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Spark streaming big data project for Naya Technologies

  • spark streaming big data project for naya technologies ico processing powers

    Processing powers

  • spark streaming big data project for naya technologies ico simple integration

    Simple integration

  • spark streaming big data project for naya technologies ico constant uptime

    Constant uptime

Project overview

In the era of all-consuming digitalization, some extremely responsible tasks are efficiently handled by specialized software solutions. In modern planes, systems and devices are seamlessly monitored and managed by a centralized software platform. Even the black box must be integrated with a stable connected solution that would reliably gather, store, process, and immediately transmit the onboard-state information in the case of an emergency. And this is exactly the kind of solution we had the pleasure to work on for Naya.

Client information

Naya Technologies is a market-leading global provider of data platform consulting and managed development services. The company has been operating in the market since 2009, offering a wide range of services and solutions, including data science consulting, Big Data and DB-related solutions, software development, data engineering, cloud and BI solutions, and many more. Throughout its practice, the company has been powering up data management and software systems for large enterprises and leading startups.

spark streaming big data project for naya technologies logo
spark streaming big data project for naya technologies img project overview

Business challenge

A plane’s black box is a critically-important source of emergency information used to investigate flight crashes, failures, in-air accidents, and other emergencies. The versatility, performance, and reliability of the black box software is the backbone of a successful investigation. Modern devices need advanced data collection and processing powers to keep everything in check. That’s why such projects are of the utmost importance both to us and our clients.

Technical challenges

In a nutshell, we had to walk our client’s team through the specifics and properties of Spark Streaming and Kafka, which should work jointly in the client’s black box data processing solution. The black box records all sorts of plane functionality and state events and transfers them to the Kafka-powered data processing engine. Spark Streaming then collects all the events from the Kafka engine in micro-batches. The main challenge was to optimize the software to gather and process more than 300 types of events. Each event requires adapted business logic to process all the data (enrich, calculate, analyze, group data assets).

Solution delivered

The final solution that we helped build and optimize is a Spark Streaming software engine that works jointly with Kafka to efficiently process the black box data. The solution is a real powerhouse that collects and records events to subsequently extract all the detailed info from them in segments. Say, upon receiving the “speed” event, the software converts all the info into structured plane speed properties, such as its constant speed, accelerations, and braking with precise time indication. All this valuable information is then rapidly transferred to the processing engine that further structure and organizes all the received data assets.

spark streaming big data project for naya technologies img solution
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Key features

spark streaming big data project for naya technologies img key future

  • Centralized events

    The software collects data on the state of engines, fuel, internal environment, and hundreds of other plane indicators.

  • Versatile processing

    The engine provides over 300 types of processing methods for over 300 different types of events.

  • Real-time storing

    All the events and the underlying data are collected and sent for processing in real-time, with zero downtime.

  • Centralized UI

    The software solution is conveniently accessed and managed by a single remotely enabled UI through immediate connection.

Value to our client

  • Processing powers

    Spark Streaming coupled with Kafka allow for some truly outstanding data processing versatility and performance.

  • Simple integration

    Despite its internal complexity, the system is a well-packed software suite that integrates fast and easy.

  • Constant uptime

    The system is enabled and running the whole time the plane is active, continuously connected to the remote management UI.

Our tech stack

  • python Python
  • Spark Spark Streaming 
  • Kafka Kafka 

Software solutions bringing business values

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    Case study
    Spark streaming big data project for Naya Technologies
    diceus.com
    Case study
    Spark streaming big data project for Naya Technologies
    Project overview
    In the era of all-consuming digitalization, some extremely responsible tasks are efficiently handled by specialized software solutions. In modern planes, systems and devices are seamlessly monitored and managed by a centralized software platform. Even the black box must be integrated with a stable connected solution that would reliably gather, store, process, and immediately transmit the onboard-state information in the case of an emergency. And this is exactly the kind of solution we had the pleasure to work on for Naya.
    Client information

    Naya Technologies is a market-leading global provider of data platform consulting and managed development services. The company has been operating in the market since 2009, offering a wide range of services and solutions, including data science consulting, Big Data and DB-related solutions, software development, data engineering, cloud and BI solutions, and many more. Throughout its practice, the company has been powering up data management and software systems for large enterprises and leading startups.

    Information
    Business challenge

    A plane’s black box is a critically-important source of emergency information used to investigate flight crashes, failures, in-air accidents, and other emergencies. The versatility, performance, and reliability of the black box software is the backbone of a successful investigation. Modern devices need advanced data collection and processing powers to keep everything in check. That’s why such projects are of the utmost importance both to us and our clients.

    Technical challenges

    In a nutshell, we had to walk our client’s team through the specifics and properties of Spark Streaming and Kafka, which should work jointly in the client’s black box data processing solution. The black box records all sorts of plane functionality and state events and transfers them to the Kafka-powered data processing engine. Spark Streaming then collects all the events from the Kafka engine in micro-batches. The main challenge was to optimize the software to gather and process more than 300 types of events. Each event requires adapted business logic to process all the data (enrich, calculate, analyze, group data assets).

    Solution delivered

    The final solution that we helped build and optimize is a Spark Streaming software engine that works jointly with Kafka to efficiently process the black box data. The solution is a real powerhouse that collects and records events to subsequently extract all the detailed info from them in segments. Say, upon receiving the “speed” event, the software converts all the info into structured plane speed properties, such as its constant speed, accelerations, and braking with precise time indication. All this valuable information is then rapidly transferred to the processing engine that further structure and organizes all the received data assets.

    Key features
    • Centralized events

      The software collects data on the state of engines, fuel, internal environment, and hundreds of other plane indicators.

    • Versatile processing

      The engine provides over 300 types of processing methods for over 300 different types of events.

    • Real-time storing

      All the events and the underlying data are collected and sent for processing in real-time, with zero downtime.

    • Centralized UI

      The software solution is conveniently accessed and managed by a single remotely enabled UI through immediate connection.

    Value to our client
    • Processing powers

      Spark Streaming coupled with Kafka allow for some truly outstanding data processing versatility and performance.

    • Simple integration

      Despite its internal complexity, the system is a well-packed software suite that integrates fast and easy.

    • Constant uptime

      The system is enabled and running the whole time the plane is active, continuously connected to the remote management UI.

    Tech stack used in project
    • Python
    • Spark Streaming 
    • Kafka 
    diceus.com