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

Data is often referred to as the new oil, and just like oil requires refining to become useful fuel, data also needs a similar transformation to unlock its true value. This transformation is where data warehousing tools come into play, acting as the refining process for your data. Practice makes a man perfect!

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

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

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

The relational databases- Amazon Aurora , Amazon Redshift, and Amazon RDS use SQL (Structured Query Language) to work on data saved in tabular formats. Amazon DynamoDB is a NoSQL database that stores data as key-value pairs. NoSQL Document Database. Data Model Structured data with tables and columns.

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

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. But cloud alone doesn’t solve all the problems. A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery.

Cloud 89

Cloud Banking Kafka NoSQL 89

ProjectPro

JUNE 6, 2025

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. IDC also forecasts that Big Data Analytics market will outpour from $3.2 The matured usage of NoSQL in big data analysis will drive the NoSQL market as it gains momentum.

Big Data 40

Big Data Data Analysis NoSQL Deep Learning 40

ProjectPro

JUNE 6, 2025

Decide the process of Data Extraction and transformation, either ELT or ETL (Our Next Blog) Transforming and cleaning data to improve data reliability and usage ability for other teams from Data Science or Data Analysis. Dealing With different data types like structured, semi-structured, and unstructured data.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Storage Layer: This is a centralized repository where all the data loaded into the data lake is stored. HDFS is a cost-effective solution for the storage layer since it supports storage and querying of both structured and unstructured data. Insights from the system may be used to process the data in different ways.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

To enhance business alignment, maintain data quality, and facilitate integration, Erwin Data Modeler streamlines and standardizes model design tasks, including complicated queries. Consolidate and develop hybrid architectures in the cloud and on-premises, combining conventional, NoSQL, and Big Data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Microsoft Azure is one of the most rapidly expanding and popular cloud service providers. 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.

Data Lake 40

Data Lake Amazon Web Services Data Warehouse SQL 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 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.

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

Experts predict that by 2025, the global big data and data engineering market will reach $125.89 billion, and those with skills in cloud-based ETL tools and distributed systems will be in the highest demand. As more organizations shift to the cloud, the demand for ETL engineers with expertise in these platforms is soaring.

Data Engineering 40

Data Engineering Data Engineer Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

” AWS DocumentDB is a fully managed, NoSQL database service provided by Amazon Web Services (AWS). This popular open-source NoSQL database makes it an ideal choice for applications that require the flexibility of a document database while benefiting from AWS's scalability, reliability, and management features. While DocumentDB 4.0

AWS 40

AWS Database MongoDB Management 40

ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

Here are several examples: Security architects design and implement security practices to ensure data confidentiality, integrity, and availability. Cloud Architect stays up-to-date with data regulations, monitors data accessibility, and expands the cloud infrastructure as needed.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Table of Contents What are Data Engineering Tools? 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?

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

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

Showcase Your Data Engineering Skills with ProjectPro's Complete Data Engineering Certification Course ! Google Trends shows the large-scale demand and popularity of Big Data Engineer compared with other similar roles, such as IoT Engineer, AI Programmer, and Cloud Computing Engineer. Who is a Big Data Engineer?

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Whether you are a cloud enthusiast or an IT pro aiming to climb up the big data career ladder, this blog will help discover the perfect Microsoft Azure certification path to success. Azure is one of the world's most popular cloud computing platforms, and its popularity will only grow in the future.

Certification 40

Certification Cloud Cloud Computing SQL 40

ProjectPro

JUNE 6, 2025

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 40

Big Data Hadoop Relational Database AWS 40

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. SQL works on data arranged in a predefined schema. Non-relational databases support dynamic schema for unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

"Data modelers are like architects who design and plan the structure of a building before it's constructed. Kickstart your data engineer career with end-to-end solved big data projects for beginners. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools SQL Certification 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

These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. These Apache Spark projects are mostly into link prediction, cloud hosting, data analysis, and speech analysis. Data Migration RDBMSs were inefficient and failed to manage the growing demand for current data.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Storage And Persistence Layer Once processed, the data is stored in this layer. Stream processing engines often have in-memory storage for temporary data, while durable storage solutions like Apache Hadoop, Amazon S3, or Google Cloud Storage serve as repositories for long-term storage of processed data.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

Characteristics of a Data Science Pipeline Data Science Pipeline Workflow Data Science Pipeline Architecture Building a Data Science Pipeline - Steps Data Science Pipeline Tools 5 Must-Try Projects on Building a Data Science Pipeline Master Building Data Pipelines with ProjectPro!

Data Science 40

Data Science Building AWS Data Lake 40

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). 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

Its design allows it to run in a variety of environments, including embedded or distributed cloud environments. Furthermore, because it is a cloud-hosted database, it is simple to host or deploy because SurrealDB can be deployed anywhere, including the SurrealDB Cloud.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Striim

MARCH 4, 2025

Holistic Coverage: Operates flawlessly across SaaS, cloud, and external systems, providing complete visibility into your data environment. Automated Categorization: Instantly classifies financial, healthcare, and personal identity information, delivering real-time insights into data security.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

AltexSoft

MAY 14, 2021

It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. With the ETL approach, data transformation happens before it gets to a target repository like a data warehouse, whereas ELT makes it possible to transform data after it’s loaded into a target system.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database Management NoSQL Relational Database 52

Rockset

JUNE 7, 2022

On the other hand, non-relational databases (commonly referred to as NoSQL databases) are flexible databases for big data and real-time web applications. These databases were born out of necessity for storing large amounts of unstructured data. There are many NoSQL databases available in the market.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52