Cloud
Data Engineering

What is Data Engineering

Data engineering means collecting and validating data and then developing applications, based on the information collected, that produce insights to help with your business activities. Data engineering entails multiple systems making it extremely time-consuming to design and maintain.

With Snowflake, data engineers can collect more data with its single platform that ingests all data and provides a modern way of streamlining data engineering.

data science

Benefits of Data Engineering

  • Reduced Complexity - Other methods of collecting data are quite time-consuming. However, with Snowflake, you have more control over data collection, and it’s faster and easier to collect and validate data.
  • Single Platform - You don’t need to connect Snowflake with other tools resulting in extreme efficiency. You can rest assured that your access to Snowflake is secure.
  • Easy To Use - Snowflakes’ simplified system saves you time and resources by using advanced analytics, data lakes, and data sharing workloads available in major cloud platforms, e.g., Google Cloud, and Azure.

What We Do

Data Transformation

We help you to easily create and streamline data development with Snowflake. These data pipelines gather, store and process data. You can now spend more time on model development and less time on data collection.

Data Cleansing for Various Data Formats

We clean, process, and transform your data into usable formats that you can use for model development.

Tailor-made Solutions to Help You Improve Performance

We review your current data architecture and help you choose the best data platform to manage your data.

Why Deeta for Data Engineering

Global Talent

We have proven experience in delivering data engineering solutions to all clients, large and small. Leverage our team’s expertise in using Snowflake and other premium data management tools.

Collaboration With Other Top Talents

We collaborate with other top teams to ensure that you get the best tailor-made solutions explicitly designed to solve your data engineering issues.

Leading Technology

Our development team is always trying out new technologies and new methods of working with existing technology making us one step ahead of competitors.

Deeta Analytics worked with us to build a proof-of-concept dashboard in conjunction with our Medill Subscriber Engagement Index initiative. The success of the POC led us to engage Deeta to build the MSEI operational platform. Deeta developed a highly efficient and cost-effective platform using Snowflake as the data warehouse. Deeta also developed a custom front-end visualization that will ultimately support thousands of users. Deeta clearly understood our requirements, developed an efficient and cost-effective solution, and quickly delivered an advanced platform. Deeta has been a valued partner for a complex project involving analytics, cloud based data warehousing, and data visualization.

Jonathan Copulsky
Executive Director, Medill Spiegel Research Center, Northwestern University

Deeta Analytics has stepped in and provided us with much needed strategy and development support with regards to new product development. They took the time to understand our needs and worked with us to take simple concepts and turned them into complex but buildable solutions which will improve our overall product line. Deeta Analytics is thorough with their research and provides detailed documentation which helps making decisions and moving through the development process a lot less strenuous for our organization 

Director, Products & Technology
Chicago Based Digital Agency
  • Company White Paper