Hevo

MAY 24, 2023

Data drives the business world, and a significant amount of that data is unstructured. This implies that traditional relational databases can not cater to the needs of organizations seeking to store and manipulate this unstructured data. NoSQL Databases […]

NoSQL 52

NoSQL Unstructured Data Relational Database Database 52

ProjectPro

JUNE 6, 2025

Get ready for your Netflix Data Engineer interview in 2024 with this comprehensive guide. It's your go-to resource for practical tips and a curated list of frequently asked Netflix Data Engineer Interview Questions and Answers. That's where the role of Netflix Data Engineers comes in. petabytes of data. Interested?

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Big data technologies and practices are gaining traction and moving at a fast pace with novel innovations happening in this space. Big data companies are closely watching the latest trends in big data analytics to gain competitive advantage with the use of data. .”– said Arthur C.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 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

MongoDB Inc offers an amazing database technology that is utilized mainly for storing data in key-value pairs. It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. MongoDB stores data in collections of JSON documents in a human-readable format.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

Data modeling is a crucial skill for every big data professional, but it can be challenging to master. So, if you are preparing for a data modelling interview, you have landed on the right page. We have compiled the top 50 data modelling interview questions and answers from beginner to advanced levels. billion by 2028.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

As the volume and complexity of data continue to grow, selecting the right database technology has become even more critical. which allow users to create relational, graph, wide-column, and other use-case-specific data models. Amazon DynamoDB is a NoSQL database that stores data as key-value pairs.

Amazon Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

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. What does a Big Data Developer do?

Big Data 40

Big Data Hadoop Scala NoSQL 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

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.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 40

ProjectPro

JUNE 6, 2025

Are you interested in becoming a data architect? 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."

Data Architect 40

Data Architect Data Mining Programming Language Java 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

Companies of all sizes rely heavily on data to make strategic decisions. But before this data can be analyzed and utilized, it needs to be organized and structured in a way that is meaningful and useful. This is where data modelers come in. Table of Contents Who is a Data Modeler?

NoSQL 40

NoSQL ETL Tools Certification SQL 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

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. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data.

Hadoop 45

Hadoop Java Big Data Tools SQL 45

ProjectPro

JUNE 6, 2025

Tired of relentlessly searching for the most effective and powerful data warehousing solutions on the internet? This blog is your comprehensive guide to Google BigQuery, its architecture, and a beginner-friendly tutorial on how to use Google BigQuery for your data warehousing activities. Search no more! Did you know ?

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 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

Experts predict that by 2025, the global big data and data engineering market will reach $125.89 With the right tools, mindset, and hands-on experience, you can become a key player in transforming how organizations use data to drive innovation and decision-making. But what does it take to become an ETL Data Engineer?

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

SEPTEMBER 16, 2021

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 52

NoSQL Database Hadoop Big Data 52

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

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.

AWS 40

AWS Database MongoDB Management 40

ProjectPro

JUNE 6, 2025

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

ProjectPro

JUNE 6, 2025

Look no further than the dynamic field of data science! As a business analyst, you already possess some vital skills for a successful data science career. However, becoming a data scientist may require additional learning and development. Due to this high demand and specialized skill set, data science jobs tend to pay well.

Business Analyst 40

Business Analyst Portfolio Data Mining Programming Language 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

“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

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. These services provide scalable, reliable, and cost-effective solutions for businesses and developers.

AWS 40

AWS Database Amazon Web Services MySQL 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

MAY 13, 2015

MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification?

NoSQL 40

NoSQL MongoDB Certification Database 40

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. Since then, it is evolving continuously and changing the big data world.

Hadoop 45

Hadoop IT Big Data Retail 45

AltexSoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Striim

MARCH 4, 2025

Have you ever wondered how the biggest brands in the world falter when it comes to data security? Their breach transformed personal customer data into a commodity traded on dark web forums. They react too slowly, too rigidly, and cant keep pace with the dynamic, sophisticated attacks occurring today, leaving hackable data exposed.

Data Governance 40

Data Governance Government Healthcare NoSQL 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

Workfall

MARCH 21, 2023

Reading Time: 8 minutes Databases are essential in web development for organizing data in various forms and shapes (both structured and unstructured). With these GUIs, we can get a bird’s-eye view of all the data in our database for easy analysis of the schema or data types, as well as general ease of administration.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

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

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. In 2022, data engineering will hold a share of 29.8%

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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. Which Big Data tasks does Spark solve most effectively? How does it work? cost-effectiveness.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98