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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
  • 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
  • Distributed reactive systems

    • Distributed system architecture and design
    • Project development
    • Consulting and mentoring
    • Enterprise support (according to Lightbend subscription partner)
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    Why Full-Stack data engineers & developers are so important for business

    Over the past 3 years, the demand for the full stack developers has doubled. An increasing number of companies need developers who can do the work on a front-end and back-end side of the development process, especially small companies that can...

  • img

    Who Is a Data Engineer: Responsibilities And His Role In a Company

    Maybe the one who is skilled enough to be like a data scientist that can add incredible value to a business. Data engineers can shift your company a few steps ahead by using right data in the right hands. To make the thing more clear, they should...

  • img

    How Big Data can help business to succeed in 2020

    Over the past few years, big data has become the best hope for the business world. Understanding how big data is used in business is crucial for success. According to the Harvard Business Review study, 99% of companies surveyed said they intend to...

  • img

    Main Reasons Why Data Engineering Is Important for Companies Today

    We live in the age of data revolution, where everything that surrounds us is related to a data source and everything in our lives is digitally captured. There are not so many people in the world that hasn’t heard about Big Data. We read about it in...

  • img

    Spark Structured Streaming: customizing Kafka stream processing

    According to Spark documentation:

    Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. … In short, Structured Streaming provides fast, scalable, fault-tolerant, end-to-end exactly-once stream...

  • img

    Startup Reactive Systems

    Startup Companies

    New emerging companies that build innovative product often call themselves as a Startup. Creating an innovative product is a risky strategy. Almost all products in the current digital world actually are software products. At least...

  • 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?

img

Why Full-Stack data engineers & developers are so important for business

Over the past 3 years, the demand for the full stack developers has doubled. An increasing number of companies need developers who can do the work on a front-end and back-end side of the development process, especially small companies that can...

img

Who Is a Data Engineer: Responsibilities And His Role In a Company

Maybe the one who is skilled enough to be like a data scientist that can add incredible value to a business. Data engineers can shift your company a few steps ahead by using right data in the right hands. To make the thing more clear, they should...

img

How Big Data can help business to succeed in 2020

Over the past few years, big data has become the best hope for the business world. Understanding how big data is used in business is crucial for success. According to the Harvard Business Review study, 99% of companies surveyed said they intend to...

img

Main Reasons Why Data Engineering Is Important for Companies Today

We live in the age of data revolution, where everything that surrounds us is related to a data source and everything in our lives is digitally captured. There are not so many people in the world that hasn’t heard about Big Data. We read about it in...

img

Spark Structured Streaming: customizing Kafka stream processing

According to Spark documentation:

Structured Streaming is a scalable and fault-tolerant stream processing engine built on the Spark SQL engine. … In short, Structured Streaming provides fast, scalable, fault-tolerant, end-to-end exactly-once stream...

img

Startup Reactive Systems

Startup Companies

New emerging companies that build innovative product often call themselves as a Startup. Creating an innovative product is a risky strategy. Almost all products in the current digital world actually are software products. At least...

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?

Please contact our sales team with questions and we will get back to you within one business day.