Analytics

Cloud, big data analytics & AI are driving change in Finance

How Cloud Computing is evolving alongside Big Data, Analytics, and AI in Financial Services. New technology like Artificial Intelligence (AI), Cloud Computing, big data, and prescriptive analytics are changing the way the Financial Services sector does business. With evolving tech comes both new opportunities as well as different risks, and companies within the space must innovate and embrace new ideas as shifting business conditions and changing consumer preferences dictate new norms.

Getting Started with Cloudera Data Engineering on CDP

In this video we go over the Cloudera Data Engineering Experience, a new way for data engineers to easily manage spark jobs in a production environment. We'll go over a few of the key features as well as a quick demo on how to launch your first simple python ETL spark job. You'll see how to schedule as well as analyze a job once the run is complete.

Accelerating my COVID-19 DL project - User Story

The recent global pandemic caused by the COVID-19 virus has threatened the sanctity of our humanity and the well-being of our societies at large. Similar to times of war, the pandemic has also given us the opportunity to appreciate the things we take for granted such as health workers, food suppliers, drivers, grocery store clerks and many others who are in the frontlines keeping us safe at this difficult time, Salute!

How Data Exchanges Enable Secure Data Collaboration

In a global economy, real-time data analysis is closely related to business success. Without data-driven insights, organizations find it challenging to remain competitive, improve company performance, and deliver strong user experiences, regardless of their industry. To match the pace of business, companies require transparent, data-driven relationships.

Snowflake Helps Finnair Improve Customer Experience with Cloud Data Analytics

Coronavirus has impacted the travel industry, but as it adapts, there is one factor airlines have always worked hard to minimize: delayed flights. Arriving late or missing a connection can severely impact the customer experience, which is why airlines work hard to maintain high rates of on-time performance (OTP). To that end, pilots may have to use extra fuel to make up for a delayed departure or to reach a destination early, even if it means circling the airport before landing.