Can You Hear Me Now? How to Communicate with Remoties: Part 3
Parts 1 and 2 of this series looked at our preferred scenarios and best practices for instant messaging and video conferencing. This post focuses on phone meetings.
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Data Day and Graph Day Texas Slides
Check out the slides from our recent presentations at Data Day TX and Graph Day.
Space Shuttle Problems: Long-term Planning Amid Changing Technology
How can you manage your implementation in a way that allows you to take maximum advantage of technology innovation as you go, rather than having to freeze your view of technology to today’s state and design something that will be outdated when it launches? You must start by deciding which pieces are necessary now, and which can wait.
Can You Hear Me Now? How to Communicate with Remoties: Part 2
In Part 1 of this series on effective communication with remote colleagues, I looked at our preferred scenarios and best practices for instant messaging. This week, I’m sharing some thoughts about video conferencing.
Data Strategy in a World of Big Data
Silicon Valley Data Science has designed a new method to create a data strategy that overcomes limitations of conventional approaches. Recent advances in communications, networking, data, and analytics technologies are changing the way leading companies organize around, architect for, and deliver data-driven capabilities.
Can You Hear Me Now? How to Communicate with Remoties: Part 1
We believe that when even one colleague is remote, then we’re all remote — from someone. This post is the start of a four-part series covering modern communication tools, beginning with some hard-won lessons about etiquette and best practices for instant messaging; and future posts will cover video conferencing, phone meetings, and email.
The “Why?” Behind a Modern Enterprise Data Strategy
Scott Kurth, John Akred, and Julie Steele discuss developing a modern data strategy during an Ask Me Anything at Strata NY 2015. This was originally posted on the O’Reilly Media Data blog.
Building a Data-Driven Culture
When we talk about being data-driven, what we actually mean is that we would like to make decisions based on the best data, made available to the most people. What does that mean for business, and how do you start?
Pivoting Data in SparkSQL
Andrew Ray, Senior Data Engineer, contributed to the most recent release of Spark. This post gives examples of how to use his pivot commit in PySpark.