Graph databases are powering mission-critical applications

The O’Reilly Data Show Podcast: Emil Eifrem on popular applications of graph technologies, cloud computing, and company culture. [This piece was co-written by Shannon Cutt. A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. WhileContinue reading “Graph databases are powering mission-critical applications”

Kuala Lumpur and Malacca City

The week before Strata+Hadoop World in Singapore, we snuck up the Malaysia for a quick vacation. The food in Malaysia – particularly at hawker (food) courts – was outstanding. We stayed in Petaling Jaya (“PJ”) an area that young professionals and families seem to favor. Below are some highlights: Just rolled into … Kuala LumpurContinue reading “Kuala Lumpur and Malacca City”

Singapore Eats

This year marks the debut of Strata+Hadoop World in Singapore, and I decided to spend most of this week checking out the city and visiting with friends. Below are some of the places that I’ll be recommending to friends and Strata attendees: After some A/B testing, I lean towards white pepper crabs – https://t.co/7eutOuBRrN isContinue reading “Singapore Eats”

Architecting big data applications in the cloud

The O’Reilly Data Show podcast: Jai Ranganathan on the Hadoop ecosystem, the recent surge in interest in all things real time, and developments in hardware.   [This piece was co-written by Shannon Cutt. A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the opportunities andContinue reading “Architecting big data applications in the cloud”

Building systems for massive scale data applications

The O’Reilly Data Show podcast: Tyler Akidau on the evolution of systems for bounded and unbounded data processing. [This piece was co-written by Shannon Cutt. A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. ManyContinue reading “Building systems for massive scale data applications”

Turning big data into actionable insights

[A version of this article appears on the O’Reilly Radar.] The O’Reilly Data Show podcast: Evangelos Simoudis on data mining, investing in data startups, and corporate innovation. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. Can developments in data science and big data infrastructureContinue reading “Turning big data into actionable insights”

How intelligent data platforms are powering smart cities

[A version of this post appears on the O’Reilly Radar.] Smart cities and smart nations run on data. According to a 2014 U.N. report, 54% of the world’s population resides in urban areas, with further urbanization projected to push that share up to 66% by the year 2050. This projected surge in population has encouragedContinue reading “How intelligent data platforms are powering smart cities”

Resolving transactional access and analytic performance trade-offs

[A version of this article appears on the O’Reilly Radar.] The O’Reilly Data Show podcast: Todd Lipcon on hybrid and specialized tools in distributed systems. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. In recent months, I’ve been hearing about hybrid systems designed toContinue reading “Resolving transactional access and analytic performance trade-offs”

Specialized and hybrid data management and processing engines

A new crop of interesting solutions for the complexity of operating multiple systems in a distributed computing setting The 2004 holiday shopping season marked the start of Amazon’s investigation into alternative database technologies that led to the creation of DynamoDB — a key-value storage system that went onto inspire several NoSQL projects. A new groupContinue reading “Specialized and hybrid data management and processing engines”