Simplifying Big Data Applications with Apache Spark 2.0
Reduce your EC2 costs without sacrificing predictability.
Time devoted to data wrangling and DevOps is a dead loss; it reduces the amount of time data scientists can spend delivering real value to clients.
These tips can help you to expose any corner cases with your code.
The shift to Kafka enabled fast processing but has also introduced new challenges.
Many data-driven organizations are looking at event streaming architectures for creating new ways to derive business value from their data.
Learn how to leverage AWS Lambda and Databricks together to tackle two use cases.
This post intends to demonstrate how easy can be to build a stream processing application with Kafka Streams.
Databricks has been partnering with enterprises and government agencies to securely process mission-critical workloads with Spark.
See what’s happened with Apache Spark in the last couple of weeks
Luca Canali of CERN investigates performance improvements in Apache Spark 2.0 from whole-stage code generation using flame graphs.
A Buyer’s Guide from ESG Global
The results show that the Spark community is still growing fast.
For machine learning - they say their cloud products will free data scientists and developers from implementation details so they can focus on business logic.
The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications and cloud computing.
Reliable customer data is crucial for the success of any business.
The Datanami Readers’ and Editors’ Choice Awards recognized the sweeping changes Apache Spark is bringing to the Big Data landscape with four awards.
Event sourcing is an architectural pattern where you persist commands to mutate your data instead of overwriting the old values.
Public cloud providers choose CloudStack because it provides all of the capabilities required to deliver multi-tenant IaaS services.
Here’s our recap of what’s transpired with Apache Spark since our previous digest
Three waves of technological innovation
Getting Your Data Business Ready
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The challenges of big data: Volume Variety Velocity Veracity
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Indicators suggest Spark's popularity is still waxing.
In this whitepaper there are 3 points to help you avoid bumping up against the limits of the database you’re moving the data into.
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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.
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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.