Data Engineering
Apr 23, 2019
Written by Todd Goldman
There is a massive trend to move data analytics and data engineering to the cloud. However, there are issues in making this change that the cloud vendors are reluctant to talk about that you need to know.


Data Engineering
Feb 12, 2019
Written by Ramesh Menon
After data is ingested into a data lake, data engineers need to transform this data in preparation for downstream use. Challenges in data preparation tend to be a broad collection of issues that add up ...


Data Engineering
Jan 15, 2019
Written by Todd Goldman
Read how an old fashioned brick and mortar retailer is automating their data engineering processes to deliver greater analytics agility.


Data Engineering
Sep 25, 2018
Written by Todd Goldman
If you believe in “failing fast” and course correcting like market leaders such as Amazon, it’s not data volume but the speed with which you can deliver and manage new analytics use cases that determine ...


Data Engineering
Aug 29, 2018
Written by Todd Goldman
To see the significant difference between modern agile data engineering and dataops tools compared to old fashioned ETL technology, you have to check ...


Data Engineering
Jul 10, 2018
Written by Todd Goldman
It is 20+ years since ETL tools came out and we are still revisiting the same argument but in a newer context. For big data, either on premise or in the cloud, should I hand code or should I use tools ...


Data Engineering
Jun 04, 2018
Written by Todd Goldman
What is Data Engineering? What are the MODERN skills need to be successful in data engineering?


Data Engineering
Apr 23, 2018
Written by Todd Goldman
It seems like these days, everybody wants to be a data scientist.  Harvard declared it to be one of the hottest jobs of the decade back in 2012.


Data Engineering
Apr 04, 2018
Written by Todd Goldman
Ad hoc data wrangling and production data engineering and data integration are very different beasts. While you might be tempted to ...


With a strong focus on data engineering automation, the Infoworks blog includes a specific category for data engineering articles. In order for IT and analytics teams to extract the most value from a plethora of structured and unstructured data, organizations rely on the skills and expertise of some to design, build, and maintain both data warehouses and data pipelines.

With roots in both business intelligence and software engineering, data engineering represents a set of skills and knowledge necessary to collect and validate data as well as creating the mechanisms for the real-world application of how to use that data.

While some can possess various skills under the umbrella of data engineering, the individuals who specialize in it and are often referred to as data engineers. Data engineers deal less in the analysis of big data and focus more on the practical flow and access of information. Essentially, a data engineer’s primary purpose is to take raw data and transform it so that this data can be queried later on. Data science relies upon these data warehouses to keep costs down and allow for scalability.

One of the primary goals of a data engineer is to optimize the performance of their company’s big data ecosystem. With a stronger connection to the realm of software engineering, data engineering experts are often proficient in system architecture, programming, database/interface design, and sensor configuration.

Some of the most common things data engineers must be familiar with are technologies intended for data storage and manipulation such as Hadoop, NoSQL, Hive, Spark, and MapReduce.

Looking for Further Reading on Automated Data Engineering & Big Data? 

The Infoworks blog is the best place to discover helpful resources and articles which dive into best practices and unique insights from around the data engineering industry. Our blog also dives into big data news,  data ingestion best practices, data operations articles, new announcements from the team at Infoworks, and data lake news articles. Stay up to date with our blog by subscribing to our email newsletter.  

If you would like to learn more about enterprise data operations and orchestration, be sure to check out the Infoworks DataFoundry!