ProjectPro

JUNE 6, 2025

And for fulfilling this need, data engineers have to work in teams and extract data from various sources, transform it into a reliable form, and load that into the systems other teams of data science professionals can use to build other relevant applications.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Features of PySpark Features that contribute to PySpark's immense popularity in the industry- Real-Time Computations PySpark emphasizes in-memory processing, which allows it to perform real-time computations on huge volumes of data. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. In this project, you will work on preparing a real-time analytics dashboard using popular Big Data tools.

Hadoop 40

Hadoop Project Big Data Scala 40

Knowledge Hut

APRIL 25, 2024

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

Data Engineering is the secret sauce to advances in data analysis and data science that we see nowadays. Data Engineering Roles - Who Handles What? As we can see, it turns out that the data engineering role requires a vast knowledge of different big data tools and technologies.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? What is Kafka? Why Kafka vs RabbitMQ ?

Kafka 52

Kafka Java Big Data Architecture 52

Big Data Tools

MAY 19, 2022

The team has also added the ability to run Scala for the SparkSQL engine. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. That wraps up April’s Data Engineering Annotated.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

The team has also added the ability to run Scala for the SparkSQL engine. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market. Kafka: Shareable State Stores – This improvement in Kafka looks very interesting. That wraps up April’s Data Engineering Annotated.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

AUGUST 3, 2021

Here’s what’s happening in data engineering right now. Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. 5 Reasons to Choose Pulsar Over Kafka – The author states his bias upfront, which is nice.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

AUGUST 3, 2021

Here’s what’s happening in data engineering right now. Apache Spark already has two official APIs for JVM – Scala and Java – but we’re hoping the Kotlin API will be useful as well, as we’ve introduced several unique features. 5 Reasons to Choose Pulsar Over Kafka – The author states his bias upfront, which is nice.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

SEPTEMBER 6, 2021

It hasn’t had its first release yet, but the promise is that it will un-bias your data for you! rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! Support for Scala 2.12 How cool is that? That wraps up August’s Annotated.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x Future improvements Data engineering technologies are evolving every day. That wraps up October’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

Also, this release is compatible with Scala 2.13 – the latest stable language release before the 3.x Future improvements Data engineering technologies are evolving every day. That wraps up October’s Data Engineering Annotated. Follow JetBrains Big Data Tools on Twitter and subscribe to our blog for more news!

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Kafka 52

Big Data Tools

SEPTEMBER 6, 2021

It hasn’t had its first release yet, but the promise is that it will un-bias your data for you! rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! Support for Scala 2.12 How cool is that? That wraps up August’s Annotated.

Data Engineer 40

Data Engineer Data Engineering Engineering Big Data Tools 40

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

ProjectPro

JUNE 6, 2025

In addition to databases running on AWS, Glue can automatically find structured and semi-structured data kept in your data lake on Amazon S3, data warehouse on Amazon Redshift, and other storage locations. Furthermore, AWS Glue DataBrew allows you to visually clean and normalize data without any code.

AWS 40

AWS Data Lake ETL Tools Scala 40

ProjectPro

JANUARY 24, 2023

In addition to databases running on AWS, Glue can automatically find structured and semi-structured data kept in your data lake on Amazon S3, data warehouse on Amazon Redshift, and other storage locations. Furthermore, AWS Glue DataBrew allows you to visually clean and normalize data without any code.

AWS 52

AWS Data Lake ETL Tools Scala 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The ML engineers act as a bridge between software engineering and data science.

Machine Learning 52

Machine Learning Data Engineer Data Engineering Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

You ought to be able to create a data model that is performance- and scalability-optimized. Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

Edureka

FEBRUARY 9, 2023

Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers. Familiarity with cloud-based analytics and big data tools: Experience with cloud-based analytics and big data tools such as Apache Spark, Apache Hive, and Apache Storm is highly desirable.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

APRIL 27, 2016

Innovations on Big Data technologies and Hadoop i.e. the Hadoop big data tools , let you pick the right ingredients from the data-store, organise them, and mix them. Now, thanks to a number of open source big data technology innovations, Hadoop implementation has become much more affordable.

Hadoop 40

Hadoop Big Data Technology Kafka 40

ProjectPro

JANUARY 25, 2022

Features of PySpark Features that contribute to PySpark's immense popularity in the industry- Real-Time Computations PySpark emphasizes in-memory processing, which allows it to perform real-time computations on huge volumes of data. PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JUNE 6, 2025

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. What is the most popular Azure Certification?

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Learn about well-known ETL tools such as Xplenty, Stitch, Alooma, etc.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Edureka

FEBRUARY 9, 2023

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. What is the most popular Azure Certification?

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark.

Hadoop 52

Hadoop Java Metadata Python 52

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. It involves creating a visual representation of an entire system of data or a part of it. What is a case class in Scala?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

NOVEMBER 14, 2015

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. In this project, you will work on preparing a real-time analytics dashboard using popular Big Data tools.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

AUGUST 26, 2016

Apache Spark is the most active open big data tool reshaping the big data market and has reached the tipping point in 2015.Wikibon Wikibon analysts predict that Apache Spark will account for one third (37%) of all the big data spending in 2022. Partitions in Spark do not span multiple machines.

Hadoop 40

Hadoop Big Data Datasets Data 40

Databand.ai

DECEMBER 13, 2022

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn. He also has adept knowledge of coding in Python, R, SQL, and using big data tools such as Spark.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. What is a case class in Scala?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40