TOP 10 ITEMS YOU NEED TO CHECK BEFORE DEPLOYING APACHE SPARK TO PRODUCTION
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10 MUST DO CHECK-LIST ITEMS ABOUT APACHE SPARK
WHAT STRATEGY CAN BE APPLIED TO YOUR DATAOPSDOWNLOAD YOUR FREE COPY NOW
We provide Apache Spark implementation and support services.
We provide CPFA trainings for Apache projects, including Apache Spark, Apache Hadoop, Apache HBase, Apache Kafka, Apache AirFlow, Apache MXNet, Apache Flink as well as other famous frameworks including PostgreSQL, TensorFlow, Keras.
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TOP 5 REASONS WHY COMPANIES DEPLOY APACHE SPARK TO THEIR PRODUCTION ENVIRONMENT
Apache Spark brings you the high-end data analytics
90%+ use Apache Spark because of its performance gains.
75%+ use Apache Spark as it is easy to use
70%+ use Apache Spark due to the ease of deployment
60%+ use Apache Spark to leverage advanced analytics
50%+ use Apache Spark for real-time streaming
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"With sophisticated algorithms to gain the most value out of Big Data" - EmblocSoft
This FREE Check-List Report reveals the most important items you should check before deploying Machine Learning on Apache Spark to production.
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