Sign up for our newsletter and get the latest big data news and analysis.

TOP 10 insideBIGDATA Articles for July 2020

In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. Over the past several months, we’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels.

Book Review: Deep Learning with TensorFlow 2 and Keras

If you’re a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It’s pretty much an all-inclusive resource that includes all the popular methodologies upon which deep learning depends: CNNs, RNNs, RL, GANs, and much more. The glue that makes it all work is represented by the two most popular frameworks for deep learning pratcitioners, TensorFlow and Keras.

Infographic: Data Engineering Evolved

Ascend.io, the data engineering company, announced results from a new research study about the work conditions of data scientists, data engineers, and enterprise architects in the U.S. Conducted in June 2020, findings from over 300 professionals reveal key insights on their teams’ current workload, productivity bottlenecks, and perspectives on automation and low-code technologies.

“Above the Trend Line” – Your Industry Rumor Central for 7/29/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

How to Launch Your Data Science Career

Are you interested in getting into the field of data science? We don’t blame you. Data science is an exciting field that’s constantly changing and developing, which gives data scientists’ work endless potential. Here are six tips for ways that you can launch your data science career.

The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization

In a new white paper recently released, “The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization”, 84.51° explains how this innovative data science has become embedded- specifically in three of its missions: Customer Intelligence, Space Strategy and Supply Chain Optimization.

Book Review: Bayesian Statistics the Fun Way by Will Kurt

“Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks,” by Will Kurt (2019 No Starch Press) is an excellent introduction to subjects critical to all data scientists. Will Kurt, in fact, is a data scientist! I always advise my data science classes at UCLA to engage these important subjects in order to obtain a well-rounded exposure to disciplines upon which data science is based. I’ve already added this title to my official bibliography of learning resources given to my students.

“Above the Trend Line” – Your Industry Rumor Central for 7/17/2020

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Google Cloud Announces BigQuery Omni for Multi-cloud Analytics

A recent Gartner research survey on cloud adoption revealed that more than 80% of respondents using the public cloud were using more than one Cloud Service Provider (CSP)1. To address this multi-cloud reality, Google Cloud has announced BigQuery Omni, a multi-cloud analytics solution that enables customers to bring the power of BigQuery to data stored in Google Cloud, Amazon Web Services (AWS) and Azure (coming soon).