ProjectPro

JUNE 6, 2025

If you are planning to make a career transition into data engineering and want to know how to become a data engineer, this is the perfect place to begin your journey. Beginners will especially find it helpful if they want to know how to become a data engineer from scratch. Table of Contents What is a Data Engineer?

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

This guide is your roadmap to building a data lake from scratch. We'll break down the fundamentals, walk you through the architecture, and share actionable steps to set up a robust and scalable data lake. Traditional data storage systems like data warehouses were designed to handle structured and preprocessed data.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

In the thought process of making a career transition from ETL developer to data engineer job roles? 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 Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

AltexSoft

MAY 12, 2023

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JUNE 6, 2025

In recent years, you must have seen a significant rise in businesses deploying data engineering projects on cloud platforms. These businesses need data engineers who can use technologies for handling data quickly and effectively since they have to manage potentially profitable real-time data.

Data Engineer 40

Data Engineer Data Engineering Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

Data preparation for machine learning algorithms is usually the first step in any data science project. It involves various steps like data collection, data quality check, data exploration, data merging, etc. This blog covers all the steps to master data preparation with machine learning datasets.

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Data Preparation Machine Learning Project IT 45

ProjectPro

JUNE 6, 2025

Today, businesses use traditional data warehouses to centralize massive amounts of raw data from business operations. Amazon Redshift is helping over 10000 customers with its unique features and data analytics properties. Table of Contents AWS Redshift Data Warehouse Architecture 1. Client Applications 2.

Data Pipeline 64

Data Pipeline AWS Project Building 64

ProjectPro

JUNE 6, 2025

Cloud computing is the future, given that the data being produced and processed is increasing exponentially. As per the March 2022 report by statista.com, the volume for global data creation is likely to grow to more than 180 zettabytes over the next five years, whereas it was 64.2 Is AWS Athena a Good Choice for your Big Data Project?

AWS 67

AWS SQL Big Data Raw Data 67

ProjectPro

JUNE 6, 2025

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Hevo

FEBRUARY 23, 2025

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

Rockset

NOVEMBER 1, 2018

Over a decade after the inception of the Hadoop project, the amount of unstructured data available to modern applications continues to increase. This longevity is a testament to the community of analysts and data practitioners who are familiar with SQL as well as the mature ecosystem of tools around the language.

Raw Data 40

Raw Data SQL Unstructured Data NoSQL 40

Hevo

FEBRUARY 23, 2025

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

ProjectPro

JUNE 6, 2025

Do ETL and data integration activities seem complex to you? 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 Businesses are leveraging big data now more than ever.

AWS 66

AWS Scala Metadata Data Lake 66

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. Is big data developer in demand?

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Traditional ETL processes have long been a bottleneck for businesses looking to turn raw data into actionable insights. Amazon, which generates massive volumes of data daily, faced this exact challenge. Zero ETL enables direct data querying in systems like Amazon Aurora, bypassing the need for time-consuming data preparation.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

ProjectPro

JUNE 6, 2025

The global data analytics market is expected to reach 68.09 Businesses are finding new methods to benefit from data. Data engineering entails building data pipelines for ingesting, modifying, supplying, and sharing data for analysis. Table of Contents ETL vs ELT for Data Engineers What is ETL? What is ELT?

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

A data science pipeline represents a systematic approach to collecting, processing, analyzing, and visualizing data for informed decision-making. Data science pipelines are essential for streamlining data workflows, efficiently handling large volumes of data, and extracting valuable insights promptly.

Data Science 40

Data Science Building AWS Data Lake 40

ProjectPro

JUNE 6, 2025

This blog will help you understand what data engineering is with an exciting data engineering example, why data engineering is becoming the sexier job of the 21st century is, what is data engineering role, and what data engineering skills you need to excel in the industry, Table of Contents What is Data Engineering?

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Building a batch pipeline is essential for processing large volumes of data efficiently and reliably. Are you ready to step into the heart of big data projects and take control of data like a pro? Are you ready to step into the heart of big data projects and take control of data like a pro?

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? No, that is not the only job in the data world. 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

Edureka

MAY 8, 2025

These are the ways that data engineering improves our lives in the real world. The field of data engineering turns unstructured data into ideas that can be used to change businesses and our lives. Data engineering can be used in any way we can think of in the real world because we live in a data-driven age.

Data Engineering 52

Data Engineering Data Engineer Engineering Telecommunication 52

ProjectPro

JUNE 6, 2025

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. What is Business Intelligence?

Business Intelligence 56

Business Intelligence BI Data Mining Raw Data 56

ProjectPro

JUNE 6, 2025

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer? Who is a Big Data Engineer?

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

According to IDC, 80% of the world’s data, primarily found on the web, will be unstructured." This explosive growth in online content has made web scraping essential for gathering data, but traditional scraping methods face limitations in handling unstructured information. Let's get started!

Project 40

Project Unstructured Data Raw Data Python 40

ProjectPro

JUNE 6, 2025

Whether you are a data engineer, BI engineer , data analyst, or an ETL developer , understanding various ETL use cases and applications can help you make the most of your data by unleashing the power and capabilities of ETL in your organization. You have probably heard the saying, "data is the new oil".

BI 45

BI ETL Tools Retail Healthcare 45

ProjectPro

JUNE 6, 2025

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Struggling to handle messy data silos? Fear not, data engineers! This blog is your roadmap to building a data integration bridge out of chaos, leading to a world of streamlined insights. That's where data integration comes in, like the master blacksmith transforming scattered data into gleaming insights.

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

ProjectPro

JUNE 6, 2025

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Why is Data Engineering In Demand?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 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? Dice Tech Jobs report 2020 indicates Data Engineering is one of the highest in-demand jobs worldwide.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 105

Engineering Raw Data Scala Machine Learning 105

ProjectPro

JUNE 6, 2025

Discover different types of LLM data analysis agents, learn how to build your own, and explore the steps on how to create an LLM-powered data analysis agent that processes market data, analyzes trends, and generates valuable insights for cryptocurrency traders and investors. But how do you build one? Let’s get into it!

Data Analysis 40

Data Analysis Building Raw Data Datasets 40

Towards Data Science

MAY 3, 2023

Data Engineering Learn about slow change dimensions (SCD) and how to implement SCD Type 2 in VDK Photo by Joshua Sortino on Unsplash Data is the backbone of any organization, and in today’s fast-paced world, it is crucial to keep track of its versions. They store and manage current and historical data in a data warehouse.

Data Lake 98

Data Lake Data SQL Data Warehouse 98

ProjectPro

JUNE 6, 2025

Data wrangling is as essential to the data science process as the sun is important for plants to complete the process of photosynthesis. Data wrangling involves extracting the most valuable information from the data per a business's objectives and requirements. Table of Contents What is Data Wrangling in Data Science?

Raw Data 58

Raw Data Programming Language Unstructured Data Datasets 58

ProjectPro

JUNE 6, 2025

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake? Is Hadoop a data lake or data warehouse?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Knowledge Hut

JANUARY 18, 2024

Speaking of job vacancies, the two careers have high demands till date and in upcoming years are Data Scientist and a Software Engineer. Per the BLS, the expected growth rate of job vacancies for data scientists and software engineers is around 22% by 2030. What is Data Science? Get to know more about SQL for data science.

Software Engineer 97

Software Engineer Software Engineering Data Science Engineering 97

ProjectPro

JUNE 6, 2025

Navigating the complexities of data engineering can be daunting, often leaving data engineers grappling with real-time data ingestion challenges. Our comprehensive guide will explore the real-time data ingestion process, enabling you to overcome these hurdles and transform your data into actionable insights.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Becoming a data engineer can be challenging, but we are here to make the journey easier. In this blog, we have curated a list of the best data engineering courses so you can master this challenging field with confidence. Say goodbye to confusion and hello to a clear path to data engineering expertise!

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45