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Data Operations

It's No Longer Just Data Management

  

Data Operations (DataOps) is an approach to designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production.


A DataOps strategy, which is inspired by the DevOps movement, strives to speed the production of applications running on big data processing frameworks. Like DevOps, DataOps seeks to break down silos across IT operations and software development teams, encouraging line-of-business stakeholders to work with data engineers, data scientists and analysts so that the organization’s data can be used in the most flexible, effective manner possible to achieve positive business outcomes.


 As with DevOps, there are no “DataOps” software tools as such; there are only frameworks and related tool sets that support a DataOps approach to collaboration and increased agility. Such tools include: ETL/ELT tools, data curation and cataloging tools, log analyzers and systems monitors. Tools that support microservices architectures, as well as open source software that lets applications blend structured and unstructured data, are also associated with the DataOps movement. Such software can include MapReduce, HDFS, Kafka, Hive and Spark. 


Since it incorporates so many elements in the data lifecycle, DataOps spans a number of information technology disciplines, including: data development, data transformation, data extraction, data quality, data governance, data access control, computation & capacity planning and system operations. 


But at the core of DataOps … is quality data.


At most companies today, data is spread across multiple platforms and formatted in almost infinitely many ways. That’s a problem, because data holds the key companies seek to derive insight into their business and answer questions about their customers, their behavior, sentiment and intent—mission critical information for companies looking to retain and grow their customer base. This makes data governance and management a mission critical operation. 


At most companies today, data is spread across multiple platforms and formatted in almost infinitely many ways. That’s a problem, because data holds the key companies seek to derive insight into their business and answer questions about their customers, their behavior, sentiment and intent—mission critical information for companies looking to retain and grow their customer base. This makes data governance and management a mission critical operation.

To help our clients more effectively manage their data and maintain quality data and pull out accurate insights, Nexus offers the following services:

  • Data governance — The organization to manage information
  • Data structure — Definition and storage of information
  • Data architecture — Storage, movement, and retrieval of data
  • Master data management — Management of consistent core data throughout an enterprise and its partners
  • Metadata — Management of data definitions, lineage, and information about the data
  • Data quality — Accuracy, completeness, and compliance of information
  • Data security — Protection of data and the access and authorization to use it

At Nexus, these things are what we do better than anyone else. We lead you through the entire Data Operations journey - from evaluation and setup to running your Data Operations securely and with proper controls in place, all done by seasoned, premium professionals.

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From planning, defining and architecting through execution, governance and security, Nexus, stands ready to guide you through the entire Data Operations journey. Please email or call us to find out more about how our highly trained and experienced team can assist you!

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