Dear CXO – When Will What Happened to Delta Happen to You?

Feed: Blog Post – Corporate – DataStax Author: Robin Schumacher I missed it by just a few hours. I tend to always fly Delta because they have the best options for travel given where I live. I landed pretty late in San Jose on Sunday for some training our team is running, and got in under the wire just before Delta suffered a power outage in its Atlanta headquarters that brought its global business to a halt. The downtime that originated in their Atlanta location affected every site in which Delta does business around the world. Such an event puts ... Read More
Middle of nowhere? Stay 100% connected with DSE.

Feed: Blog Post – Corporate – DataStax Author: Brian Hess Apache Cassandra™ is unique in its abilities to support multiple data centers and keep data synchronized between geographic locations. In addition, Cassandra’s multi-data center support enables workload isolation, enabling both transactional and analytic workloads on the same live data. However, there are limits to Cassandra’s built-in capabilities for both operational and application-specific use cases. Enter DataStax Enterprise Advanced Replication, a new offering in the DataStax Enterprise platform that enables new applications, new data flows, and new operational setups. DataStax Enterprise Advanced Replication The new Advanced Replication feature in DataStax Enterprise 5.0 ... Read More
A Quick Primer on Graph for RDBMS Professionals

Feed: Blog Post – Corporate – DataStax Author: Robin Schumacher Like me, I’m sure you’ve come to the world of NoSQL from relational database management systems (RDBMS) such as Oracle, MySQL, SQL Server, etc. And like what happened to me a couple of years ago, maybe you’ve just recently seen that a type of NoSQL database – graph – has been increasing in popularity and getting lots of attention lately. Why is graph gaining ground right now? If you’ve read anything about graph databases, you know they manage and uncover the value in relationships between data objects better than any ... Read More
Flexible Authentication & Authorization Controls with DataStax Enterprise 5.0

Feed: Blog Post – Corporate – DataStax Author: Matt Kennedy DataStax Enterprise 5.0 introduces two major new database security features ‒ Role-Based Access Control (RBAC) and DSE Unified Authentication. Combined, these features allow for flexible authentication and authorization controls to support a variety of database client types, and database consumers. This is accomplished without sacrificing compatibility for legacy client types. What is Role Based Access Control? Role Based Access Control, more commonly known as RBAC, has been an inherent capability of database security features for some time, although RBAC is a relatively new feature in the Cassandra ecosystem. RBAC was ... Read More
DataStax takes home two major awards at the 2016 Microsoft Worldwide Partner Conference

Feed: Blog Post – Corporate – DataStax Author: Lynn Walitsch What a week it was for the DataStax team at the Microsoft Worldwide Partner Conference (WPC) held in Toronto! The conference ran from July 10 – 14 and brought together 15,000+ attendees from around the globe for a week of networking and learning—all with the goal of increasing partner profitability and accelerating business growth. The conference was completely sold out for the first time – a testament to the market opportunities created by partnering with the largest enterprise software vendor and cloud computing company in the world. DataStax walked away ... Read More
Data Center Cost Efficiency with DSE Tiered Storage

Feed: Blog Post – Corporate – DataStax Author: Matt Kennedy Two factors critical to the success of any Cassandra / DataStax Enterprise implementation are: (1) a well architected data model; (2) fast storage. While the first challenge is typically solved on a per-application basis, the second is somewhat more general and straightforward to address. Using locally attached solid-state drive (SSD) storage on dense conventional Linux servers is a good first step. SSDs have quickly become the de-facto standard in database applications due to the sheer power of the cost per input/output operation (IOP) compared to legacy mechanical hard drives (HDDs). A ... Read More
Learning from Imbalanced Classes – Silicon Valley Data Science

Feed: Planet big data Author: Meg Blanchette August 25th, 2016 If you’re fresh from a machine learning course, chances are most of the datasets you used were fairly easy. Among other things, when you built classifiers, the example classes were balanced, meaning there were approximately the same number of examples of each class. Instructors usually employ cleaned up datasets so as to concentrate on teaching specific algorithms or techniques without getting distracted by other issues. Usually you’re shown examples like the figure below in two dimensions, with points representing examples and different colors (or shapes) of the points representing the ... Read More
[INFOGRAPHIC] Creating A Data-Driven Customer Loyalty Strategy
![[INFOGRAPHIC] Creating A Data-Driven Customer Loyalty Strategy](http://www.dataarchitect.cloud/wp-content/uploads/2016/08/And-the-winners-are...-The-Data-Lab-45-300x122.jpg)
Feed: Planet big data Author: Luke Turnbull Here's a great visual summary overview of what you need to start a customer loyalty programme optimised: the questions to ask before getting started and an overview of all the possible data sources to consider ... Read More
R with Power BI: Import, Transform, Visualize and Share

Feed: Planet big data Author: David Smith Power BI, Microsoft's data visualization and reporting platform, has made great strides in the past year integrating the R language. This Computerworld article describes the recent advances with Power BI and R. In short, you can: Power BI desktop is completely free to download and use, and includes all the features you need to create visualizations, reports and dashboards. (Publishing to Power BI online requires a subscription, though.) Power BI desktop and R are both included in the Data Science Virtual Machine, so that's another easy way to get started. Sharon Laivand from the Power ... Read More
Deep Learning Part 2: Transfer Learning and Fine-tuning Deep Convolutional Neural Networks

Feed: Planet big data Author: David Smith by Anusua Trivedi, Microsoft Data Scientist This is a blog series in several parts — where I describe my experiences and go deep into the reasons behind my choices. In Part 1, I discussed the pros and cons of different symbolic frameworks, and my reasons for choosing Theano (with Lasagne) as my platform of choice. Part 2 of this blog series is based on my upcoming talk at The Data Science Conference, 2016. Here in Part 2, I describe Deep Convolutional Neural Networks (DCNNs) and how Transfer learning and Fine-tuning helps better the training ... Read More
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