At eFAIDA, we possess the expertise to deliver efficient
Big Data solutions with the help of Apache Spark.
Apache Spark is an open-source framework primarily designed for Big Data development. Its main features are data parallelism and fault tolerance that improve processing speed and ensure that no data is lost. Apache Spark supports Scala, Java, and Python providing dynamism in app creation. What is more, Apache Spark is an easy-to-use framework with more than 80 high-level operators to simplify parallel app development, and a lot of APIs to operate on large datasets. Statistics says that more than 3,000 companies including IBM, Amazon, Cisco, Pinterest, and others use Apache Spark based solutions.
Apache Spark has a technological ecosystem that provides efficient tools for proper
performance. At eFAIDA, we apply those and other appropriate tools to achieve
maximum efficiency
Azure Storage, Amazon S3, HDFS, Apache Cassandra, Kudu, OpenStack Swift
Scala, Java, Python-C
Hadoop YARN, Apache Mesos, Kubernetes
Spark core, Spark SQL, Spark Streaming, Spark MLlib, Spark GraphX, SparkR
Apache Hadoop
Maven, Gradle, Flyway, Liquibase
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