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Data Engineering

Data Engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions is by using huge sets of information. There have to be mechanisms for collecting and validating that information. Today, all organizations are on an u201cinformation superhighwayu201d. The sheer volumes of information exploited by technology have given rise to bundles of complexities. These increasing complexities have significant ramifications on how businesses manage and maintain data integrity as they become a Data-Driven

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Data Engineering

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  1. Data Engineering User Guide

  2. Table of Content   Data Engineering Platform Technology Services of MastechInfotTrellis Advisory Services Enterprise Data Bus Data Engineering CoE  What is Data Engineering Data Engineering Services of MastechInfoTrellis

  3. What is Data Engineering? Data Engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions is by using huge sets of information. There have to be mechanisms for collecting and validating that information. Today, all organizations are on an “information superhighway”. The sheer volumes of information exploited by technology have given rise to bundles of complexities. These increasing complexities have significant ramifications on how businesses manage and maintain data integrity as they become a Data-Driven enterprise. MastechInfoTrellis’ Data Engineering Services helps clients get answers from their Bigdata by deriving value within an agile and trusted data fabric. MastechInfoTrellis works with businesses to design and implement architectures that make the entire corpus of enterprise data accessible.

  4. Data Engineering Platform Technology Services of MastechInfoTrellis Enterprise Data Integration Entity Resolution Establishes a one stop shop for ingesting existing data while providing the capability to integrate new data sources for scale. Ingestion frameworks should be flexible enough to account for structured and unstructured data while consistently staging “new” raw & processed data into one location. MastechInfoTrellis’ technology and machine learning solution create a Record Linkage process across the Enterprise by consistently identifying existing and new entities through the data connectivity process. Clients become vigilant in tracking customers while continually adding new relationships and behavior to client models. Enterprise Intelligence Hub (EIH) Enterprise Data Bus (EDB) A MastechInfoTrellis platform technology that brings together a modular architecture, across all the major ecosystem components, to allow a client to become a Data Driven enterprise. The EIH enables a 360-degree view of all crucial data within the Enterprise, including structured, unstructured, third party, and social media data. Within the EIH, the Mastech InfoTrellis Enterprise Data Bus (EDB) provides an enterprise data connectivity and data management foundation. The EDB is implemented in a modular fashion with open source and proprietary tools, orchestrated to gather data from all sources and store it in a high-volume and high-capacity file system, creating realizable, clean data for multiple business purposes.

  5. Data Engineering Services of MastechInfoTrellis Part I Advisory Services Data Architecture Assessment -   Data Architecture Assessment helps enterprises with analytics readiness, as well as data availability and journey assessment. Move to Cloud Services- The service focuses on data migration, application fit, and security posture. RedHat OpenShift Readiness- The assessment will review the client’s application and container plan to build a strategy leading to a comprehensive roadmap with timeline and scope. Enterprise Intelligence Hub (EIH) assessment- The EIH assessment will include data connectivity needs to be met by the Enterprise Data Bus (EDB) components.

  6. Data Engineering Services of MastechInfoTrellis PartII Enterprise Data Bus Over decades as architects and Data Management practitioners, MastechInfoTrellis has seen many Big Data and Digital Transformation initiatives derail due to the inadequate availability, reliability, and infrastructure performance issues that are inherent in large dataset management. The truth is that, unless specifically designed to do so, most combinations of software tooling and infrastructure existing in today’s enterprise will prove unequal to the task of managing or processing data at digital speed. That is why MastechInfoTrellis designed the Enterprise Data Bus (EDB), a critical component of the Enterprise Intelligence Hub (EIH). The EDB implements open source and other tools, orchestrated to gather any relevant data from all sources and store it on a high-volume, high-capacity file system.

  7. Data Engineering Services of MastechInfoTrellis PartIII Data Engineering Center of Excellence Solution Support - Data Engineering Solution Support helps in managing solution infrastructure and security in various on-premises and hybrid Cloud environments. The Service also helps in setup and configuration for success, along with a comprehensive service offering to meet business value demands. Some of the key highlights include support for IBM, AWS, Azure, and other public and private cloud providers. Data Engineering DevOps support – Data Engineering DevOps Support service provides 24*7 monitoring, administration, and maintenance along with provision, setup, and configuration. Some of the key highlights include network setup, firewall management, and set up of remote access.

  8. Email: experience@mastechinfortrellis.com https://mastechinfotrellis.com/

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