Big Data Advisory Services
Datalenz offers on-premise and cloud-based consulting and implementation of big data solutions. Our typical service offerings are described below.
Big Data Use Case Discovery and Feasibility
Organizations who are new to Hadoop/Spark or NoSQL or do not have significant related development expertise, are likely to benefit from our "Use Case Discovery" offering. These typically last 2-15 business days and include:
Discussion around the client's business goals and related metrics
Identifying use-cases and opportunities suited for big data solutions
Identifying key stakeholders
Compiling inventory of target data sources and current workflows
Initial recommendations of big data technologies, including languages, algorithms and tools.
Developing return-on-investment models based on identified use-cases and business objectives
Big Data Pilot-to-Production Readiness Assessment
The Readiness Assessment is for organizations that have defined their use cases, identified the required big data tools and looking to take the next step.
It is typically a 7-14 day onsite engagement (or remote if client's existing infrastructure is entirely cloud-based). The engagement typically consists of:
Review of existing infrastructure including hardware, software and data flows. Recommendations on new infrastructure requirements based on enterprise reference architectures
Proof of Concept
POCs are designed to quickly showcase the value of big data solutions specific to a target use-case. They consist of:
Identification of network and server infrastructure requirements
Architecting the data ingestion strategy
Cluster design for efficient data flow
Development of a limited-scope solution showcasing the value of the selected big data technologies with an initial data set and workflow
Recommendations for production environments
Implementation services consist of:
Implementation of big data solutions in a variety of environments, including development, staging, production and mission critical environments.
End-to-end Project management including defining project requirements, timelines, skills and resources.
Installation, configuration and customizations of chosen big data technologies
Assistance with integration into operations and support systems including authentication, management and monitoring systems
Validation and initial testing of the implementation
Initial benchmarking, optimization and performance tuning based on projected workloads and data flows
Review and creation of implementation and configuration documentation
All implementations are accompanied by an optional support contract. Coverage options include 8-5 as well 24/7 onsite and/or remote.
Datalenz provides its clients with customized Big Data training classes to reduce the organizational learning curve. Common course topics include MapReduce Development for developers, Database administration courses for Admins in a variety of common NoSQL databases such as Cassandra, MongoDB, Exploratory Data Analysis for Data and Business Analysts.
Contact Datalenz today to discuss your business roadmap and how big data could help you realize it
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