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Apache Spark Development Solutions
Apache Spark is a high-performing large-scale analytics and data processing engine that offers high batch and interactive processing performance.
Streamlined Operations
Apache spark streamlines data processing objectives with in-memory computing capabilities and super-fast queries.
Empower Interactive Analytics
Spark-based real-time predictive analytics solutions for enterprises to gain faster and more practical business insights.
Run workloads Faster
With managed workloads, organizations can work on reducing costs and maximizing workload efficiency.
Empowering Apache Spark as a Service
Apache Spark is a fast cluster computing platform developed for performing computations and stream processing activities. Understand how it assists in building and processing data applications.
Apache Spark Implementation Solutions
Utilizing Apache Spark's built-in libraries and APIs for data processing, machine learning, and streaming analytics.
Monitoring Solutions
Unified Memory Management
Collocated Data Engine
RDD in Apache Spark
Streamlined Performance
Monitoring Solutions
24x7 monitoring and support solutions for promoting efficient and faster workload performance.
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Unified Memory Management
Apache Spark comes with a shared memory pool for execution and caching, further empowering self-managing and optimization abilities.
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Collocated Data Engine
Apache Spark engine is present in the operational database, which means there is no need for extracting, transforming, and loading into a new environment.
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RDD in Apache Spark
Resilient Distributed Datasets driven solutions for extending Immutability, Fault Tolerance, and partitioning capabilities.
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Streamlined Performance
Apache Spark has an advanced DAG execution engine that supports cyclic data flow and in-memory computing, running application to run up to 100x faster.
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Apache Spark Managed Service Pricing Plan
Building powerful and effective Big Data workloads
Enterprise solutions for building scalable data deployment and management strategy.
Deploy Spark Clusters on AWS
Empower scalable and reliable applications with optimized query execution and implementation solutions.
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Large-scale Data processing with Spark
Facilitate and build completely managed parallel and integrated operations with Dataproc.
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Azure HDInsight Solutions
Enterprises can utilize HD insight abilities for easy administration and configuration of Spark clusters.
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Related Data Processing Insights
Explore our Data Processing related Insights
Running Apache Spark applications on AWS
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Overview and Installation of Apache Zeppelin
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Building Real Time Streaming Application with Apache Spark
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