Realtime Advanced Analytics: Spark Streaming+Kafka, MLlib/GraphX, SQL/DataFrames

We'll present a real-world, open source, advanced analytics and machine learning pipeline using all "15" Open Source technologies listed below.
This Meetup is based on my recent "Top-5" Hadoop Summit/Data Science talk called "Spark After Dark". Spark After Dark is a mock online dating site...[Read More]

 

How Concur uses Big Data to get you to Tableau Conference On Time

MySQL and Hive Configuration

Tips to Create Proposal

If you're in the services or consulting business, you know all about RFPs: Requests for Proposal are how many professional agencies win new work. NMC receives a lot of them from organizations around the world wanting either to upgrade their existing web presence or start from scratch with a new one. Some of them are clear, detailed, and provide the right kind of information to help us quickly write a great proposal. Others, not so much! Keeping up with web technologies that change daily is a full-time job, which is probably they're looking for.....

Spark Streaming More

Spark Streaming is an extension of the core Spark API that allows enables scalable, high-throughput, fault-tolerant stream processing of live data streams. Data can be ingested from many sources like Kafka, Flume, Twitter, ZeroMQ, Kinesis or plain old TCP sockets and be processed using complex algorithms expressed with high-level functions like map, reduce, join and window. Finally, processed data can be pushed out to filesystems, databases, and live dashboards. In fact, you can apply Spark’s machine learning algorithms, ......