Data engineering involves designing and maintaining end-to-end data pipelines, systems, and architectures for moving and transforming data. Apache Spark is one of the primary tools/data engines used by data engineers for fast, distributed data processing at scale. Data engineering is the practice; Apache Spark is a key technology used to deliver results in complex, big-data projects.
Related Data Engineering Questions And Answers
- What are the basic steps in Data Preparation and Data Analysis?
- What are the key tools and technologies needed for Data Engineering?
- How do Data Analysts make sure their results are accurate and reliable?
- How do Data Engineers set up and manage data pipelines?
- What are the levels of Data Analysis?
- How do Data Engineers optimize database performance?
- How do Data Analysts keep data private and safe during analysis?
- What are the key types of Data Analysis methods?
- How do Data Analysts choose the right Data Visualization techniques?
- What are the four basic types of data?
- How do Data Engineers manage real-time data streams?
- What are the best practices for cleaning and preprocessing data?
- How do Data Engineers approach data integration from multiple sources?
- How do Data Engineers ensure data quality and integrity?
- What are the main methods to analyse data?
- What are the ten main steps of data analysis?
- What are the four main steps of Data Analysis?
- What security steps do Data Engineers take to protect data?
- What are the key 7 steps for Data Analysis?
- What are the four main kinds of Data Analysis?
- Data engineering vs analytics engineering: which is better for BI pipelines?
- Data engineering vs data warehousing: where should you invest first?
- Data engineering vs backend engineering: which skills overlap most?
- What setup is best for early-stage data engineering?
- What combination is not good for data engineering early?
Hire trusted DE devs from Ukraine & Europe in 48h
Skip the hiring headaches and get trusted DE developers who deliver results. Cortance has helped startups scale to million-dollar success stories.
Find your perfect DE tech match
No available DE at the moment
All our DE are currently busy.
Leave a request for info — we'll notify you once a suitable one becomes available.
Cortance helped the end client's site see significant improvements in Core Web Vitals scores and page speed tests. The team was quick to respond to questions and requests and always checked in to ensure the work was progressing well. Their communication and pricing were transparent.
Cortance provided us with three AI/ML experienced backend developers who met our tech expectations and integrated into our team well. They picked up our workflows quickly and, because of their solid experience, helped us to sort all the Machine learning-related tasks. The hiring process was also fast and efficient, which helped us scale without delays.
Looking for consultation? Can't find the perfect match? Let's connect!
Drop me a line with your requirements, or let's lock in a call to find the right expert for your project.
