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 Certification AWS Hadoop 40

ProjectPro

JUNE 6, 2025

Becoming a successful aws data engineer demands you to learn AWS for data engineering and leverage its various services for building efficient business applications. Amazon Web Services, or AWS, remains among the Top cloud computing services platforms with a 34% market share as of 2022. What is Data Engineering??

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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.

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Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Say hello to AWS DocumentDB - your passport to unlocking the simplicity of data management. It's like a magic tool that makes handling data super simple. Imagine a world where storing, querying, and scaling data is as seamless as a finely crafted symphony – all because of AWS DocumentDB.

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ProjectPro

JUNE 6, 2025

Explore the world of data analytics with the top AWS databases! Check out this blog to discover your ideal database and uncover the power of scalable and efficient solutions for all your data analytical requirements. Let’s understand more about AWS Databases in the following section.

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ProjectPro

JUNE 6, 2025

Explore the full potential of AWS Kafka with this ultimate guide. Elevate your data processing skills with Amazon Managed Streaming for Apache Kafka, making real-time data streaming a breeze. In other words, AWS Kafka provides the backbone for innovation in the digital world. Why Kafka on AWS?

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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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ProjectPro

JUNE 6, 2025

With global data creation expected to soar past 180 zettabytes by 2025, businesses face an immense challenge: managing, storing, and extracting value from this explosion of information. Traditional data storage systems like data warehouses were designed to handle structured and preprocessed data.

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ProjectPro

JUNE 6, 2025

Table of Contents What are Data Engineering Tools? Top 10+ Tools For Data Engineers Worth Exploring in 2025 Cloud-Based Data Engineering Tools Data Engineering Tools in AWS Data Engineering Tools in Azure FAQs on Data Engineering Tools What are Data Engineering Tools?

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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.

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Christophe Blefari

MARCH 1, 2023

dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision. First let's understand why dbt exists. With the public clouds—e.g. Enter the ELT.

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Data Warehouse SQL Metadata Raw Data 278

ProjectPro

JUNE 6, 2025

Snowflake Features that Make Data Science Easier Building Data Applications with Snowflake Data Warehouse Snowflake Data Warehouse Architecture How Does Snowflake Store Data Internally? Snowflake is not based on existing database systems or big data software platforms like Hadoop.

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Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

Why Are Big Data Tools Valuable to Data Professionals? Source Code: Build a Similar Image Finder Top 3 Open Source Big Data Tools This section consists of three leading open-source big data tools- Apache Spark , Apache Hadoop, and Apache Kafka. Hadoop, created by Doug Cutting and Michael J.

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ProjectPro

JUNE 6, 2025

This section will cover the most commonly asked questions for an Amazon Data Engineer interview. Candidates should focus on Data Modelling , ETL Processes, Data Warehousing, Big Data Technologies, Programming Skills, AWS services, data processing technologies, and real-world problem-solving scenarios.

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ProjectPro

JUNE 6, 2025

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

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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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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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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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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.

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Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

We will now describe the difference between these three different career titles, so you get a better understanding of them: Data Engineer A data engineer is a person who builds architecture for data storage. They can store large amounts of data in data processing systems and convert raw data into a usable format.

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Towards Data Science

NOVEMBER 6, 2024

hadoop-aws since we almost always have interaction with S3 storage on the client side). FROM openjdk:11-jre-slim WORKDIR /app # Here, we copy the common artifacts required for any of our Spark Connect # clients (primarily spark-connect-client-jvm, as well as spark-hive, # hadoop-aws, scala-library, etc.).

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Scala Java AWS Hadoop 75

ProjectPro

JUNE 6, 2025

That's where acquiring the best big data certifications in specific big data technologies is a valuable asset that significantly enhances your chances of getting hired. Read below to determine which big data certification fits your requirements and works best for your career goals. Certification Program Fee: $585.0

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Big Data Certification Amazon Web Services Hadoop 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.

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Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

AWS or Azure? With so many data engineering certifications available , choosing the right one can be a daunting task. Table of Contents Why Are Data Engineering Skills In Demand? This section mainly focuses on the three most valuable and popular vendor-specific data engineering certifications- AWS, Azure , and GCP.

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ProjectPro

JUNE 6, 2025

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? Kafka streams, consisting of 500,000 events per second, get ingested into Upsolver and stored in AWS S3. Recommended Reading: Is Hadoop Going To Replace Data Warehouse? Is Hadoop a data lake or data warehouse?

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phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

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ProjectPro

JUNE 6, 2025

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. Briefly define COSHH.

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Data Engineer Data Engineering Engineering Hadoop 40

Monte Carlo

OCTOBER 31, 2024

Big Data and Cloud Infrastructure Knowledge Lastly, AI data engineers should be comfortable working with distributed data processing frameworks like Apache Spark and Hadoop, as well as cloud platforms like AWS, Azure, and Google Cloud. Data Storage Solutions As we all know, data can be stored in a variety of ways.

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Data Engineer Data Engineering Engineering Unstructured Data 52

ProjectPro

JUNE 6, 2025

The data integration aspect of the project is highlighted in the utilization of relational databases, specifically PostgreSQL and MySQL , hosted on AWS RDS (Relational Database Service). You will orchestrate the data integration process by leveraging a combination of AWS CDK, Python, and various AWS serverless technologies.

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Data Integration Project Data Lake Hospitality 40

ProjectPro

JUNE 6, 2025

Companies need ETL engineers to ensure data is extracted, transformed, and loaded efficiently, enabling accurate insights and decision-making. Source: LinkedIn The rise of cloud computing has further accelerated the need for cloud-native ETL tools , such as AWS Glue , Azure Data Factory , and Google Cloud Dataflow.

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Data Engineer Data Engineering Engineering ETL Tools 40

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. Hive is a data warehousing and SQL-like query language system built on top of Hadoop.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

Data Migration Tools AWS Data Pipeline IBM Informix Fivetran Data Migration Services Azure Data Migration Service AWS Data Migration Service Best Practices for Data Migration Data Migration Challenges Build a Migration Plan and Adhere to it. Establish Migration Policies.

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PostgreSQL AWS Data Warehouse Database 40

Striim

MARCH 21, 2025

Striim offers an out-of-the-box adapter for Snowflake to stream real-time data from enterprise databases (using low-impact change data capture ), log files from security devices and other systems, IoT sensors and devices, messaging systems, and Hadoop solutions, and provide in-flight transformation capabilities.

MongoDB 52

MongoDB Data Warehouse MySQL Hadoop 52

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 Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

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

Cloud computing solves numerous critical business problems, which is why working as a cloud data engineer is one of the highest-paying jobs, making it a career of interest for many. Several businesses, such as Google and AWS , focus on providing their customers with the ultimate cloud experience. Who is a GCP Data Engineer?

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Data Engineer Data Engineering Google Cloud Engineering 40

Christophe Blefari

JUNE 21, 2024

In the data world Snowflake and Databricks are our dedicated platforms, we consider them big, but when we take the whole tech ecosystem they are (so) small: AWS revenue is $80b, Azure is $62b and GCP is $37b. Using a quick semantic analysis, "The" means both want to be THE platform you need when you're doing data.

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