Big Data Consulting

Big data technologies are crucial as industry demands deriving insights from large data sets. Scalein has deep expertise in using big data technologies to solve complex data processing requirements.

As little as within a week time, we can help to boot-strap your big data analytics platform by understanding business logic, sourcing various data points and providing quick insights.

Within last three years, we implemented more than 100+ big data analytics platforms and we still support majority of them on day-to-day.

Supported Big Data Technologies

  • Environment | Hadoop, HDFS, MapReduce, Zookeeper
  • Log processing | Flume, Scribe, Honu, Chukwa, Splunk, Loggly
  • Data store integration | HBase, MongoDB, Cassandra, Vertica, SAP HANA, Kafka
  • Data analysis | Hive, PIG, R, Impala
  • Data Processing | Spark, Storm
  • Tools | Sqoop, Oozie, Esper, Kettle, Talend, Custom ETL scripts
  • Machine learning | Mahout, Panda
  • Search | Solr, Elasticsearch
  • Distribution | Apache, Cloudera, Hortonworks

Big Data Strategy:

  • We can come and help on where and how to start
  • Help to drive business to next level by making use of data
  • Identify core data points that can help immediate and long term business goals
  • Evaluate and implement the right big data platform that best fits the requirements and current technology stack

Big Data Consulting:

  • Evaluate existing system and gather data requirements & recommend the best big data strategy
  • Design the architecture and framework that would best fit the environment
  • Developing the right integration plan that minimizes the risk, aligns with cost and business strategy
  • Build and support complete end-to-end bigdata platform

Big Data Engineers, Data Scientists

  • Provide bigdata engineers and data scientists on project basis, onsite or remote
  • Engineers available on full-time or part-time

Big Data Implementation

  • Design, development, integration, migration & support
  • Build bigdata infrastructure – high performance, highly scalable and highly redundant
  • HA and Replication
  • Define ETL process for heterogeneous sources (structured, semi-structured and unstructured data)
  • Use state of the art log management
  • Reporting integration (home grown or third party)
  • Implement open source and commercial data analytics and warehouse services
  • Implement data computational platform for analytics
  • Map-reduce jobs to work on large data sets
  • Recommender system
  • Predictive analysis
  • Data archiving and purging

Big Data Support

  • Maintenance, administration, cluster management, 24/7 support
  • Monitoring, in-depth exposure to systems and pipeline performance
  • Performance tuning and optimization
  • Scalability, capacity planning
  • Engineering and operational training

Big Data Architecture

Here is our typical bigdata architecture; and we involve in building, implementing, administering and supporting all components as needed.

Big Data Architecture

Learn More About Big Data Consulting

To learn more about Big Data Consulting, send us a message.