ProjectPro

JUNE 6, 2025

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

Explore the advanced features of this powerful cloud-based solution and take your data management to the next level with this comprehensive guide. A detailed study report by Market Research Future (MRFR) projects that the cloud database market value will likely reach USD 38.6

Database 40

Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Discover the power of the cloud with our step-by-step guide on becoming an AWS Cloud Practitioner. Whether you are a cloud computing beginner or a tech enthusiast, this blog is the pathway to mastering AWS services and transforming your career in cloud computing. So, let us begin!

AWS 40

AWS Cloud Amazon Web Services Cloud Computing 40

ProjectPro

JUNE 6, 2025

Additionally, as more and more companies rely on cloud solutions, there is an urgent need to hire many data engineers to provide essential support to the team of data scientists. Amazon Web Services (AWS), Google Cloud Platform ( GCP ), and Microsoft Azure are the three top-most competitors in cloud computing service platforms.

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

For storing data, use NoSQL databases as they are an excellent choice for keeping massive amounts of rapidly evolving organized/unorganized data. Polyaxon can host and maintain the tool, implemented in any data center or cloud provider. AWS (Amazon Web Services) is the cloud provider in this project.

Machine Learning 58

Machine Learning Building Amazon Web Services Deep Learning 58

ProjectPro

JUNE 6, 2025

You might need to use a cloud platform to do this, so in depth knowledge of these platforms is recommended. A data engineer is expected to be adept at using ETL (Extract, Transform and Load) tools and be able to work with both SQL and NoSQL databases. Upon deployment, customers and end-users will be able to use your chatbot.

Engineering 75

Engineering Deep Learning Software Engineer Software Engineering 75

Knowledge Hut

NOVEMBER 16, 2023

One of the biggest challenges faced by corporations today when it comes to cloud adoption is the lack of cloud expertise. There is a clear shortage of professionals certified with Amazon Web Services (AWS). As far as AWS certifications are concerned, there is always a certain debate surrounding them. What is AWS?

AWS 98

AWS Certification IT Amazon Web Services 98

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. Over the past year, we’ve not only added Azure as a supported cloud platform, but we have improved the orginal services while growing the CDP-PC family significantly: Improved Services.

Cloud 97

Cloud Data Warehouse NoSQL AWS 97

ProjectPro

JUNE 6, 2025

He emphasizes on the relevance of AWS Redshift for AWS Users while acknowledging the growing popularity of BigQuery and Snowflake. AWS Redshift Features Columnar Storage: Amazon Redshift uses columnar storage, which is highly efficient for analytical queries. Seamless integration with AWS services and tools.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. to achieve scalability in their web applications and cloud management at a massive scale. These include location-oriented services for geospatial, cloud , and synchronization services.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

Candidates should focus on Data Modelling , ETL Processes, Data Warehousing, Big Data Technologies, Programming Skills, AWS services, data processing technologies, and real-world problem-solving scenarios. Regularly monitoring and auditing AWS CloudTrail logs helps promptly identify any unauthorized access or suspicious activities.

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

These databases are completely managed by AWS, relieving users of time-consuming activities like server provisioning, patching, and backup. Amazon DynamoDB is a NoSQL database that stores data as key-value pairs. NoSQL Document Database. Data Model Structured data with tables and columns. Semi-structured data in JSON format.

Amazon Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Top 10+ Tools For Data Engineers Worth Exploring in 2025 Cloud-Based Data Engineering Tools Data Engineering Tools in AWS Data Engineering Tools in Azure FAQs on Data Engineering Tools What are Data Engineering Tools? Database tools/frameworks like SQL, NoSQL , etc., Table of Contents What are Data Engineering Tools?

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Cloud computing skills, especially in Microsoft Azure, SQL , Python , and expertise in big data technologies like Apache Spark and Hadoop, are highly sought after. This project builds a comprehensive ETL and analytics pipeline, from ingestion to visualization, using Google Cloud Platform.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

This layer should support both SQL and NoSQL queries. Kafka streams, consisting of 500,000 events per second, get ingested into Upsolver and stored in AWS S3. Reasons Why ETL Professionals Should Learn Hadoop Hadoop Ecosystem Components And Its Architecture OpenStack vs AWS - Is AWS using OpenStack?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. Source: LinkedIn The rise of cloud computing has further accelerated the need for cloud-native ETL tools , such as AWS Glue , Azure Data Factory , and Google Cloud Dataflow. Who is an ETL Data Engineer?

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout. Cloud Computing Every business will eventually need to move its data-related activities to the cloud. And data engineers will likely gain the responsibility for the entire process.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

Data Engineering Podcast

APRIL 22, 2019

FaunaDB is a cloud native database built by the engineers behind Twitter’s infrastructure and designed to serve the needs of modern systems. By transparently pulling data from underlying silos, Alluxio unlocks the value of your data and allows for modern computation-intensive workloads to become truly elastic and flexible for the cloud.

Database 100

Database Cloud NoSQL Scala 100

ProjectPro

JUNE 6, 2025

The advantage of gaining access to data from any device with the help of the internet has become possible because of cloud computing. The birth of cloud computing has been a boon for many individuals and the whole tech industry. Such exciting benefits of cloud computing have led to its rapid adoption by various companies.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

The other types of databases include key-value, columnar, time-series, NoSQL , etc. To handle NoSQL databases (that do not contain data in rows and columns), data engineers usually use Elasticsearch. Python allows users to manage NoSQL databases with its elasticsearch library.

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

Knowledge Hut

NOVEMBER 7, 2023

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. What Is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JUNE 6, 2025

With over more than one million active customers, AWS RDS is one of the most popular service in the AWS Portfolio used by thousands of organizations to power their relational databses. A key feature of AWS RDS that make it so popular is the ability to choose from a variety of AWS RDS Instances based on specifications and pricing.

PostgreSQL 40

PostgreSQL MySQL AWS Relational Database 40

ProjectPro

JUNE 6, 2025

It involves connectors or agents that capture data in real-time from sources like IoT devices, social media feeds, sensors, or transactional systems using popular ingestion tools like Azure Synapse Analytics , Azure Event Hubs, Apache Kafka, or AWS Kinesis. The data is continually processed while it moves through the pipeline.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

Monte Carlo

OCTOBER 31, 2024

Both traditional and AI data engineers should be fluent in SQL for managing structured data, but AI data engineers should be proficient in NoSQL databases as well for unstructured data management.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

ProjectPro

JUNE 6, 2025

The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. You must have proficient knowledge of database management systems (relational and non-relational databases), such as NoSQL databases, MySQL , Oracle, etc. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools SQL Certification 40

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems.

Cloud 89

Cloud Banking Kafka NoSQL 89

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. NoSQL is great for well understood access patterns. Rick Houlihan Where does NoSQL fit in the modern data stack?

NoSQL 52

NoSQL SQL Database MongoDB 52

ProjectPro

JUNE 6, 2025

Graph Database Examples Let’s now explore the various examples of graph databases, highlighting their unique features, and advantages in managing highly interconnected data - Amazon Neptune Amazon Neptune is a fully managed, serverless graph database service offered by AWS that supports RDF and property graph data models.

Database 40

Database Database-centric Relational Database MongoDB 40

ProjectPro

JUNE 6, 2025

Setting up the cloud to store data to ensure high availability is one of the most critical tasks for big data specialists. Due to this, knowledge of cloud computing platforms and tools is now essential for data engineers working with big data.

Data Engineering 40

Data Engineering Data Engineer PostgreSQL Engineering 40

ProjectPro

JUNE 6, 2025

After software engineers build the application, the DevOps engineer handles deployment, cloud monitoring, database management, and testing. They should understand model deployment on cloud platforms like GCP and have a strong command of automation technologies. Pick one of these platforms and learn to deploy and scale models on them.

Engineering 49

Engineering Machine Learning Data Science Software Engineer 49

ProjectPro

JUNE 6, 2025

Cloud-Enabled Elasticity and Agility: Cloud-enabled elasticity and agility in modern data pipelines allow for dynamic resource scaling, optimizing computational efficiency and cost-effectiveness, fostering rapid experimentation, and iterative model development. It offers high throughput and fault tolerance.

Data Science 40

Data Science Building AWS Data Lake 40

Cloudera

SEPTEMBER 1, 2022

Additionally, a big share of HBase applications are deployed on premises and there’s been an ever-growing need for an easy way to move these applications to the public or hybrid cloud while maintaining enterprise-grade security and governance. Here are the top five reasons why COD is an obvious choice: Built for the cloud.

Database 84

Database Cloud NoSQL SQL 84

ProjectPro

JUNE 6, 2025

Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data. How do you model a set of entities in a NoSQL database using an optimal technique? Amazon Redshift is a cloud-based data warehousing solution that is quick, fully managed, and extends to petabytes.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

With the global cloud data warehousing market likely to be worth $10.42 billion by 2026, cloud data warehousing is now more critical than ever. Cloud data warehouses offer significant benefits to organizations, including faster real-time insights, higher scalability, and lower overhead expenses. What is Google BigQuery Used for?

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

Classification Projects on Machine Learning for Beginners Recommender System Machine Learning Project for Beginners Build a Music Recommendation Algorithm using KKBox's Dataset Build a Text Classification Model with Attention Mechanism NLP Database technologies (SQL, NoSQL, etc.) such as Python/R, Hadoop, AWS, Azure, SQL/NoSQL , etc.

Data Engineering 40

Data Engineering Data Engineer Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Databases (SQL and NoSQL), Data warehouses, and Data lakes Databases (SQL and NoSQL) Understanding database design and SQL Queries, a standard query language for most relational databases (Consisting of Tables formed as rows and columns), is one of the most important skills for any Data Engineer. What are data engineering skills?

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. NoSQL, for example, may not be appropriate for message queues.

Big Data 40

Big Data Hadoop Relational Database AWS 40