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Overview and Key Highlights
Offering and Solutions
- Tailored Spark Platform
- Automated Data Pipelines
- Integrating Spark
- Batch Processing System Advanced Analytics
- Deployment Automation
- Security Implementation
- Upgrade Automation
- Complete recovery process
- Memory Leak Issues
- Data Locality Issues
- Check Workloads
- Task Execution
- Deployment Architecture
- Capacity Design
- Performance Optimization
- Observability Design
Why choose Ksolves for Apache Spark?
Value and Trust
Analytics Companies Of 2021-
with Apache Spark in
Companies In India-
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accelerate business transformation.
Revolutionize Data Structure with Apache Spark
Discover how we transformed a petroleum company's data management using Apache Spark, efficiently normalizing complex data from diverse sources, detecting anomalies, and enabling seamless loading with version control.
Streamlining and Analyzing Diverse Data Streams for Enhanced Data Analytics
Discover how we transformed our client's struggle with intricate, high volume data streams into a streamlined and efficient process by utilizing Apache Spark and Apache Kafka, along with our innovative approach.
Entity Resolution is the task for finding every instance of an entity such as a customer, across all enterprise systems,applications, and knowledge bases on-premises and in the cloud.
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Find Your Query Here!
What is Apache Spark?
An open-source distributed data storage framework used for lightning-fast data processing
How does Apache Hadoop work with Apache Spark?
Apache Spark can run in Apache Hadoop clusters through YARN, and it can exercise data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. Spark is very well developed and designed to perform batch processing and new workloads like streaming, interactive queries, and machine learning.
Do I need to fit data into memory to use Apache Spark?
No, if the data does not fit, Apache Spark operators will spill data to disk making it flexible to run on any sized data.
Do I need to run Apache Hadoop and Apache Spark together?
No, Absolutely not. Apache Hadoop and Apache Spark aren’t mutually exclusive and can be made to run individually.
Does Apache Spark need modified versions of Scala or Python?
No, Apache Spark needs no changes to Scala or Python
What Apache Spark services are offered by Ksolves?
Ksolves Apache Spark Development Company offer a large range of services including-
- Apache Spark Development Services
- Apache Spark Implementation Services
- Apache Spark Performance Tuning
- Apache Spark Architecture
What are the main Features of Apache Spark?
Main features of Apache Spark can be listed as follows:
- Lightning-fast computations
- Scalable application
- Support analytics
- Live data streaming
Ksolves, with its efficient service, will allow you to extract the best use of these features!
Why should you trust Ksolves for Apache Spark Consulting?
With Ksolves by your side you can enjoy these benefits of Apache Spark Consulting Services:
- Instant support
- High-quality standards
- Breaking down complexities
- Equipped with latest software and necessary tools