ProjectPro

JUNE 6, 2025

Introduced in 2006, AWS (Amazon Web Services) is the world's most comprehensive and widely used cloud platform, with over 200 fully-featured services available from data centers worldwide. Finally, Amazon QuickSight collects query results and creates dashboard visualizations for your management team.

AWS 65

AWS Architecture Amazon Web Services Programming Language 65

ProjectPro

JUNE 6, 2025

Apache NiFi is an open-source tool that offers an intuitive interface and robust data integration features, making it an excellent choice for those looking for open-source solutions. AWS Glue and Azure Data Factory are cloud-based ETL services offered by Amazon Web Services and Microsoft Azure.

ETL Tools 45

ETL Tools AWS Data Validation Big Data 45

ProjectPro

JUNE 6, 2025

Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 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. And guess what?

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). DynamoDB uses SSD storage, and its data model is based on key-value pairs. However, MongoDB can perform well for complex queries and can handle a variety of data types, including unstructured and semi-structured data.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

Data Engineering with AWS- Nanodegree Program by Udacity This comprehensive online program focuses on the advanced aspects of data models, data warehouses, data lakes , and overall data architecture, equipping you with the skills needed to excel in data engineering. Oh wait, there’s more!

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

ProjectPro

JUNE 6, 2025

This project is an opportunity for data enthusiasts to engage in the information produced and used by the New York City government. There are many more aspects to it and one can learn them better if they work on a sample data aggregation project. A practical data engineering project has multiple components.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Gain expertise in big data tools and frameworks with exciting big data projects for students. AWS CDK Benefits The AWS CDK (Cloud Development Kit) has several benefits, making it an excellent tool for cloud development.

AWS 40

AWS Cloud Management Programming Language 40

ProjectPro

JUNE 6, 2025

Cloud Computing Every business will eventually need to move its data-related activities to the cloud. And data engineers will likely gain the responsibility for the entire process. Amazon Web Services (AWS), Google Cloud Platform (GCP) , and Microsoft Azure are the top three cloud computing service providers.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Kickstart your data engineer career with end-to-end solved big data projects for beginners. Apache Airflow Use Cases - When to Use Apache Airflow Airflow is an excellent choice if you want a big data tool with rich features to implement batch-oriented data pipelines. Is Airflow an ETL Tool?

Data Pipeline 45

Data Pipeline Building Data Lake Raw Data 45

ProjectPro

JUNE 6, 2025

AWS Lambda, the serverless compute service provided by Amazon Web Services , allows developers to run code without provisioning or managing servers. AWS Lambda is a serverless compute service offered by Amazon Web Services (AWS). Lambda writes all invocation logs to Amazon CloudWatch.

AWS 40

AWS Amazon Web Services Programming Language Big Data 40

ProjectPro

JUNE 6, 2025

Cloud computing offers immense opportunities for businesses and individuals alike, revolutionizing the way we store, process, and analyze data. 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.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 3. What role does Amazon Web Services play in DevOps? AWS offers flexible services that allow businesses to build and deploy products more quickly and reliably by combining AWS with DevOps techniques.

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

ProjectPro

JUNE 6, 2025

It is suitable in scenarios where data needs to be collected from different systems, transformed, and loaded into a central repository. AWS Data Pipeline AWS Data Pipeline is a cloud-based service by Amazon Web Services (AWS) that simplifies the orchestration of data workflows.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

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 Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

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 is primarily stored in the cloud for easier access and manipulation to query and analyze data.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

The Flask server, receiving insights from Spark, creates intuitive dashboards showcasing the analyzed Twitter data. Source- Real-time Twitter Data Analytics Project Using Flume AWS Kinesis Amazon Kinesis is a managed streaming service on Amazon Web Services (AWS) designed for handling real-time data at scale.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

With vast volumes of data being generated every second, organizations are increasingly relying on big data solutions that can harness the power of data to derive meaningful insights. In this project, you will learn how to use big data tools to build a real-time stream processing AWS data pipeline.

Big Data 40

Big Data AWS Certification Hadoop 40

ProjectPro

FEBRUARY 8, 2023

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool.

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AWS Scala Metadata Data Lake 98

ProjectPro

JUNE 6, 2025

Cloud engineers design, develop, deploy, and monitor cloud systems to provide a secure cloud environment and adequate service availability. They often focus on a single cloud-service provider, such as Azure, Google Cloud Platform, or Amazon Web Services.

Cloud 40

Cloud Engineering Cloud Computing Google Cloud 40

ProjectPro

JANUARY 19, 2022

Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. To do that, a data engineer is likely to be expected to learn big data tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 23, 2024

A few years later, Doug Cutting and Mike Cafarella made a groundbreaking development in the form of Apache Hadoop, a system that processed data in huge amounts. With the launch of Amazon Web Services (AWS), the scenario changed completely, and cloud computing became available to enterprises.

Big Data 52

Big Data Amazon Web Services Cloud Computing Media 52

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

JANUARY 24, 2023

AWS Glue: Key Differences Let us explore the key differences between the services based on specific features such as pricing, SSIS, etc. It is important to note that both Glue and Data Factory have a free tier but offer various pricing options to help reduce costs with pay-per-activity and reserved capacity.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

Knowledge Hut

NOVEMBER 2, 2023

Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow. 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

Edureka

JUNE 1, 2023

Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Businesses and organizations are rapidly migrating their legacy applications onto the AWS platform and developing new products and services on the AWS platform. Amazon Web Services (AWS) has over 1 million active users, with about 10 percent enterprise-scale customers; the rest are small and medium-sized businesses.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

ProjectPro

SEPTEMBER 26, 2021

Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of Amazon Web Services (AWS) and the data warehousing concept to effectively store the data sets.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Edureka

AUGUST 23, 2024

Types of Services Offered by Amazon Kinesis Features of Amazon Kinesis Use Cases of Amazon Kinesis Conclusion FAQs What is Amazon Kinesis? Compared to Big Data tools, Amazon Kinesis is automated and fully managed.

AWS 52

AWS Kafka Amazon Web Services Data Ingestion 52

ProjectPro

SEPTEMBER 26, 2021

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 13, 2023

Through visualizations, machine learning models, and predictive analytics, the company's cloud platform assists businesses in making data meaningful. SAPC The HANA-in memory SQL server is the SAPC's primary big data tool; however, it also offers several analytics tools.

Big Data 52

Big Data Consulting Amazon Web Services Hadoop 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. Ability to adapt to new big data tools and technologies.

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. Apache Spark, Microsoft Azure, Amazon Web services, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 20, 2023

Here is the list of the top cloud service providers: Amazon Web Services Microsoft Azure Google Cloud Platform Oracle Cloud Alibaba Cloud All the leading cloud providers stand out in their unique ways for their services and offerings. Businesses save money and time when DevOps utilities run Big Data tools.

Certification 52

Certification AWS Consulting Amazon Web Services 52

ProjectPro

JUNE 6, 2025

In this article, you will find a detailed list of five AWS projects for beginners with source code that will help you understand deploying a machine learning project using Amazon Web Services (AWS). PREVIOUS NEX T <

AWS 40

AWS Coding Project Amazon Web Services 40

ProjectPro

JUNE 6, 2025

Ace your big data analytics interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data analytics projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

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Big Data Coding Project Hadoop 40