ProjectPro

JUNE 6, 2025

quintillion bytes of data generated daily, the landscape is ripe for skilled individuals to step in and make sense of this wealth of information. Now, think about another role within the same field: a Machine Learning Engineer. With the rise of AI-powered applications, the demand for ML engineers is rapidly increasing.

Data Science 40

Data Science Machine Learning BI Certification 40

Pinterest Engineering

SEPTEMBER 9, 2024

Gokus ingestor component consumes from this Kafka topic and then produces into another kafka topic (partition corresponds to GokuSshard). GokuS consumes from this second Kafka topic and backs up the data intoS3. The GokuS cluster consumes data points from all the kafka topics (i.e. from every namespace).

Database 46

Database Bytes Kafka Software Engineer 46

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

Rockset

AUGUST 11, 2022

I remember back in the day when you had to set up your clusters and run Hadoop and Kafka clusters on top, it was quite expensive. In the past, DBAs had to understand how many bytes a column was, because they would use that to calculate out how much space they would use within two years. Ben Rogojan Software engineers want to develop.

Bytes 52

Bytes Consulting Kafka MongoDB 52

ProjectPro

JUNE 6, 2025

Exabytes are 10006 bytes, so to put it into perspective, 463 exabytes is the same as 212,765,957 DVDs. Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 40

Certification Data Engineer Data Engineering Engineering 40

Dataquest

OCTOBER 16, 2019

Data engineers are software engineers who specialize in data and data technologies. That makes them quite different from data scientists, who certainly have programming skills, but who typically aren’t engineers. What does that mean and how does it relate to learning data engineering? Let’s take a deeper look.

Data Engineer 52

Data Engineer Data Engineering Engineering Software Engineer 52

Grouparoo

OCTOBER 6, 2021

3 About the Storage Layer Efficiency details for queries 4 Analytics as the Secret Glue for Microservice Architectures What to measure: company metrics, team metrics, experiment metrics 5 Automate Your Infrastructure DevOps is good 6 Automate Your Pipeline Tests Treating data engineering like software engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

ProjectPro

SEPTEMBER 26, 2021

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Most of these are performed by Data Engineers.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Towards Data Science

APRIL 3, 2023

I have found that thinking of data as a story over time helps to give life to these bytes of data. These events are emitted (written) directly to an event stream processing service, like Apache Kafka, which under normal circumstances enables listeners (consumers) to immediately use that event once it is written.

Process 98

Process Data Lake Bytes Systems 98

ProjectPro

FEBRUARY 21, 2023

This blog covers the most valuable data engineering certifications worth paying attention to in 2023 if you plan to land a successful job in the data engineering domain. Why Are Data Engineering Skills In Demand? Exabytes are 10006 bytes, so to put it into perspective, 463 exabytes is the same as 212,765,957 DVDs.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Confluent

SEPTEMBER 24, 2019

Franz Kafka, 1897. Load balancing and scheduling are at the heart of every distributed system, and Apache Kafka ® is no different. Kafka clients—specifically the Kafka consumer, Kafka Connect, and Kafka Streams, which are the focus in this post—have used a sophisticated, paradigmatic way of balancing resources since the very beginning.

Kafka 16

Kafka IT Algorithm Bytes 16