[unable to retrieve full-text content]Learn how Vertica in-database machine learning supports the entire predictive analytics process with, with MPP, SQL execution, R, Python, Java and more – get the whitepaper.
Original Post: Unlock Machine Learning for the New Speed and Scale of Business
[unable to retrieve full-text content]Also Big Data: Main Developments in 2017 and Key Trends in 2018; Exclusive: My interview with Rich Sutton, the Father of Reinforcement Learning; Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras.
Original Post: KDnuggets™ News 17:n46, Dec 6: Why You Should Forget for-loop for Data Science Code; Reinforcement Learning: Exclusive Interview with Rich Sutton; Big Data Key Trends
[unable to retrieve full-text content]As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Big Data experts as to the most important developments of 2017 and their 2018 key trend predictions.
Original Post: Big Data: Main Developments in 2017 and Key Trends in 2018
[unable to retrieve full-text content]An overview and a small tutorial showing how to analyze a dataset using Apache Spark, graphframes, and Java.
Original Post: Graph Analytics Using Big Data
[unable to retrieve full-text content]A comprehensive survey conducted by iDatalabs shows us the trends of the future of these two Data Science technologies.
Original Post: Did Spark Really Kill Hadoop?
[unable to retrieve full-text content]PySpark is a Spark Python API that exposes the Spark programming model to Python – With it, you can speed up analytic applications. With Spark, you can get started with big data processing, as it has built-in modules for streaming, SQL, machine learning and graph processing.
Original Post: PySpark SQL Cheat Sheet: Big Data in Python
[unable to retrieve full-text content]Join us at TDWI Orlando, Dec 3-8, where we bring the future of data and analytics to life. KDnuggets Readers Save 20% when you register by November 17 with priority code KDSUN.
Original Post: Are You Ready for the Future of Data?
[unable to retrieve full-text content]There is a big demand of quick insights or real time analytics from business side. But traditional BI or data warehouse architectures lack this realtime functionality. Here we discuss realtime analytics architecture in details.
Original Post: Actionable Insights: Obliterating BI, Data Warehousing as We Know It
[unable to retrieve full-text content]A new open source Apache Hadoop ecosystem project, Apache Kudu completes Hadoop’s storage layer to enable fast analytics on fast data.
Original Post: Updates & Upserts in Hadoop Ecosystem with Apache Kudu
[unable to retrieve full-text content]Seeking a Big Data Solutions Architect, to work in small agile teams to deliver innovative solutions with the latest in modern architecture across the US, and participate and contribute to industry thought leadership by attending conferences, speaking at events, blogging etc.
Original Post: Caserta: Big Data Solutions Architects