“The beginning is the most important part of the work.” Plato

“Why so much PCR, and so little ridge regression? Ridge and PCR are both shrinkage procedures involving PC’s. The difference is that ridge effectively includes all PC’s and shrinks according to sizes of associated eigenvalues, whereas PCR effectively shrinks some PCs completely to zero (those not included) and doesn’t shrink others at all (those included).” Francis Diebold ( October 4, 2015 )

“The point of the technology is to humanize the machine so we don’t have to mechanize people.” Kristian Hammond ( November 25, 2015 )

“The Theory of Estimation discusses the principles upon which observational data may be used to estimate, or to throw light upon the values of theoretical quantities, not known numerically, which enter into our specification of the causal system operating.” Sir Ronald Fisher ( 1956 )

“Our computers, mobile devices, and web-based services are witnesses to many of our daily decisions.” Daniel Tunkelang

“Current employees who are able to develop an analytics skill set and combine that with their knowledge of the business can be invaluable when moving analytical insights across the ‘last mile’ to decision makers.” Robert Holland ( May 1, 2015 )

“Welcome to Spark model, the beautiful thing about Spark is, it does not restrict us to traditional just Map and reduce operations. It allows us to apply collection like operations on a RDD, giving us another RDD. Since its just a RDD, it can queried via SQL interface, applied machine learning algorithms, and lot of fancy stuff.” Rahul Kavale ( Nov 16, 2014 )

“Today’s enterprise IT teams, and the developers in their ranks, like to fail fast. They don’t have the luxury of spending months developing and testing a new application only to find out it does not or no longer will meet the needs of the business. That’s something they need to find out ASAP, and it requires agility. Big Data applications are no exception. To be successful, organizations need to extend the agile, DevOps model to Big Data and allow data scientists and the developers they work with to get to the answers they need as quickly as possible. A private cloud infrastructure can be the answer for many organizations.” Tom Phelan ( February 10, 2015 )

“We must be careful not to confuse data with the abstractions we use to analyze them.” William James

“The potential for data-informed decision making across all roles and business functions is massive. Data Literacy has been proven to positively impact organizations enterprise value by up to 5 percent, so it is little surprise that this skill-set is becoming highly valued.” Kevin Hanegan ( 2019 )