ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

Let's delve deeper into the essential responsibilities and skills of a Big Data Developer: Develop and Maintain Data Pipelines using ETL Processes Big Data Developers are responsible for designing and building data pipelines that extract, transform, and load (ETL) data from various sources into the Big Data ecosystem.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Skills Mastering Data Engineering Skills: An Introduction to What is Data Engineering Data engineering is the process of designing, developing, and managing the infrastructure needed to collect, store, process, and analyze large volumes of data.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

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. Let's check the big data technologies list.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Hadoop Datasets: These are created from external data sources like the Hadoop Distributed File System (HDFS) , HBase, or any storage system supported by Hadoop. RDDs provide fault tolerance by tracking the lineage of transformations to recompute lost data automatically. a list or array) in your program.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

ETL is a process that involves data extraction, transformation, and loading from multiple sources to a data warehouse, data lake, or another centralized data repository. An ETL developer designs, builds and manages data storage systems while ensuring they have important data for the business.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

As a Big Data Engineer, you shall also know and understand the Big Data architecture and Big Data tools. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today. Hadoop, for instance, is open-source software.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Theoretical knowledge is not enough to crack any Big Data interview. Get your hands dirty on Hadoop projects for practice and master your Big Data skills! Once the data is ready, you will use AWS SageMaker to build a model that recommends products to users based on their previous purchases and browsing history.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks. Handle and source data from different sources according to business requirements. And for handling such large datasets, the Hadoop ecosystem and related tools like Spark, PySpark , Hive, etc.,

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Big data , Hadoop, Hive —these terms embody the ongoing tech shift in how we handle information. It's not just theory; it's about seeing how this framework actively shapes our data-driven world. These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

One of the leading cloud service providers, Amazon Web Services (AWS ), offers powerful tools and services that can propel your data analysis endeavors to new heights. With AWS, you gain access to scalable infrastructure, robust data storage, and cutting-edge analytics capabilities.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Complex data transformations, aggregations, calculations, and analyses are performed here.It is responsible for executing data transformations, aggregations, calculations, or any other operations specified in the pipeline. Batch data pipeline tools like Apache Spark, Hadoop MapReduce , or Apache Flink can be used for this.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? Upsolver has tools for automatically preparing the data for consumption in Athena, including compression, compaction partitioning and managing and creating tables in the AWS Glue Data Catalog.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Hortonworks Data Platform 2.4, Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe.

Hadoop 52

Hadoop BI Big Data Tools Big Data 52

ProjectPro

JUNE 6, 2025

Big data is often characterized by the seven V's: Volume , Variety , Velocity, Variability, Veracity, Visualization, and Value of data. Big data engineers leverage big data tools and technologies to process and engineer massive data sets or data stored in data storage systems like databases and data lakes.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

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. A data warehouse can contain unstructured data too. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? For this example, we will clean the purchase data to remove duplicate entries and standardize product and customer IDs. They also enhance the data with customer demographics and product information from their databases. Apache NiFi With over 4.1k

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Embarking on the journey of big data opens up a world of amazing career opportunities that can make a difference in people's lives. 2023 is the best time to explore this exciting field by pursuing the top big data certifications. Kickstart your data engineer career with end-to-end solved big data projects for beginners.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

Data Architect Salary How to Become a Data Architect - A 5-Step Guide Become a Data Architect - Key Takeaways FAQs on Data Architect Career Path What is a Data Architect Role? Develop application programming interfaces (APIs) for data retrieval.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

Knowledge Hut

JULY 27, 2023

The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.

Hadoop 52

Hadoop Banking Programming Language Scala 52

ProjectPro

JUNE 6, 2025

AWS Big Data Analytics Certification Prerequisites To pursue the Certification exam, there are no formal AWS Big Data certification requirements in terms of other AWS certifications. Familiarity with data storage, loading data, data processing, and visualization concepts will be beneficial.

Big Data 40

Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

Increased Efficiency: Cloud data warehouses frequently split the workload among multiple servers. As a result, these servers handle massive volumes of data rapidly and effectively. Handle Big Data: Storage in cloud-based data warehouses may increase independently of computational resources.

Data Warehouse 40

Data Warehouse Data Mining Recruitment ETL Tools 40

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. What is Hadoop? Hadoop is an open-source framework that is written in Java.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JUNE 6, 2025

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. Processes structured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Big Data Tools

SEPTEMBER 6, 2021

Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. How Uber Achieves Operational Excellence in the Data Quality Experience – Uber is known for having a huge Hadoop installation in Kubernetes.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JUNE 6, 2025

You will learn how to implement data analytics with Kinesis Data Analytics, log streaming, and notification services using Amazon SNS. The project emphasizes end-to-end testing of AWS Lambda functions and integration with DynamoDB for data storage. Install different big data tools on the VM.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. Processes structured data.

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 6, 2025

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Compression- Kafka supports data compression, which can significantly reduce storage requirements and improve data transfer efficiency. How To Describe A Kafka Topic?

Kafka 40

Kafka Big Data Python Java 40

ProjectPro

SEPTEMBER 9, 2021

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. It instead relies on other systems, such as Amazon S3, etc.

Hadoop 52

Hadoop Java Big Data Tools SQL 52

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 Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 6, 2025

It also has an integrated ADLS Gen2 account and file system for temporary data storage. It carries out crucial tasks such as data exploration, preparation, orchestration, and visualization. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop.

Data Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

When it comes to data ingestion pipelines, PySpark has a lot of advantages. PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. PySparkSQL introduced the DataFrame, a tabular representation of structured data that looks like a table in a relational database management system.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. How is Hadoop related to Big Data? RDBMS stores structured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Big Data Tools

SEPTEMBER 6, 2021

Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. How Uber Achieves Operational Excellence in the Data Quality Experience – Uber is known for having a huge Hadoop installation in Kubernetes.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

SEPTEMBER 26, 2021

As a Big Data Engineer, you shall also know and understand the Big Data architecture and Big Data tools. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today. Hadoop, for instance, is open-source software.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52