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From business challenge to IT solution

Create value faster with our team for the whole software development and operations lifecycle.

Let's transform business challenges to opportunities using verified approaches and cutting edge technologies

  • Trust level in business based on data quality

    The speed of economic and technological changes could cause decrease data quality. Without trust, the business will not be able to compete effectively and it will eventually fail.

  • Improve business effectiveness and happiness

    We'll help you to implement your concept starting from analyze and design to the implementation using cutting edge technologies, testing, deploying and supporting the solution.

  • Deliver value faster

    Based on our experience in long term projects we know which experts are best fit to implement your ideas and we will supply the best combination of experienced specialist for your tasks.

  • Scale without limits

    Scales to support hundreds of thousands of users, millions of connections, terabytes of data, and geographically dispersed customers. We offer Lightbend inc. enterprise subscriptions.

  • Our services Our services

    DataEngi Professional Services helps organizations reduce time to market by accelerating the adoption of modern software technologies and delivery methods.

  • DevOps as a service

    • Continuous Integration/Continuous Delivery
    • Infrastructure as code
    • Cluster management
    • Public and private cloud
  • Distributed reactive systems

    • Distributed system architecture and design
    • Project development
    • Consulting and mentoring
    • Enterprise support (according to Lightbend subscription partner)
  • Big Data & ML

    • Data lake architecture and design
    • Data science research and development
    • Big & fast data, Machine Learning
  • Backend development

    • Reliable systems architecture
    • High-performance messaging solutions
    • High availability systems with failover
    • Cloud computing
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Interested in DataEngi Professional Services?
Get in touch.

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Blog Blog

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    Spark DataSkew Problem

    Data Distribution in Big Data

    The performance of the Big Data systems is directly linked to the uniform distribution of the processing data across all of the workers. When you have a database table and then take the data from it to processing, the rows of the data should be distributed uniformly among all the data workers.

  • img

    Provisioning Hortonworks Data Platform onto OpenStack with Terraform

    This article deals with provisioning Cloud environment for Hortonworks Data Platform (HDP) and deployment in Openstack private cloud by Terraform tool.

  • img

    Monitoring Kubernetes

    What is the main idea of monitoring ?

    Monitoring is a way to see the state of your system. For example load average, active RAM, load on the network and many other useful metrics, which you will necessarily want to see if you have a complex, cohesive...

  • img

    Networking in Berlin - Lightbend Partner Executive Summit 2018

    As Lightbend partner, DataEngi was invited to “Lightbend Partners Summit” on 15th of May'18 that was taking part in Berlin just right before the Scala Days conference. Our Scala experts Dmytro and Nazar had a chance to speak out on the event with presentation regarding how Lightbend products can be used in different business cases. So, three of us have packed our bags and landed in the Schönefeld Airport. Luckily, the trip was more than for one day so we had a chance to walk around the city and see all the beautiful and historical places around.

  • img

    Abstracting From Future

    The concept of Future is an encapsulation of a computational code in a way that is convenient for functional composition. Future is an abstraction that eliminates direct work with threads. The focus of development is moving from thread synchronization techniques (monitors, locks etc) to terms of chaining data transformation, callback behaviors, composability of asynchronous results. Engineers primarily focus on business logic rather than on implementational details of the logic execution. It’s a shift from imperative to declarative development, that hides details of composition and synchronization of asynchronous results of the computation.

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    DataEngi public web content using GitLab pages

    So we have to build company site with blog. What we should care about?

    • Common tools and learning curve for writers
    • Content approvement wokflow
    • Data consistency
    • Site improvement and migration should be in architecture

    Is it effective to use any CMS?

img

Spark DataSkew Problem

Data Distribution in Big Data

The performance of the Big Data systems is directly linked to the uniform distribution of the processing data across all of the workers. When you have a database table and then take the data from it to processing, the rows of the data should be distributed uniformly among all the data workers.

img

Provisioning Hortonworks Data Platform onto OpenStack with Terraform

This article deals with provisioning Cloud environment for Hortonworks Data Platform (HDP) and deployment in Openstack private cloud by Terraform tool.

img

Monitoring Kubernetes

What is the main idea of monitoring ?

Monitoring is a way to see the state of your system. For example load average, active RAM, load on the network and many other useful metrics, which you will necessarily want to see if you have a complex, cohesive...

img

Networking in Berlin - Lightbend Partner Executive Summit 2018

As Lightbend partner, DataEngi was invited to “Lightbend Partners Summit” on 15th of May'18 that was taking part in Berlin just right before the Scala Days conference. Our Scala experts Dmytro and Nazar had a chance to speak out on the event with presentation regarding how Lightbend products can be used in different business cases. So, three of us have packed our bags and landed in the Schönefeld Airport. Luckily, the trip was more than for one day so we had a chance to walk around the city and see all the beautiful and historical places around.

img

Abstracting From Future

The concept of Future is an encapsulation of a computational code in a way that is convenient for functional composition. Future is an abstraction that eliminates direct work with threads. The focus of development is moving from thread synchronization techniques (monitors, locks etc) to terms of chaining data transformation, callback behaviors, composability of asynchronous results. Engineers primarily focus on business logic rather than on implementational details of the logic execution. It’s a shift from imperative to declarative development, that hides details of composition and synchronization of asynchronous results of the computation.

img

DataEngi public web content using GitLab pages

So we have to build company site with blog. What we should care about?

  • Common tools and learning curve for writers
  • Content approvement wokflow
  • Data consistency
  • Site improvement and migration should be in architecture

Is it effective to use any CMS?