-
Traffic Data Monitoring Using IoT, Kafka and Spark Streaming
Internet of Things (IoT) is an emerging disruptive technology and becoming an increasing topic of interest. One of the areas of IoT application is the connected vehicles. In this article we'll use Apache Spark and Kafka technologies to analyse and process IoT connected vehicle's data and send the processed data to real time traffic monitoring dashboard.
-
Big Data Processing with Apache Spark - Part 5: Spark ML Data Pipelines
With support for Machine Learning data pipelines, Apache Spark framework is a great choice for building a unified use case that combines ETL, batch analytics, streaming data analysis, and machine learning. In this fifth installment of Apache Spark article series, author Srini Penchikala discusses Spark ML package and how to use it to create and manage machine learning data pipelines.
Spark GraphX in Action Book Review and Interview
InfoQ spoke with authors of Spark GraphX in Action book, Apache Spark framework and what's coming up in the area of graph data processing and analytics.
Introduction to SQL Server Containers
Containers are just around the corner for the Windows community, and this article takes a closer look at using SQL Server containers.
Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines
InfoQ interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline
Christine Doig on Data Science as a Team Discipline
Christine Doig spoke at OSCON Conference about data science as a team discipline and how to navigate data science Python ecosystem. InfoQ spoke with Christine about challenges of data science teams.
Starcounter vs. ORM and DDD
Kostiantyn Cherniavskyi looks at some of the issues surrounding the object-relation impedance mismatch and how many of them can be solved with hybrid databases such as Starcounter. 5
Virtual Panel: Current State of NoSQL Databases
NoSQL databases have been around for several years and have become a preferred choice for managing unstructured data. InfoQ spoke with four panelists about the current state of NoSQL databases. 1
Big Data Analytics with Spark Book Review and Interview
Big Data Analytics with Spark, authored by Mohammed Guller, provides a practical guide for learning Apache Spark. InfoQ and the author discuss the book & development tools for big data applications.
Everything Is “Lock-In”: Focus on Switching Costs
It makes no difference how hard you try- some form of lock-in is unavoidable. What matters most is understanding the layers of lock-in, and how to assess and reduce your switching costs.
Martin Van Ryswyk on DataStax Enterprise Graph Database
Datastax recently announced DataStax Graph to support graph data models. InfoQ spoke with Martin Van Ryswyk from DataStax team about the new product. 1
Big Data Processing with Apache Spark - Part 4: Spark Machine Learning
In this fourth installment of Apache Spark article series, author Srini Penchikala discusses machine learning concept & Spark MLlib library for running predictive analytics using a sample application.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
Is PostgreSQL Your Next JSON Database?
Getting started with Elasticsearch and Node.js
Should You Choose SQL or NoSQL?
Schema Migrations with Alembic Python and PostgreSQL
Building a dynamic configuration service with etcd and Python
|
Transporter: Open Source Repo for Database Transformations from One Store to Another Simple Search Service: Node.js, Redis, and Cloudant Search Engine |
Follow Compose on: 
