ProjectPro

JUNE 6, 2025

You might have heard of how big data is prominently expanding day by day, and you would have been curious about learning big data as a big data engineer might be your dream job. But the learning path and roadmap to learn big data could be perplexing. How to Learn Big Data for Free?

Big Data 45

Big Data Big Data Skills Hadoop Scala 45

ProjectPro

JUNE 6, 2025

In the realm of big data processing, PySpark has emerged as a formidable force, offering a perfect blend of capabilities of Python programming language and Apache Spark. DataFrame products: Wondering if Spark is suitable for Big Data? Upgrade your Big Data Skills with ProjectPro! Let’s get started!

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Big Data Data Process Process SQL 40

ProjectPro

JUNE 6, 2025

Ready to ride the data wave from “ big data ” to “big data developer”? This blog is your ultimate gateway to transforming yourself into a skilled and successful Big Data Developer, where your analytical skills will refine raw data into strategic gems.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

This blog presents a detailed list of differences between the three popular cloud data warehouses- Redshift vs. BigQuery vs. Snowflake to guide you on the most suitable tool for your big data and data warehousing projects. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects.

Big Data 40

Big Data Project Bytes Data Storage 40

ProjectPro

JUNE 6, 2025

Did you know that, according to Linkedin, over 24,000 Big Data jobs in the US list Apache Spark as a required skill? Learning Spark has become more of a necessity to enter the Big Data industry. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 40

Big Data Data Process Process Kafka 40

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

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Big Data Machine Learning Cloud Data Process 312

ProjectPro

JUNE 6, 2025

Independently create data-driven solutions that are accurate and informative. Interact with the data scientists team and assist them in providing suitable datasets for analysis. Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines.

Data Engineering 94

Data Engineering Data Engineer Engineering Amazon Web Services 94

ProjectPro

JUNE 6, 2025

Most businesses begin their quest for a new data warehouse or analytics platform with Azure Synapse Analytics and Snowflake. Massively parallel processing (MPP) is a feature of these two services that makes it simple to distribute data computation among cloud nodes. It comes as no surprise that these two choices are often compared.

Big Data 40

Big Data Project Data Warehouse Data Lake 40

Precisely

JANUARY 9, 2025

Then came Big Data and Hadoop! The traditional data warehouse was chugging along nicely for a good two decades until, in the mid to late 2000s, enterprise data hit a brick wall. The big data boom was born, and Hadoop was its poster child.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

Analytics Vidhya

FEBRUARY 28, 2023

To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

Data Science 290

Data Science Data Preparation Big Data Data 290

ProjectPro

JUNE 6, 2025

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka - Which one is a better message broker? Table of Contents Kafka vs. RabbitMQ - An Overview What is RabbitMQ?

Kafka 72

Kafka Java Big Data Architecture 72

InData Labs

APRIL 10, 2025

BI for retail allows companies to leverage Big data analytics and machine learning techniques to extract valuable. The retail sector is among the most competitive markets, making it exceptionally difficult for businesses to not only thrive but even survive. How to leverage business intelligence in retail industry InData Labs.

Business Intelligence 82

Business Intelligence Retail BI Big Data 82

ProjectPro

JUNE 6, 2025

Is AWS Athena a Good Choice for your Big Data Project? Athena by Amazon is a powerful query service tool that allows its users to submit SQL statements for making sense of structured and unstructured data. It is a serverless big data analysis tool. Is AWS Athena a Good Choice for your Big Data Project?

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AWS Big Data SQL Raw Data 67

ProjectPro

JUNE 6, 2025

Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever. Big data helps businesses increase operational efficiency, creating a better balance between performance, flexibility, and pricing. billion by 2026? So, how do we overcome this challenge?

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AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

Similarly, companies with vast reserves of datasets and planning to leverage them must figure out how they will retrieve that data from the reserves. A data engineer a technical job role that falls under the umbrella of jobs related to big data. Experience with tools like Snowflake is considered a bonus.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Dive into these exciting AWS DevOps project ideas that can help you gain hands-on experience in the big data industry! AWS DevOps offers an innovative and versatile set of services and tools that allow you to manage, scale, and optimize big data projects. Ready to apply your AWS DevOps knowledge to real-world challenges?

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AWS Project Medical Deep Learning 61

KDnuggets

JUNE 3, 2025

Machine learning pipelines help turn data into predictions. Apache Spark makes it easy to build these pipelines for big data.

Machine Learning 76

Machine Learning Big Data Building IT 76

ProjectPro

JUNE 6, 2025

Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., differ from ETL developer and the additional skills you need to transition from ETL developer to data engineer job roles. Data analysis and visualization have traditionally been a common goal for businesses.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Delta Lake is a game-changer for big data. Lack of unstructured data, less data volume, and lower data flow velocity made data warehouses considerably successful. But, with the advent of Big Data, data warehouses alone could not meet the business needs.

Data Lake 63

Data Lake Data Warehouse Metadata Unstructured Data 63

ProjectPro

JUNE 6, 2025

You will also understand how to apply concepts of data production, orchestration, transformation, storage, governance, ingestion, and deployment techniques essential in every data environment, regardless of the underlying technology. To get the most out of your data, you'll learn how to convert and clean it and perform analytics.

Data Engineering 45

Data Engineering Data Engineer Engineering Lambda Architecture 45

ProjectPro

JUNE 6, 2025

Another reason to use data engineering tools is that they support the process of transforming data. This is important since big data can be structured or unstructured or any other format. Therefore, data engineers need data transformation tools to transform and process big data into the desired format.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

Pinterest Engineering

JULY 11, 2025

Introduction Encouraged by its growing popularity and increasing adoption in the Big Data community, we explored Kubernetes (K8s)-based systems as the most likely replacement for Hadoop 2.x. We conclude with current status and some of our learnings. Figure 7 shows how this applies to MapReduce.

Data Process 57

Data Process Process Hadoop AWS 57

ProjectPro

JUNE 6, 2025

In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Little did anyone know, that this research paper would change, how we perceive and process data. Without much ado, let’s begin with Hadoop explained in detail.

Hadoop 45

Hadoop IT Big Data Retail 45

ProjectPro

JUNE 6, 2025

Proficient working knowledge of these AWS tools is mentioned under essential AWS data engineer skills in almost every data engineer job description. This blog covers the top ten AWS data engineering tools popular among data engineers across the big data industry.

AWS 52

AWS Data Engineering Data Engineer Project 52

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

Whether you are an experienced developer or just a beginner in the big data industry, this guide will ensure your AWS Lambda applications kick off without any hiccups. Suppose an analytics application experiences a cold start or intermittent delays in processing data. It's time to level up your serverless game!

AWS 58

AWS Programming Language Amazon Web Services Media 58

ProjectPro

JUNE 6, 2025

Looking for the best ETL tool in the market for your big data projects ? Explore Talend’s various data integration products, and architecture in-depth to become a Talend professional in 2022. Why Use Talend ETL Tool For Big Data Projects? Why Use Talend ETL Tool For Big Data Projects?

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ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

A good place to start would be to try the Snowflake Real Time Data Warehouse Project for Beginners from the ProjectPro repository. ProjectPro has solved end-to-end Hadoop projects to help you kickstart your Big Data career. 2) Database Management A database management system is the foundation of any data infrastructure.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Become an ETL wizard and demystify the world of data transformation with our detailed blog on How to Learn ETL. So, if you are willing to build a successful big data career, this is the perfect ETL tutorial for you! Imagine an organization gathering heaps of data daily, like sales figures, customer data, and product inventory.

ETL Tools 45

ETL Tools AWS Big Data Data Validation 45

ProjectPro

JUNE 6, 2025

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. Begin Your Big Data Journey with ProjectPro's Project-Based PySpark Online Course !

Hadoop 45

Hadoop Java Big Data Tools SQL 45

ProjectPro

JUNE 6, 2025

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization Dockerfile A dockerfile is like a ‘requirements.txt’ file of a data science project , and it contains the list of steps that one must follow to create a Docker Image. times in five years.”

Data Science 58

Data Science Machine Learning Big Data Deep Learning 58

ProjectPro

JUNE 6, 2025

It is the process of consuming data from multiple sources and transferring it into a destination database or data warehouse where you can perform data transformations and analytics. The key to understanding data ingestion is the 3Vs framework of big data - Volume, Velocity, and Variety of data being ingested.

Data Ingestion 45

Data Ingestion Data Engineering Data Engineer Project 45

ProjectPro

JUNE 6, 2025

Top 10 ETL Pipeline Interview Questions You Must Prepare Here are the top ten ETL interview questions for every big data professional to understand the use of ETL in big data applications. Master data analytics skills with unique big data analytics mini projects with source code.

Data Engineering 45

Data Engineering Data Engineer ETL Tools Data Mining 45

ProjectPro

JUNE 6, 2025

This blog enlists 10 MongoDB projects that will help you learn about processing big data in a MongoDB database. MongoDB - The What, Why, and How Generally, relational databases offer advanced analytics and integrations because of their SQL support for structured data. Access the project with this source code.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

You are likely to be aware of the two pioneers in data warehouse technologies, Snowflake and Google BigQuery , if you are a big data developer or simply a business owner who takes big data seriously. It's crucial to have the right data warehousing solution for any big data project to be successful.

Data Warehouse 40

Data Warehouse Cloud Google Cloud Big Data 40

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments.

Metadata 84

Metadata SQL Data Warehouse Database 84

ProjectPro

JUNE 6, 2025

The big data analytics market is expected to grow at a CAGR of 13.2 This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Let us now understand why the ETL pipelines hold such great value in Data Science and Analytics.

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