-tuned for big data analytics and can be easily accessed from many components of the Apache Hadoop ecosystem,