ProjectPro

JUNE 6, 2025

With a CAGR of 30%, the NoSQL Database Market is likely to surpass USD 36.50 Businesses worldwide are inclining towards analytical solutions to optimize their decision-making abilities based on data-driven techniques. Two of the most popular NoSQL database services available in the industry are AWS DynamoDB and MongoDB.

NoSQL 40

NoSQL MongoDB Database Amazon Web Services 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 Big Data 52

ProjectPro

JUNE 6, 2025

A study by Flexera found that , 80% of organisations have migrated some of their workloads to the cloud, with most of those migrations taking place on AWS. AWS is a popular choice among organisations for cloud migrations, and hence having an efficient AWS Cloud Migration Project plan is crucial for a smooth and successful migration.

AWS 40

AWS Cloud Project Big Data 40

ProjectPro

JUNE 6, 2025

“AWS Lambda is a game changer. A survey by RightScale found that , 70% of organizations use AWS Lambda for serverless computing. Cloudability’s survey found that on average the AWS Lambda Function is invoked every second with number of AWS Lambda functions invocations grow to 400% in 2021.

AWS 40

AWS Retail MySQL Big Data 40

ProjectPro

JUNE 6, 2025

In any ETL workflow, Amazon AWS ETL tools are essential. This blog will explore the three best AWS ETL tools—AWS Kinesis, AWS Glue, and AWS Data Pipeline- and some of their significant features. You can add streaming data to your Redshift cluster using AWS Kinesis.

ETL Tools 40

ETL Tools AWS Data Engineer Data Engineering 40

ProjectPro

JUNE 6, 2025

Let’s assume you are a data engineer who wants to create an AWS Lambda function that ingests data from an Amazon S3 bucket, processes it using an Amazon Glue job, and stores the results in an Amazon Redshift data warehouse. Table of Contents What is AWS CDK? How Does AWS CDK Work?

AWS 40

AWS Cloud Management Programming Language 40

ProjectPro

JUNE 6, 2025

AWS Lambda, a powerful compute service that allows you to run code without the need to provision or manage servers. This is where AWS Lambda comes in. With AWS Lambda, you can run code in response to events such as changes to data in an Amazon S3 bucket, updates to a DynamoDB table, or even HTTP requests.

AWS 40

AWS Amazon Web Services Programming Language Big Data 40

ProjectPro

JUNE 6, 2025

The AWS Big Data Analytics Certification exam holds immense significance for professionals aspiring to demonstrate their expertise in designing and implementing big data solutions on the AWS platform. In this blog, we will dive deep into the details of AWS Big Data Certification.

Big Data 40

Big Data Certification AWS Hadoop 40

ProjectPro

JUNE 6, 2025

That’s where AWS Cloudwatch comes into picture. A single tool for tracking all your resources and applications on multiple platforms? AWS CloudWatch is the ideal monitoring and logging tool for all your data, applications, and resources deployed on AWS or any other platform!

AWS 40

AWS Amazon Web Services Big Data Utilities 40

ProjectPro

JUNE 6, 2025

And, out of these professions, we will focus on the data engineering job role in this blog and list out a comprehensive list of projects to help you prepare for the same. Cloud computing skills, especially in Microsoft Azure, SQL , Python , and expertise in big data technologies like Apache Spark and Hadoop, are highly sought after.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

If you’re worried about cracking your next AWS DevOps job interview, then you’re at the right place. This blog covers some of the frequently asked AWS DevOps engineer interview questions. AWS DevOps is quickly becoming the industry standard for software developers worldwide. Is AWS important for DevOps?

AWS 40

AWS Amazon Web Services Cloud Computing Coding 40

ProjectPro

JUNE 6, 2025

Just as a chef extracts ingredients, transforms them into delicious dishes, and loads them onto plates, ETL professionals extract data, transform it into a usable format, and load it into databases for analysis. While ETL can be complex for massive data sets, there are tools and frameworks to simplify the process.

ETL Tools 45

ETL Tools AWS Big Data Data Validation 45

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! 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

AWS 98

AWS Scala Metadata Data Lake 98

ProjectPro

JUNE 6, 2025

The role of a data engineer is to use tools for interacting with the database management systems. And one of the most popular tools, which is more popular than Python or R , is SQL. And data engineers are the ones that are likely to lead the whole process. for working on cloud data warehouses.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

Graduating from ETL Developer to Data Engineer Career transitions come with challenges. Suppose you are already working in the data industry as an ETL developer. You can easily transition to other data-driven jobs such as data engineer , analyst, database developer, and scientist.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Gaining such expertise can streamline data processing, ensuring data is readily available for analytics and decision-making. Suppose a cloud professional takes a course focusing on using AWS Glue and Apache Spark for ETL (Extract, Transform, Load) processes.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

Amazon Sagemaker is an end-to-end, fully-managed service on the AWS cloud for machine learning workflows. This article discusses a reliable ML platform, Amazon Sagemaker, 10 project templates for Sagemaker projects, and data science ideas you can try with Sagemaker. Customer Churn Prediction with SageMaker Studio XGBoost Algorithm 2.

Project 45

Project AWS Algorithm Machine Learning 45

Knowledge Hut

DECEMBER 27, 2023

Variety : Refers to the professed formats of data, from structured, numeric data in traditional databases, to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions. Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JUNE 6, 2025

The field of data engineering is focused on ensuring that data is accessible, reliable, and easily processed by other teams within an organization, such as data analysts and data scientists. It involves various technical skills, including database design, data modeling, and ETL (Extract, Transform, Load) processes.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Preparing for your next AWS cloud computing interview? Here’s the perfect resource for you- a list of top AWS Solutions Architect interview questions and answers! As the numerous advantages of cloud computing are gaining popularity, more and more businesses and individuals worldwide are starting to use the AWS platform.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40

ProjectPro

JUNE 6, 2025

Additionally, expertise in specific Big Data technologies like Hadoop, Spark, or NoSQL databases can command higher pay. Larger organizations and those in industries heavily reliant on data, such as finance, healthcare, and e-commerce, often pay higher salaries to attract top Big Data talent.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline? Features of a Data Pipeline Data Pipeline Architecture How to Build an End-to-End Data Pipeline from Scratch? Consequently, data stored in various databases lead to data silos -- big data at rest.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

ProjectPro

JUNE 6, 2025

A Master’s degree in Computer Science, Information Technology, Statistics, or a similar field is preferred with 2-5 years of experience in Software Engineering/Data Management/Database handling is preferred at an intermediate level. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

It is suitable in scenarios where data needs to be collected from different systems, transformed, and loaded into a central repository. AWS Data Pipeline AWS Data Pipeline is a cloud-based service by Amazon Web Services (AWS) that simplifies the orchestration of data workflows.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Streaming data ingestion involves processing and loading data in near real-time, making it ideal for scenarios requiring immediate data availability and processing, like financial transactions or IoT sensor data streams. They also enhance the data with customer demographics and product information from their databases.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

Its standard library supports easy handling of.csv files, one of the most common data file formats. A data engineer is often required to use APIs to retrieve data from databases. The responsibility of a data engineer is not only to obtain data from different sources but also to process it.

Data Engineer 40

Data Engineer Data Engineering Python Engineering 40

ProjectPro

JUNE 6, 2025

Using connectors and plugins, BigQuery ML can import and ingest data from SAP, Informatica, and Confluent, among the other primary file types. With it's seamless connections to AWS and Azure , BigQuery Omni offers multi-cloud analytics. Strong governance and compliance features are also available. PREVIOUS NEXT <

Data Warehouse 40

Data Warehouse Cloud Google Cloud Big Data 40

ProjectPro

JUNE 6, 2025

Before diving straight into the projects, let us understand the significance of working on cloud computing projects for big data professionals. You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

If you have heard about cloud computing , you would have heard about Microsoft Azure as one of the leading cloud service providers in the world, along with AWS and Google Cloud. As of 2023, Azure has ~23% of the cloud market share, second after AWS, and it is getting more popular daily. What is an Azure SQL database?

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. Differentiate between relational and non-relational database management systems. SQL works on data arranged in a predefined schema.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

A data architect, in turn, understands the business requirements, examines the current data structures, and develops a design for building an integrated framework of easily accessible, safe data aligned with business strategy. Table of Contents What is a Data Architect Role?

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Data engineering beats some of the most popular IT jobs for emerging career opportunities. According to a 2019 Dice Insights report, data engineers are the trendiest IT job category, knocking off computer scientists, web designers, and database architects. such as Python/R, Hadoop, AWS, Azure, SQL/NoSQL , etc.

Data Engineer 40

Data Engineer Data Engineering Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Talend Big Data The Talend Big Data product makes it easy to automate big data integration using wizards and graphical tools. Three databases: one for audit data, one for activity monitoring, and one for administration metadata. How does Talend ETL Tool Work? What’s next?

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

When it comes to data ingestion pipelines, PySpark has a lot of advantages. PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

Enterprise Data Warehouse (EDW): Enterprise data warehouse is a centralized warehouse that provides decision-making support services across the enterprise. EDWs are often a collection of databases that provide a unified approach to classify and organize data according to the subject. What is ODS?

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

ProjectPro

JUNE 6, 2025

Physical data model- The physical data model includes all necessary tables, columns, relationship constraints, and database attributes for physical database implementation. A physical model's key parameters include database performance, indexing approach, and physical storage. It makes data more accessible.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53