Cloud deployment and distributed computing concepts are challenging the assumptions built into the architecture of most BI tools. The shift occurring in the technology underpinnings of the BI market is still at an early stage, but the direction is obvious: away from client-server models and toward distributed computing. The historic mindset of BI vendors is built around core assumptions of...Go To Article
Guest blog post by Bernard Marr With an ever-growing number of businesses turning to Big Data and analytics to generate insights, there is a greater need than ever for people with the technical skills to apply analytics to real-world problems. Computer programming is still at the core of the skillset needed to create algorithms that can crunch through whatever structured...Go To Article
The age of big data demands that providers look beyond the box to the bigger picture of software defined architecture.
Tutorial on how to do ETL on data from Nest and IoT Devices.
A programming error can’t be laughed off as a youthful indiscretion and there may not be time to teach the moment when you’re busy trying to save your entire business.
A selected collage of highlights from Databricks’ speakers at our 10th Spark Summit.
IT teams constantly struggle to find a way to allocate big data infrastructure.
How to make it easy to build end-to-end streaming applications by exposing a single API to write streaming queries as you would write batch queries.
Engineers at Silicon Valley tech companies could analyze the entire Internet.
From Machine Learning Practitioners to Business Analysts.
Data science skills fall into three broad skill areas.
Hundreds of contributors working collectively have made Spark an amazing piece of the technology.
Rubin created Essential because he saw a need for a mobile company that brought more choice to the consumer
CoreOS is trying to decouple cloud services from hosting
TheShadowBrokers is launching new monthly subscription model
Nested data types offer Databricks customers and Apache Spark users powerful ways to manipulate structured data
We are also making the beta of Databricks Runtime 3.0-that includes the latest release candidate build of Apache Spark 2.2
Deep Learning and Apache Spark is focused on issues that are common to deep learning frameworks when running on an Apache Spark cluster
MapR Distributed Deep Learning QSS - a data science-led product that enables the training of complex deep learning algorithms
Hadoop for relational pros
Analytics is still the hottest topic in technology
This is the fourth post in a multi-part series about how you can perform complex streaming analytics using Apache Spark
Branch creates multiple branches from a single stream
Energy consumption is power in watts multiplied by the time required to complete the job
Lumira was introduced to help extend the power of traditional business intelligence with new “modern BI” capabilities
Join us again this year in Las Vegas for our biggest, most comprehensive, and most vibrant event in cloud computing.
This technology event is for the ambitious enterprise technology professional, seeking to explore the latest innovations, implementations and strategies to drive businesses forward.
Join the first-ever data streaming industry event at Current 2022: The Next Generation of Kafka Summit. You’ll be able to immerse yourself in all things real-time data with peers.
OSCON covers FLOSS in its entirety. Not just one language, tool, or philosophy, but all the moving parts integrated and working together.
The goal of the 99U Conference is to shift the focus from idea generation to idea execution. Providing road-tested insights
Consensus 2016 will define what is “real” in blockchain technology and focus on how to mainstream real-world applications for consumers.