The New Year is a great time to make resolutions, but it’s also a great time to reflect on the previous year. Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017.
On April 28, 2017, Mike Olson, as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We (Mike Olson, Amr Awadallah, Christophe Bisciglia, and Jeff Hammerbacher) started Cloudera because we believe that data makes things that are impossible today, possible tomorrow. There’s more data coming, and there are plenty of impossible things to work on. Our journey is only well begun.”
Sean Anderson provides a tutorial on machine learning. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. The blog finishes by providing concrete examples of how Cloudera customers are delivering strategic functionality like recommendation engines, predictive maintenance, and IoT workflows – all with machine learning at their core.
Any organization that collects data about European Union (EU) citizens is anticipating the General Data Protection Regulation (GDPR), which goes into effect in May of 2018. This informative blog outlines how GDPR affects the practice of data science. First, GDPR imposes limits on data processing and consumer profiling. Second, for organizations that use automated decision-making, GDPR creates a “right to an explanation” for consumers. Third, GDPR holds firms accountable for bias and discrimination in automated decisions. We will continue to provide insight into GDPR as it goes into effect.
Last January we launched Apache Kudu, as part of Cloudera Enterprise 5.10. Kudu makes running real-time analytics easier than ever before and is foundational to a number of successful Cloudera IoT customers. This blog highlights three use cases where real-time makes a real difference: time series data, machine data analytics, and online reporting.
In September, Cloudera founder Mike Olson publically welcomed Claudia Juech to the Cloudera Foundation as its Executive Director. Claudia joined us from the Rockefeller Foundation and has the remit to ensure that data makes impossible things possible in pursuit of a better, more just, safer world. Stayed tuned to the Cloudera Foundation throughout 2018 for more exciting news.
Throughout 2017 some high-profile cyber attacks demonstrated how businesses large and small need to continually improve their security efforts. Mihaela Risca – Industry Marketing Expert at Cloudera, speaks directly to the needs of financial firms and how they must strengthen their cybersecurity posture without affecting the customer experience. She then lays out the many benefits of Apache Spot and Cloudera’s cybersecurity solution.
At the May introduction of Cloudera Altus — our platform-as-a-service offering that focuses on data engineering workloads that run in the cloud, Jennifer Wu wrote on how Cloudera got to this exciting offering. This blog highlights how we achieved a balance between enterprise capabilities and ease-of-use while maintaining interoperability across the Cloudera stack and contributing the new cloud-native characteristics of our core components back upstream.
This blog has everything! If you work in the insurance industry, you will gain a better understanding of how machine learning is used to predict claims, monitor fraud detection, and help detect complex claims. Not sure how machine learning can help your company? Read about the four myths of ML. Lastly, understand the benefits of automated machine learning.
In 2017, Cloudera made significant inroads in Data Science and Machine Learning. One of those inroads included our investment in Fast Forward Labs. In this blog, Mike Olson – Founder and Chief Strategy Officer at Cloudera, describes the reasoning behind the acquisition and how FFL plays a part in implementing machine learning and artificial intelligence at a business level.
In March of last year, Cloudera launched the Cloudera Data Science Workbench (CDSW) to help usher in the age of machine learning. As part of the launch, Matt Brandwein, Senior Director of Products at Cloudera, posted this blog highlighting how CDSW provides data scientists with greater freedom to run the machine learning models that they want, while still maintaining IT compliance with the flexibility of running in the cloud or on-premises.
The big data and machine learning market continue to change at an incredible pace. Last year’s blogs are a great indication of how much change can happen in only a year. Stay tuned to the Cloudera VISION blog in 2018 for more engaging content.