1 / 7

Data Engineering solutions

We build a nimble platform that adapts data engineering solutions to your tasks and functional requirements easily. When accurate decisions can be made immediately, your organizational capability to deliver intelligence rises exponentially. <br>https://www.clairvoyant.ai/data-engineering

Clairvoyant
Download Presentation

Data Engineering solutions

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Engineering solutions

  2. Table of Content 1 What is data engineering? Responsibilities in data engineering Why is data engineering important? Clairvoyant's Data Engineering solutions 2 3 4

  3. What is data engineering? Data engineering refers to creating and designing a data pipeline for data scientists or data analysts to use this information. Data engineering process is the transformation of raw, unstructured data into a more user-friendly format that makes it easier to create a framework to use.

  4. Why is data engineering important? Most companies have experienced digital transformation over the last decade. This has generated an enormous amount of new types of data and, more often, much more complex data. Earlier it was clear that data scientists need to understand everything, but someone needs to organize and ensure the quality, security, and availability of their data so that they can get the job done was not so obvious. That is why need data engineering.

  5. Responsibilities in data engineering: • Design Architecture: Develop, test, and maintain large-scale architectures. Database. Make sure your architecture supports your business needs.  • Explore how to collect data. Examine the data to find hidden patterns.  • Development of dataset processes for data modeling, manufacturing, and mining.  • Recommendations for improving the reliability, efficiency, and quality of your data.  • Use of various data engineering analytics programs, machine learning, and statistical methods to prepare data for modeling. 

  6. Clairvoyant's Data Engineering solutions • Effectively integrates the data engineering process and the system of data engineering tools to provide real-time access to the business area while ensuring the accuracy and security of the data engineering solution. We provide following data engineering services: • Data strategy • Data security • Data platform automation

  7. Thank you! For your data engineering solutions, contact us at clairvoyant here.

More Related