ProjectPro

JUNE 6, 2025

These databases are completely managed by AWS, relieving users of time-consuming activities like server provisioning, patching, and backup. The relational databases- Amazon Aurora , Amazon Redshift, and Amazon RDS use SQL (Structured Query Language) to work on data saved in tabular formats. NoSQL Document Database.

Amazon Web Services 40

Amazon Web Services NoSQL Relational Database AWS 40

ProjectPro

JUNE 6, 2025

It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. Before we get started on exploring some exciting projects on MongoDB, let’s understand what exactly MongoDB offers as a NoSQL Database. MongoDB stores data in collections of JSON documents in a human-readable format.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

Suppose a cloud professional takes a course focusing on using AWS Glue and Apache Spark for ETL (Extract, Transform, Load) processes. Suppose a cloud solutions architect takes a course with hands-on experience with Azure Data Factory and AWS Lambda functions. Ratings/Reviews This course has an overall rating of 4.7

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

Knowledge Hut

NOVEMBER 16, 2023

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. AWS certification helps you reach new heights in your career with improved pay and job opportunities. What is AWS?

Certification 98

Certification AWS IT Amazon Web Services 98

ProjectPro

JUNE 6, 2025

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. Data engineers should also possess practical knowledge using diverse cloud platforms like AWS, Azure or GCP. These individuals make the connection between data and software.

Engineering 75

Engineering Deep Learning Software Engineer Software Engineering 75

ProjectPro

JUNE 6, 2025

He is an expert SQL user and is well in both database management and data modeling techniques. On the other hand, a Data Engineer would have similar knowledge of SQL, database management, and modeling but would also balance those out with additional skills drawn from a software engineering background.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Looking to master SQL? Begin your SQL journey with confidence! This all-inclusive guide is your roadmap to mastering SQL, encompassing fundamental skills suitable for different experience levels and tailored to specific job roles, including data analyst, business analyst, and data scientist. But why is SQL so essential in 2023?

SQL 40

SQL Relational Database Business Analyst Database 40

ProjectPro

JUNE 6, 2025

The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. SQL Proficiency It is essential to be proficient in SQL, also known as "structured query language," if you want to work as a data modeler. What does a Data Modeler do?

NoSQL 40

NoSQL ETL Tools Certification SQL 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., AWS, Azure, GCP , etc.,

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

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

Cloud computing skills, especially in Microsoft Azure, SQL , Python , and expertise in big data technologies like Apache Spark and Hadoop, are highly sought after. by ingesting raw data into a cloud storage solution like AWS S3. Store raw data in AWS S3, preprocess it using AWS Lambda, and query structured data in Amazon Athena.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

There are several ways of interacting with such databases and most of them are based on Structured Query Language (SQL). 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.

Data Engineer 40

Data Engineer Data Engineering Python Engineering 40

ProjectPro

JUNE 6, 2025

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. They are skilled in programming languages like Python , SQL , or Scala and work with tools like Apache Spark , Talend, Informatica, or Apache Airflow.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

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

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. NoSQL, for example, may not be appropriate for message queues. When is it appropriate to use a NoSQL database? When working with large amounts of data, NoSQL databases are an excellent choice.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

How would you create a Data Model using SQL commands? 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? What is the difference between Amazon DynamoDB and other NoSQL databases?

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Depending on the demands for data storage, businesses can use internal, public, or hybrid cloud infrastructure, including AWS , Azure , GCP , and other popular cloud computing platforms. You can gain automatic and immediate scalability with single-digit millisecond reads and writes and 99.999 percent availability for NoSQL data.

Data Engineer 40

Data Engineer Data Engineering PostgreSQL Engineering 40

ProjectPro

JUNE 6, 2025

Data Engineers usually opt for database management systems for database management and their popular choices are MySQL, Oracle Database, Microsoft SQL Server, etc. and is accessed by data engineers with the help of NoSQL database management systems. as they are required for processing large datasets.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

A relational database organizes data into tables with rows and columns, leveraging SQL (Structured Query Language) to handle relationships through joins and foreign keys. It is optimized for high scalability, reliability, and seamless integration with other AWS services. Is graph database SQL or NoSQL?

Database 40

Database Database-centric Relational Database MongoDB 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 Engineer 40

Data Engineer Data Engineering Recruitment Engineering 40

ProjectPro

JUNE 6, 2025

Additionally, expertise in specific Big Data technologies like Hadoop, Spark, or NoSQL databases can command higher pay. NoSQL Databases: Familiarize yourself with NoSQL databases like Apache Cassandra, HBase, or MongoDB designed to handle large volumes of unstructured data efficiently.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

AWS is the world's largest cloud database service provider by revenue, coming to this leading position barely a decade after the first of these services were introduced," says the Magic Quadrant for Cloud Database Management Systems report (Dec 2022). billion by the end of 2030, growing at a rapid CAGR of more than 14.80%.

Database 40

Database Technology Cloud PostgreSQL 40

ProjectPro

JUNE 6, 2025

Some excellent cloud data warehousing platforms are available in the market- AWS Redshift, Google BigQuery , Microsoft Azure , Snowflake , etc. It provides powerful query capabilities for running SQL queries to access and analyze data. Users can also use the BigQuery web UI to run queries, load data, stream data, etc.

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

ProjectPro

JUNE 6, 2025

E.g. AWS Cloud Connect. Key management and storage are implementation-dependent and not provided by AWS. Compute Optimised Instances use the AWS Nitro system, which combines dedicated hardware and lightweight hypervisors. They get used in NoSQL databases like Redis, MongoDB , data warehousing.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

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 Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

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

ProjectPro

JUNE 6, 2025

Based on scalability, performance, and data structure, data is stored in suitable storage systems, such as relational databases, NoSQL databases, or data lakes. AWS Glue: AWS Glue is a fully managed ETL service on Amazon Web Services that simplifies data preparation, cataloging, and transformation without needing infrastructure management.

Data Science 40

Data Science Building Data Lake AWS 40

ProjectPro

JUNE 6, 2025

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. What is data modeling?

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications. Spark can integrate with Apache Cassandra to process data stored in this NoSQL database. Spark can connect to relational databases using JDBC, allowing it to perform operations on SQL databases.

Hadoop 68

Hadoop Metadata Java Datasets 68

DoorDash Engineering

MARCH 21, 2023

Upscaling using the native AWS ElastiCache consumed extra CPU, and that caused latencies to increase, resulting in an indeterminate amount of time required to complete a run. Sometimes restoring backups would fail due to a lack of AWS instance types so we would need to contact AWS support and try again. Using 63 m6i.8xlarge

Machine Learning 132

Machine Learning AWS Database NoSQL 132

ProjectPro

JUNE 6, 2025

You must have good knowledge of the SQL and NoSQL database systems. SQL is the most popular database language used in a majority of organizations. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases. You should also look to master at least one programming language.

Big Data 40

Big Data Data Engineer Data Engineering 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.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Data from data warehouses is queried using SQL. Build Professional SQL Projects for Data Analysis with ProjectPro Data Marts: Data Marts may be segregated based on enterprise departments and store information related to a specific function of an organization. This layer should support both SQL and NoSQL queries.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. 1) Currently available on AWS only. (2) That Was Then.

Cloud 97

Cloud Data Warehouse NoSQL Machine Learning 97

ProjectPro

JUNE 6, 2025

Knowledge of SQL statements is required. Exam Duration: 60 minutes Certification Exam Cost: $100 USD AWS Big Data Certifications Here is one of the most widely recognized AWS big data certifications - Amazon Web Services Big Data Specialty Certification. Familiarity with scripting languages like PERL or RUBY is expected.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

A solid understanding of SQL is also essential to manage, access, and manipulate data from relational databases. Previous expertise in database architecture, development, or similar domains Knowledge of relational databases such as MySQL, Oracle, and SQL Server Basic data analytics, management, design, and operating systems skills.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

AWS , GCP , and Microsoft Azure are three of the most popular cloud platforms today, and experience with these cloud platforms is mandatory for most MLOps job listings. The types of databases you use might differ based on your company, so make sure to learn to work with both SQL and NoSQL databases. PREVIOUS NEXT <

Engineering 49

Engineering Machine Learning Data Science Software Engineer 49