Pythian delivers end-to-end, expert Hadoop consulting and ongoing support services.

Pythian’s team of global experts will apply their experience and knowledge to thoroughly examine your big data challenges and goals, and tailor a solution that meets your specific business needs— whether it’s superior performance and scalability, database modernization or advanced analytics.

Pythian has been providing Hadoop solutions to clients since Hadoop first came to market,  and have created innovative solutions across Apache Hadoop and all of its ecosystem components including: Kafka, Hive, Pig, MapReduce, Spark, HDFS, HBase and more.  

Hadoop Consulting Services

  • Business case analysis and development
  • Architecture and platform development
  • Hadoop deployment, installation and setup
  • Cluster capacity planning
  • Data modeling
  • Hadoop performance tuning
  • Data warehouse migration
  • Hadoop cluster upgrades
  • POC through production solution; plan, build, deploy
  • Security requirements analysis, design, and implementation

Hadoop Support Services

  • 24×7 Hadoop administration
  • Ongoing business outcomes optimizations of applications, data, and infrastructure
  • Hadoop cluster performance monitoring
  • Proactive and reactive monitoring
  • Continuous improvements and upgrades
  • Ongoing new data integration
  • Problem resolution, root-cause analysis, and corrective actions

View Hadoop Services Data Sheet

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Pythian Helps Transform Streaming Music Service with Hadoop Solutions

“Pythian’s staff have been instrumental in helping us architect and operate the service. They’re immediately and impressively responsive whenever needed, which isn’t often because most times concerns have been proactively identified and resolved prior to degradation. Their teams have helped us shape concerns without having to manage large teams, and I sleep much better at night knowing our core database and Hadoop systems are in very capable hands.”—Vice President, Operations

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Hadoop In The Cloud

Pythian partners with industry leading cloud and Hadoop vendors to provide you with a cost-effective, scalable and always-available data platform.

Learn more about Pythian’s Cloud services. >

  • Cloud solution development
  • Cloud platform selection: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
  • Cloud solutions operations support
  • Hadoop and data migration to the cloud
  • Hadoop cloud configuration
  • Hadoop deployment to Amazon EMR, Microsoft HDInsight, Google Cloud DataProc and more
  • Detailed design and build
  • Data access and security configuration
  • Cloud platform testing and validation
  • Resource optimization for cost savings

Big Data Analytics

Pythian’s big data team implements solutions that help clients derive value and gain actionable insights from large data volumes stored in their Hadoop cluster. Achieve competitive advantage and gain insight with the right data at the right time.

Learn more about Pythian’s Advanced Analytics services. >

  • Business case analysis and definition
  • Creation of analytics model prototypes
  • Hadoop cluster design and implementation for analytics
  • Batch query and stream processing configuration
  • Model, feature and visualization development
  • Data quality and consistency testing
  • Integration with websites and applications
  • Performance tuning and optimization
  • Solution operation and performance monitoring
  • Visualization, model and data ingestion updates

Enterprise Data Hub

Whether you want to use Hadoop as a staging area for disconnected data sources, offload heavy data processing tasks to improve performance, or use Hadoop as a central data repository for analytics, Pythian has the experience to provide end-to-end services on your Hadoop deployment.

Learn more about Pythian’s Data Hub-as-a-Service. >

  • Hadoop ecosystem technology selection and implementation: Hive, Spark, Pig, Sqoop, Flume, Oozie, MapReduce, HDFS, Kafka and more
  • Hadoop distribution expertise: Apache Hadoop, Cloudera, MapR, Hortonworks
  • Integration with NoSQL and relational databases such as MongoDB, Cassandra, HBase and others such as Oracle Database, Microsoft SQL Server and Oracle Exadata
  • Data consolidation strategy
  • Architectural review and design
  • Data warehouse offload and modernization
  • Data ingestion design
  • Cluster installation and configuration
  • Data governance conformance
  • Performance tuning and optimization
  • Data consolidation and integration
  • On-going operational support

View Hadoop Team Resume

Hadoop Specialization Hortonworks Specialization & Partner Map R Specialization & Partner Cloudera Specialization and Partner

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