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

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

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

ProjectPro

JUNE 6, 2025

The 2024 digital revolution has brought about a significant conflict within the technological world - data science vs data engineering! How to Move from Data Engineering to Data Science? Explore ProjectPro to Diversify Your Data Science Portfolio FAQs on Data Science vs Data Engineering What is a data science engineer?

Data Science 52

Data Science Portfolio Programming Language Data 52

ProjectPro

JUNE 6, 2025

Over the past few years, data-related jobs have drastically increased. Previously, the spotlight was on gaining relevant insights from data, but recently, data handling has gained attention. Because of that, data engineer jobs have garnered recognition and popularity.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

U-Next

OCTOBER 20, 2022

The primary goal of data collection is to gather high-quality information that aims to provide responses to all of the open-ended questions. Businesses and management can obtain high-quality information by collecting data that is necessary for making educated decisions. . What is Data Collection?

Data Collection 52

Data Collection Big Data Data Medical 52

AltexSoft

JUNE 26, 2023

All successful companies do it: constantly collect data. While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

Edureka

JULY 18, 2024

The secret sauce is data collection. Data is everywhere these days, but how exactly is it collected? This article breaks it down for you with thorough explanations of the different types of data collection methods and best practices to gather information. What Is Data Collection?

Data Collection 40

Data Collection Media Government Data Science 40

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

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

ProjectPro

JUNE 6, 2025

In an era where data is abundant, and algorithms are aplenty, the MLops pipeline emerges as the unsung hero, transforming raw data into actionable insights and deploying models with precision. This blog is your key to mastering the vital skill of deploying MLOps pipelines in data science.

Building 40

Building Machine Learning Raw Data Data Collection 40

ProjectPro

JUNE 6, 2025

If you are about to start your journey in data analytics or are simply looking to enhance your existing skills, look no further. This blog will provide you with valuable insights, exam preparation tips, and a step-by-step roadmap to ace the AWS Data Analyst Certification exam.

AWS 52

AWS Certification Data Analytics Data Analysis 52

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

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

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

Cloudera

FEBRUARY 21, 2023

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. What is a data transformation?

SQL 111

SQL Kafka Raw Data Data 111

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Technology can help.

Government 119

Government Machine Learning Algorithm Raw Data 119

ProjectPro

JUNE 6, 2025

Using Artificial Intelligence (AI) in the Data Analytics process is the first step for businesses to understand AI's potential. About 48% of companies now leverage AI to effectively manage and analyze large datasets, underscoring the technology's critical role in modern data utilization strategies. from 2022 to 2030.

Data Analytics 40

Data Analytics Healthcare Datasets Data Analysis 40

Knowledge Hut

JANUARY 18, 2024

Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Choose data sets.

Data Science 98

Data Science Data Architect Business Analyst ETL Method 98

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Government 98

ProjectPro

JUNE 6, 2025

Are you looking for data warehouse interview questions and answers to prepare for your upcoming interviews? This guide lists top interview questions on the data warehouse to help you ace your next job interview. The data warehousing market was worth $21.18 What are the different types of data warehouses? million by 2028.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

ProjectPro

JUNE 6, 2025

Managing an end-to-end ML project isn't just about building models; it involves navigating through multiple stages, such as identifying the right problem, sourcing and cleaning data, developing a reliable model, and deploying it effectively. Data collection is about gathering the raw data needed to train and evaluate the model.

Machine Learning 40

Machine Learning Project Building Raw Data 40

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

Worried about building a great data engineer resume ? Read this data engineer resume guide to learn how to write a killer data engineer resume before applying for your next data engineer job. We also have a few tips and guidelines for beginner-level and senior data engineers on how they can build an impressive resume.

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Choosing the right data analysis tools is challenging, as no tool fits every need. This blog will help you determine which data analysis tool best fits your organization by exploring the top data analysis tools in the market with their key features, pros, and cons. Which data analysis software is suitable for smaller businesses?

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

Knowledge Hut

MAY 1, 2024

Data is everywhere, and we have all seen exponential growth in the data that is generated daily. I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. This is where Data Science comes into the picture.

Algorithm 98

Algorithm Raw Data Programming Language Computer Science 98

ProjectPro

JUNE 6, 2025

million trips completed per day - Uber is the company behind the data for moving people and making deliveries hassle-free. Thanks to the large volumes of data Uber collects and the fantastic team that handles Uber Data Analysis using Machine Learning tools and frameworks. Which algorithm does Uber use for Data Analysis?

Machine Learning 45

Machine Learning Data Analysis Project Datasets 45

ProjectPro

JUNE 6, 2025

Ever wondered how implementing data science in marketing can benefit a business? Well, read this blog to learn more about how modern companies leverage data science and machine learning techniques to boost their marketing efforts. Global data generation is likely to reach 463 exabytes per day by 2025.

Data Science 40

Data Science Data Mining Retail Raw Data 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

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

ProjectPro

JUNE 6, 2025

Explore the world of synthetic data generation, from its fundamental concepts and Python implementation to practical applications and essential tools, and discover how it drives innovation across various domains. Issues such as data scarcity, privacy concerns, and biases inherent in collected data pose significant challenges.

Healthcare 40

Healthcare Datasets Medical Machine Learning 40

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Most importantly, these pipelines enable your team to transform data into actionable insights, demonstrating tangible business value.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

ProjectPro

JUNE 6, 2025

Did you know that 79% of top-performing companies say data science directly impacts their supply chain growth and revenue performance? This is one of the compelling findings from the State of Supply Chain Report , showing how important data science and AI have become in reshaping the supply chain industry.

Data Science 40

Data Science Project Management Transportation 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

Knowledge Hut

DECEMBER 26, 2023

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? It’s not just you – turning raw data into something meaningful can be a real challenge. In today’s fast-paced business environment, data-driven insights are the lifeblood of staying ahead.

Raw Data 75

Raw Data Government Utilities Data 75

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