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Spark

Spark

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What is Spark?

Apache Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general computation graphs for data analysis. It is commonly used for big data processing, data science, machine learning, and real-time analytics.

What other technologies are related to Spark?

Spark Competitor Technologies

Flink is a stream processing framework that competes with Spark Streaming and Structured Streaming for real-time data processing workloads.
mentioned alongside Spark in 72% (23.2k) of relevant job posts
MapReduce is a batch processing framework that Spark can often replace due to its faster performance.
mentioned alongside Spark in 74% (10.9k) of relevant job posts
Impala is a massively parallel processing SQL query engine for data stored in Hadoop clusters, competing with Spark SQL for interactive queries.
mentioned alongside Spark in 69% (9.8k) of relevant job posts
Presto is a distributed SQL query engine designed for fast analytic queries against data sources of all sizes ranging from gigabytes to petabytes. It is a competitor for Spark SQL.
mentioned alongside Spark in 50% (10.3k) of relevant job posts
Apache Storm is a distributed real-time computation system. It competes with Spark Streaming and Structured Streaming.
mentioned alongside Spark in 68% (7.2k) of relevant job posts

Spark Complementary Technologies

Spark can run on Hadoop clusters and leverage HDFS for storage and YARN for resource management, making them often used together.
mentioned alongside Spark in 65% (131.4k) of relevant job posts
Spark SQL can be used to query data stored in Hive tables, providing faster query processing than Hive's MapReduce engine.
mentioned alongside Spark in 68% (67.2k) of relevant job posts
Spark is written in Scala, and Scala is a primary language for developing Spark applications.
mentioned alongside Spark in 50% (88.6k) of relevant job posts

14% of Data Infrastructure Migration projects involve Spark

Spark
To develop a scalable cloud data warehouse that powers SQL analytics in Azure compute, utilizing technologies such as Azure Data Lake and Microsoft Fabric.
Spark
To integrate Workday with multiple SAP HCM systems using integration platforms like ShapeIn to streamline HR processes.
Spark
Developing services that leverage generative AI and foundation models to improve the experience of developers using AWS tools and services.
Spark
To develop scalable data architectures and real-time data pipelines using technologies like Apache Airflow, Google Cloud Platform, and BigQuery to support AI/ML analytics.
Spark
To enhance and configure the Epic electronic patient record system to improve clinical outcomes and operational efficiency.

Which organizations are mentioning Spark?

Organization
Industry
Matching Teams
Matching People
Spark
Microsoft
Scientific and Technical Services
Spark
Apple
Scientific and Technical Services

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