ProjectPro

JUNE 6, 2025

The AWS Big Data Analytics Certification exam holds immense significance for professionals aspiring to demonstrate their expertise in designing and implementing big data solutions on the AWS platform. In this blog, we will dive deep into the details of AWS Big Data Certification.

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Big Data AWS Certification Hadoop 40

ProjectPro

JUNE 6, 2025

Build your Data Engineer Portfolio with ProjectPro! FAQs on Data Engineering Projects Top 30+ Data Engineering Project Ideas for Beginners with Source Code [2025] We recommend over 20 top data engineering project ideas with an easily understandable architectural workflow covering most industry-required data engineer skills.

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Data Engineering Data Engineer Project Engineering 59

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

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4

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AWS Scala Metadata Data Lake 98

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.

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Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

They ensure the data flows smoothly and is prepared for analysis. Apache Hadoop Development and Implementation Big Data Developers often work extensively with Apache Hadoop , a widely used distributed data storage and processing framework. These tools are the backbone of Big Data processing and analytics.

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Big Data Hadoop Scala NoSQL 40

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 data engineers are the ones that are likely to lead the whole process. are prevalent in the industry.

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Data Engineering Data Engineer Engineering Amazon Web Services 58

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.

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Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Data analytics offer automated business process optimization techniques to predict and optimize various business process outcomes. Two of the most popular NoSQL database services available in the industry are AWS DynamoDB and MongoDB. DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS).

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NoSQL MongoDB Database Amazon Web Services 40

ProjectPro

JUNE 6, 2025

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. You can use data loading tools like Sqoop or Flume to transfer the data from Kafka to HDFS.

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Data Ingestion Kafka Google Cloud AWS 40

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 Variety Hadoop stores structured, semi-structured and unstructured data.

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Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Preparing for your next AWS cloud computing interview? Here’s the perfect resource for you- a list of top AWS Solutions Architect interview questions and answers! As the numerous advantages of cloud computing are gaining popularity, more and more businesses and individuals worldwide are starting to use the AWS platform.

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AWS Amazon Web Services Cloud Computing Database 40

ProjectPro

JUNE 6, 2025

Before diving straight into the projects, let us understand the significance of working on cloud computing projects for big data professionals. You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies.

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Cloud Computing Cloud Project Google Cloud 40

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.

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Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Kafka streams, consisting of 500,000 events per second, get ingested into Upsolver and stored in AWS S3. 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.

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Data Lake Data Warehouse Cloud Hadoop 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

By the end of this training, data engineers can confidently manipulate data to meet business requirements, ensuring data quality and accuracy throughout the pipeline. This ADF training guides you in efficiently orchestrating data movement across various sources and destinations.

Data Lake 40

Data Lake Cloud Computing Data Workflow Data Pipeline 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.

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Data Warehouse Data Mining Recruitment ETL Tools 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

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.

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Data Architect Data Mining Programming Language Java 40

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. What are the components that the Hive data model has to offer? Some major components in a Hive data model are Buckets Tables Partitions.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. Why AWS Data Analytics?

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AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Let us compare traditional data warehousing and Hadoop-based BI solutions to better understand how using BI on Hadoop proves more effective than traditional data warehousing- Point Of Comparison Traditional Data Warehousing BI On Hadoop Solutions Data Storage Structured data in relational databases.

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BI Hadoop Big Data Business Intelligence 40

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.

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Big Data Big Data Skills Scala Hadoop 45

Big Data Tools

SEPTEMBER 6, 2021

Now it has added support for having multiple AWS regions for underlying buckets. Even if a meteorite hits your data center, your big data is still going to be safe! Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

ProjectPro

JUNE 6, 2025

According to Reports, the real-world adoption of Apache Hive as a Data Warehousing tool has surged, with over 4412 companies worldwide, with 58.47% in the U.S., These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools. What is Hive design?

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

Spark saves data in memory (RAM), making data retrieval quicker and faster when needed. Spark is a low-latency computation platform because it offers in-memory data storage and caching. It supports SSL/TLS encryption for data in transit, protecting it during transmission. Is PySpark a Big Data tool?

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Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud. As of 2023, Azure has ~23% of the cloud market share, second after AWS, and it is getting more popular daily. What are the steps involved in an ETL process?

Data Lake 60

Data Lake Metadata SQL Datasets 60

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

Big Data Tools

SEPTEMBER 6, 2021

Now it has added support for having multiple AWS regions for underlying buckets. Even if a meteorite hits your data center, your big data is still going to be safe! Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities.

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

JUNE 6, 2025

The normalization process helps in: removing redundant data (for example, storing data in multiple tables) and ensuring data integrity. Normalization is useful for minimizing data storage and logically storing data in multiple tables. List some of the benefits of data modeling.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JANUARY 19, 2022

Data Engineer: Job Growth in Future What do Data Engineers do? Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

NOVEMBER 2, 2023

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. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

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Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 6, 2025

This indicates that Microsoft Azure Data Engineers are in high demand. Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Knowledge Hut

APRIL 23, 2024

The history of big data takes people on an astonishing journey of big data evolution, tracing the timeline of big data. While punch cards were designed in the 1720s, Charles Babbage introduced the Analytical Engine in 1837, a calculator that used the punch card mechanism to process data.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

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. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Edureka

FEBRUARY 9, 2023

This demonstrates the high demand for Microsoft Azure Data Engineers. Every year, Azure’s usage graph grows, bringing it closer to AWS. These businesses are transferring their data and servers from on-premises to the Azure Cloud. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52