Blog>>Data>>Data engineering

BLOG / ... / Data engineering

details

Data engineering focuses on data architecture, data ingestion, data transformation, and data integration to ensure that data is accessible, reliable, and ready for analysis.

Thumbnail of an article about ETL vs. ELT — What are they and when do we need them?
DATA

ETL vs. ELT — What are they and when do we need them?

When we talk about data warehousing, we think of databases, which is only half of the solution. Data must be stored - this is why we need a database. But data must also be delivered into the database from a source. This is where ETL/ELT comes into the equation. Let's briefly explain what a data warehouse is and why we need one. It is a system used for storing and reporting data. Due to their design, data warehouses can process huge amounts of data, making lots of information available for business analytics.
Thumbnail of an article about What is data engineering?
DATA

What is data engineering?

In the past two decades, the digital world has been flooded with data. Most companies have completed digital transformations, and more and more users leave their digital footprint behind every day. All of this information can be turned into useful knowledge that allows companies to make data-driven decisions. This is where the process of data engineering takes place. Data engineering is a branch of data science. Data science is a broad term that includes all of the tasks that make data valuable - from gathering the data to storing, analyzing, and visualizing it.
Thumbnail of an article about Top 20 data engineering software and tools
DATA

Top 20 data engineering software and tools

Big data is an important part of operations for every technology-focused enterprise. But to make the analytics effective, there needs to be an efficient data management system governed by data engineers. Data pipelines and architecture are complex environments, and building them requires special tools. These include software for collecting, storing, and validating data, as well as applications for data visualization, analytics, and many more. Read on to check out our choices for the top 20 data engineering technologies.
Thumbnail of an article about Big data. What is it and why is it so important?
DATA

Big data. What is it and why is it so important?

Data analytics is a concept that has been around for decades. Bankers and traders of the past used handwritten spreadsheets to analyze client behavior and predict market trends. But as the years have passed, technology development has provided us with a more thorough and efficient take on data analytics. We’ve come to the age of big data, which has become one of the most significant issues for businesses of all kinds. But why is it so important? Read on to find out why you should care about big data analytics.

Get your project estimate

For businesses that need support in their software or network engineering projects, please fill in the form and we’ll get back to you within one business day.

For businesses that need support in their software or network engineering projects, please fill in the form and we’ll get back to you within one business day.

We guarantee 100% privacy.

Trusted by leaders:

Cisco Systems
Palo Alto Services
Equinix
Jupiter Networks
Nutanix