ProjectPro

JUNE 6, 2025

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. What is Kafka? Why Kafka vs RabbitMQ ?

Kafka 72

Kafka Java Big Data Architecture 72

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. What are its limitations and how do the Hadoop ecosystem address them? What is Hadoop.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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

Hive comparison elaborates on the two tools’ architecture, features, limitations, and key differences. The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data.

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Hadoop Java Big Data Tools SQL 45

ProjectPro

JUNE 6, 2025

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.

NoSQL 40

NoSQL Database Hadoop Big Data 40

ProjectPro

JUNE 6, 2025

We'll break down the fundamentals, walk you through the architecture, and share actionable steps to set up a robust and scalable data lake. 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.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 4, 2015

All the components of the Hadoop ecosystem, as explicit entities are evident. All the components of the Hadoop ecosystem, as explicit entities are evident. The holistic view of Hadoop architecture gives prominence to Hadoop common, Hadoop YARN, Hadoop Distributed File Systems (HDFS ) and Hadoop MapReduce of the Hadoop Ecosystem.

Hadoop 52

Hadoop Architecture IT Java 52

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 NoSQL 40

ProjectPro

JUNE 6, 2025

Learn the A-Z of Big Data with Hadoop with the help of industry-level end-to-end solved Hadoop projects. Databricks vs. Azure Synapse: Architecture Azure Synapse architecture consists of three components: Data storage, processing, and visualization integrated into a single platform.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 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.

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Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Table of Contents Data Lake vs Data Warehouse - The Differences Data Lake vs Data Warehouse - The Introduction What is a Data warehouse? Data Warehouse Architecture What is a Data lake? Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse?

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Data Lake Data Warehouse Cloud Hadoop 40

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

Here’s a sneak-peak into what big data leaders and CIO’s predict on the emerging big data trends for 2017. The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? It can also access structured and unstructured data from various sources.

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Data Engineer Data Engineering Engineering Kafka 45

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

These pipelines are the go-to solution for data engineers, and it's no secret why. This blog will help you demystify batch data pipelines, explore the essential tools and architecture, share some best practices, and walk you through building your first batch data pipeline. Table of Contents What Is A Batch Data Pipeline?

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. 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 next in the series of articles highlighting the most commonly asked Hadoop Interview Questions, related to each of the tools in the Hadoop ecosystem is - Hadoop HDFS Interview Questions and Answers. HDFS vs GFS HDFS(Hadoop Distributed File System) GFS(Google File System) Default block size in HDFS is 128 MB.

Hadoop 40

Hadoop Metadata Big Data Kafka 40

ProjectPro

JUNE 6, 2025

Cloud Computing is the grouping of networks, hardware, services, and storage that delivers/sells computing over the internet. Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies. What are the component layers found in Cloud architecture?

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

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

The answer is simple- by gaining a solid grasp of the real-time data ingestion process. This comprehensive guide sheds light upon the core concepts of real-time data ingestion, exploring its various types, patterns, tools, services, and architectures, along with some real-world examples to solidify your understanding.

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Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Therefore, organizing, storing, visualizing, and analyzing the vast amounts of usable data enterprises produce is necessary. Traditional data tools cannot handle this massive volume of complex data, so several unique Big Data software tools and architectural solutions have been developed to handle this task.

Big Data Tools 40

Big Data Tools Big Data Hadoop Kafka 40

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. What is Hadoop? Is it really modern?

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Data Engineer Data Engineering Engineering Hadoop 130

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

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 Are Big Data T echnologies? Let's explore the technologies available for big data.

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Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

According to the Data Management Body of Knowledge, a Data Architect "provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture." What Does a Data Architect Do?

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Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Apache Spark is also quite versatile, and it can run on a standalone cluster mode or Hadoop YARN , EC2, Mesos, Kubernetes, etc. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase , Apache Hive, and others like the Hadoop Distributed File System.

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Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

Before diving into the how, let's briefly discuss why learning Apache Spark is worthwhile: High Performance: Spark offers in-memory processing, which makes it significantly faster than traditional disk-based data processing systems like Hadoop MapReduce. Learn how to create, transform, and perform actions on RDDs.

Programming Language 40

Programming Language Scala Hadoop Java 40

ProjectPro

JUNE 6, 2025

Explore Data Engineer Projects to Learn the Plumbing of Data Science Role and Responsibilities of a Data Engineer Prepare, handle, and supervise efficient data pipeline architectures. Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

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

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. You will get to learn about data storage and management with lessons on Big Data tools.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Now is the ideal time to add big data skills to your resume and gain wings to fly around the job market with the multitude of big data jobs available today. Big Data careers span multiple domains Data Engineering, Data Science, Data Analytics, Data Architecture, and Business Analytics.

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Big Data Big Data Skills Scala Hadoop 45

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

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

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.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Microsoft offers Azure Data Lake, a cloud-based data storage and analytics solution. It is capable of effectively handling enormous amounts of structured and unstructured data. Therefore, it is a popular choice for organizations that need to process and analyze big data files. Define the Synapse Architecture.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 40

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Data Storage : Store validated data in a structured format, facilitating easy access for analysis.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

ProjectPro

JUNE 6, 2025

So, let’s dive into the list of the interview questions below - List of the Top Amazon Data Engineer Interview Questions Explore the following key questions to gauge your knowledge and proficiency in AWS Data Engineering. Become a Job-Ready Data Engineer with Complete Project-Based Data Engineering Course !

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Data Engineer Data Engineering Engineering NoSQL 40