ProjectPro

JUNE 6, 2025

ironSource has to collect and store vast amounts of data from millions of devices. ironSource started making use of Upsolver as its data lake for storing raw event data. Kafka streams, consisting of 500,000 events per second, get ingested into Upsolver and stored in AWS S3. Is Hadoop a data lake or data warehouse?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Skills of a Data Engineer Apart from the existing skills of an ETL developer, one must acquire the following additional skills to become a data engineer. Cloud Computing Every business will eventually need to move its data-related activities to the cloud. How to Transition from ETL Developer to Data Engineer?

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

The advantage of gaining access to data from any device with the help of the internet has become possible because of cloud computing. The birth of cloud computing has been a boon for many individuals and the whole tech industry. Such exciting benefits of cloud computing have led to its rapid adoption by various companies.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Many organizations are struggling to store, manage, and analyze data due to its exponential growth. Cloud-based data lakes allow organizations to gather any form of data, whether structured or unstructured, and make this data accessible for usage across various applications, to address these issues.

Data Lake 40

Data Lake Hadoop SQL Big Data 40

ProjectPro

JUNE 6, 2025

Showcase Your Data Engineering Skills with ProjectPro's Complete Data Engineering Certification Course ! Google Trends shows the large-scale demand and popularity of Big Data Engineer compared with other similar roles, such as IoT Engineer, AI Programmer, and Cloud Computing Engineer. Who is a Big Data Engineer?

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

Knowledge Hut

APRIL 25, 2024

Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies. Look for a suitable big data technologies company online to launch your career in the field. What Is a Big Data Tool?

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Migration RDBMSs were inefficient and failed to manage the growing demand for current data.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

“Unlock the potential of your data with Azure Databricks: a unified analytics platform that combines the power of Apache Spark with the ease of Azure.” ” Azure Databricks is a fully managed service provided by Microsoft that offers the capabilities to create an open data lake house within the Azure cloud environment.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

These DStreams allow developers to cache data in memory, which may be particularly handy if the data from a DStream is utilized several times. The cache() function or the persist() method with proper persistence settings can be used to cache data. What are some tools that Spark commonly integrates with, apart from Hadoop?

Hadoop 68

Hadoop Metadata Java Datasets 68

Big Data Tools

MAY 19, 2022

YuniKorn 1.0.0 – If you’ve been anxiously waiting for Kubernetes to come to data engineering, your wishes have been granted. is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

MAY 19, 2022

YuniKorn 1.0.0 – If you’ve been anxiously waiting for Kubernetes to come to data engineering, your wishes have been granted. is a scheduler targeting big data and ML workflows, and of course, it is cloud-native. Kafka was the first, and soon enough, everybody was trying to grab their own share of the market.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

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 Engineering Data Engineer Engineering 40

Big Data Tools

AUGUST 3, 2021

Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. When data is replicated between different racks housed in different locations, if anything bad happens to one rack, it won’t happen to another. Enter Mindgrammer – a tool for keeping your diagrams as code.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

AUGUST 3, 2021

Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. When data is replicated between different racks housed in different locations, if anything bad happens to one rack, it won’t happen to another. Enter Mindgrammer – a tool for keeping your diagrams as code.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. Of course, the main topic is data streaming.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. Of course, the main topic is data streaming.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

NOVEMBER 8, 2021

Future improvements Data engineering technologies are evolving every day. Kafka: Allow configuring num.network.threads per listener – Sometimes you find yourself in a situation with Kafka brokers where some listeners are less active than others (and are in some sense more equal than others). What else can I even add?

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

NOVEMBER 8, 2021

Future improvements Data engineering technologies are evolving every day. Kafka: Allow configuring num.network.threads per listener – Sometimes you find yourself in a situation with Kafka brokers where some listeners are less active than others (and are in some sense more equal than others). What else can I even add?

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JUNE 6, 2025

What are the advantages of a cloud-based data warehouse? The advantages of a cloud-based data warehouse are listed below: Reduced Cost : Reduced cost is one of the main benefits of using a cloud-based data warehouse. As a result, these servers handle massive volumes of data rapidly and effectively.

Data Warehouse 40

Data Warehouse Data Mining Recruitment ETL Tools 40

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 Programming Language 87

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

Big Data Tools

OCTOBER 10, 2022

One of the use cases from the product page that stood out to me in particular was the effort to mirror multiple Kafka clusters in one Brooklin cluster! Ambry v0.3.870 – It turns out that last month was rich in releases from LinkedIn, all of them related in one way or another to data engineering. This is no doubt very interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

One of the use cases from the product page that stood out to me in particular was the effort to mirror multiple Kafka clusters in one Brooklin cluster! Ambry v0.3.870 – It turns out that last month was rich in releases from LinkedIn, all of them related in one way or another to data engineering. This is no doubt very interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Finally, the data is published and visualized on a Java-based custom Dashboard.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 6, 2025

AWS has a broad ecosystem of tools that combine with and extend AWS services. Declarative AWS Cloud Formation templates allow you to deploy AWS resources and your entire AWS infrastructure. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 3. Secure working environment.

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

ProjectPro

JUNE 6, 2025

Apache Pig big data tools , is used in particular for iterative processing, research on raw data and for traditional ETL data pipelines. Let us know in comments below, to help the big data community. 14) What are some of the Apache Pig use cases you can think of?

Hadoop 40

Hadoop Java SQL Big Data 40

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

ProjectPro

JUNE 6, 2025

are all present in logical data models. The process of creating logical data models is known as logical data modeling. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 2. How would you create a Data Model using SQL commands? What is Amazon's RDBMS service?

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

Edureka

AUGUST 23, 2024

The accuracy of decisions improves dramatically once you can use live data in real-time. The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. Compared to Big Data tools, Amazon Kinesis is automated and fully managed.

AWS 52

AWS Kafka Amazon Web Services Data Ingestion 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 logging capabilities does AWS Security offer?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

DECEMBER 7, 2021

Consequently, data engineers implement checkpoints so that no event is missed or processed twice. It not only consumes more memory but also slackens data transfer. Modern cloud-based data pipelines are agile and elastic to automatically scale compute and storage resources.

Data Pipeline 52

Data Pipeline Architecture Kafka Data Lake 52

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 Generalist 52

ProjectPro

AUGUST 11, 2021

ironSource has to collect and store vast amounts of data from millions of devices. ironSource started making use of Upsolver as its data lake for storing raw event data. Kafka streams, consisting of 500,000 events per second, get ingested into Upsolver and stored in AWS S3. Is Hadoop a data lake or data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Knowledge Hut

NOVEMBER 2, 2023

Who is Azure Data Engineer? An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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. A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 2, 2018

The main objective of Impala is to provide SQL-like interactivity to big data analytics just like other big data tools - Hive, Spark SQL, Drill, HAWQ , Presto and others. Big data cloud service is evolving quickly and the list of supported Apache tools will keep changing over time.

Hadoop 52

Hadoop Big Data Machine Learning Data Lake 52