Lessons from LinkedIn: Faster Insights Through a Unified Data Ecosystem
LinkedIn implemented Apache Kafka to handle real-time data feeds and constructed “Gobblin," a data integration and ingestion
Topic: Big data platforms
Streaming Analytics Basics: Kafka, Spark, and Cassandra
The Kafka-Spark-Cassandra pipeline has proved popular because Kafka scales easily to a big firehose of incoming events, to the order of 100,000/second and
Using Apache Spark Machine Learning for Pattern Detection
As Oracle recounts, Apache Spark excels at running machine learning queries on massive data
Five Phases of Big Data Projects
First, identify the data and brainstorm a use case. Then make sure everything's in place to make it
Hybrid Integration Platforms: Using the Cloud and Microservices
The cloud and a microservices architecture can help with data systems integration, but first an organizational change has to occur.
Using ORC Files to Speed Data Analytics
Why trying to analyze big data in the form of CSV and TSV files can be a colossal
Big Data Trends for 2017: Hadoop Meets Machine Learning
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
10 Important Features for Big Data Analytics Tools
Traditional BI tools can't deal with big, fast
Special Report: Why Companies Use Hadoop
A 55-page report on the state of enterprise Hadoop adoption, including vendors, use cases, and
Building a Smart Data Lake While Avoiding the ‘Dump’
A data lake needs to be fed and governed properly before analytics can discover kernels of