ProjectPro

JUNE 6, 2025

Kickstart your data engineer career with end-to-end solved big data projects for beginners. What does a Data Modeler do? The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

AltexSoft

OCTOBER 8, 2021

What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. The good news is, businesses can choose the path of data integration to make the most out of the available information. Data integration in a nutshell. Data integration process.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JUNE 6, 2025

FAQs on ETL Data Engineer ETL Data Engineer Jobs Market A simple LinkedIn search for "ETL Data Engineer Jobs Market" shows 959 results, highlighting the growing demand for professionals skilled in data integration. It provides data integration , data quality, and data governance capabilities.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

ProjectPro

JUNE 6, 2025

Managing schema evolution effectively ensures seamless data integration and analysis within a data warehousing environment. Discuss the importance of metadata in a data engineering environment. When choosing between different data storage solutions, several key considerations come into play.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

These formats are data models and serve as the foundation for an ETL developer's definition of the tools necessary for data transformation. An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Each part of this triple is uniquely identified, often by a URI (a kind of web address), which helps in connecting and sharing data across different systems. Graph Database Working Graph databases organize and store data in a graph, which consists of vertices (also known as nodes) and edges (connections between nodes).

Database 40

Database Database-centric Relational Database MongoDB 40

Christophe Blefari

OCTOBER 20, 2023

Why data integration will never be fully solved — Anna covers a few data integration tools and tries to explain why this is such a tricky field that have issue to be resolved with only one cloud tool. With synthetic data you can then publicly seek for help among the world's data scientists.

Generalist 130

Generalist Entertainment NoSQL Data 130

ProjectPro

JUNE 6, 2025

Looking for the best ETL tool in the market for your big data projects ? Explore Talend’s various data integration products, and architecture in-depth to become a Talend professional in 2022. Since its launch in 2005, Talend has dominated the market for commercial open-source data integration applications.

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

Collaboration with the Data Science Team Big Data Developers work closely with a big data engineer and a team of data scientists to implement data analytics pipelines. They translate the data science team 's algorithms and models into practical, scalable solutions that handle large-scale data.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

It empowers organizations to analyze vast amounts of data at lightning speed, enabling data-driven insights and informed decision-making. Azure Synapse Analytics can seamlessly integrate data with various data sources and tools, making it a comprehensive solution for data warehousing, data integration , and advanced analytics.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

Suppose a cloud solutions architect takes a course with hands-on experience with Azure Data Factory and AWS Lambda functions. By gaining these skills, they can design data pipelines that collect and store data from Azure and AWS sources, enabling seamless cross-platform data integration for their organization.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

Precisely

DECEMBER 28, 2023

Read our eBook A Data Integrator’s Guide to Successful Big Data Projects This eBook will guide through the ins and outs of building successful big data projects on a solid foundation of data integration.

Data Pipeline 91

Data Pipeline Building Kafka NoSQL 91

ProjectPro

JUNE 6, 2025

A data science pipeline is a structured process that involves gathering raw and unstructured data from multiple sources, processing it through transformations like filtering and aggregating, and storing it in a data warehouse for analysis. Why is a Data Science Pipeline Important?

Data Science 40

Data Science Building Data Lake AWS 40

ProjectPro

JUNE 6, 2025

This is important since big data can be structured or unstructured or any other format. Therefore, data engineers need data transformation tools to transform and process big data into the desired format. Database tools/frameworks like SQL, NoSQL , etc.,

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

The data engineer skill of building data warehousing solutions expects a data engineer to curate data and perform data analysis on that data from multiple sources to support the decision-making process. You can learn more about data warehousing if you work on a challenging real-world problem.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

AltexSoft

MAY 14, 2021

NoSQL databases. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. The “NoSQL” part here stands for “Non-SQL” and “Not Only SQL”. Cassandra is an open-source NoSQL database developed by Apache. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 6, 2025

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

ProjectPro

JUNE 6, 2025

In fact, approximately 70% of professional developers who work with data (e.g., data engineer, data scientist , data analyst, etc.) According to the 8,786 data professionals participating in Stack Overflow's survey, SQL is the most commonly-used language in data science. use SQL, compared to 61.7%

Data Engineer 45

Data Engineer Data Engineering SQL Engineering 45

ProjectPro

JUNE 6, 2025

AWS offers the best serverless cloud data analytics solutions, including solutions for data warehousing, big data solutions, data integration, and much more. Table of Contents Why Learn AWS for Data Engineering? What is Data Engineering?? What is AWS for Data Engineering?

AWS 40

AWS Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Data Management Technologies The role of data architects involves analyzing data based on the company's requirements, reviewing data collection sources, maintaining data accuracy, and ensuring data integrity and quality. Understanding of Data modeling tools (e.g.,

Data Architect 40

Data Architect Data Mining Programming Language Java 40

Striim

MARCH 4, 2025

Automated Categorization: Instantly classifies financial, healthcare, and personal identity information, delivering real-time insights into data security. Quality Oversight: Monitors data integrity continuously, alerting teams when sensitive data appears where it shouldnt.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

Rockset

JUNE 7, 2022

They usually have a fixed schema, strict data types and formally-defined relationships between tables using foreign keys. They’re reliable, fast and support checks and constraints that help enforce data integrity. These databases were born out of necessity for storing large amounts of unstructured data.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

ProjectPro

JUNE 6, 2025

Get ready for your data engineering interview with this essential guide featuring the top DBT interview questions and answers for 2024. The growing demand for data-driven decision-making has made tools like DBT (Data Build Tool) essential in the modern data engineering landscape.

Raw Data 40

Raw Data SQL Datasets Data Pipeline 40

ProjectPro

JUNE 6, 2025

What is the difference between SQL and NoSQL? NoSQL supports unstructured or semi-structured data (e.g., SQL is better for complex queries and consistency; NoSQL offers flexibility and scalability. Normalization = data integrity, less redundancy. It is not the same as zero or an empty string.

SQL 40

SQL MySQL MongoDB Database 40

ProjectPro

JUNE 6, 2025

Compliance issues Data storage types Reduction of downtime Business continuity Ensure availability and access Maintaining data integrity Fail-safe for loss of data 19. These instances use their local storage to store data. They get used in NoSQL databases like Redis, MongoDB , data warehousing.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

DareData

JANUARY 30, 2023

For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. AWS Glue: A fully managed data orchestrator service offered by Amazon Web Services (AWS).

Data Engineer 52

Data Engineer Data Engineering Engineering NoSQL 52

ProjectPro

JUNE 6, 2025

Imagine being able to communicate in different languages; that’s what these API clients provide, allowing a wide range of application development environments to interact with Hive data. This integration simplifies data processing tasks and extends the capabilities of Hadoop for analysts and data scientists.

Big Data 40

Big Data Architecture Project Hadoop 40

Workfall

MARCH 21, 2023

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure. What is Jamstack?

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

ProjectPro

JUNE 6, 2025

From Data Engineering Fundamentals to full hands-on example projects , check out data engineering projects by ProjectPro 2. Data Integration Businesses seldom start big. Tools/Tech stack used: The tools and technologies used for such data pipeline management using Apache Spark are NoSQL, API, ETL, and Python.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

It can even replace broken nodes without shutting down the system, and it can automatically replicate data across numerous nodes. Furthermore, Cassandra is a NoSQL database in which all nodes are peers, rather than master-slave architecture.

Big Data 49

Big Data Project Metadata Programming Language 49

Knowledge Hut

JULY 26, 2023

It also has strong querying capabilities, including a large number of operators and indexes that allow for quick data retrieval and analysis. Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases.

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

JUNE 6, 2025

It all boils down to the ability to efficiently query, manipulate, and analyze data. SQL provides a unified language for efficient interaction where data sources are diverse and complex. Despite the rise of NoSQL, SQL remains crucial for querying relational databases, data transformations, and data-driven decision-making.

SQL 40

SQL Relational Database Business Analyst Database 40

ProjectPro

JUNE 6, 2025

It is popular for its versatility and ease of use, making it suitable for batch and streaming data ingestion scenarios. Learn more about how NiFi helps ingest real-time data efficiently by working on this Real-Time Streaming of Twitter Sentiments AWS EC2 NiFi Project.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

1) Build an Uber Data Analytics Dashboard This data engineering project idea revolves around analyzing Uber ride data to visualize trends and generate actionable insights. Often, companies store precious information at multiple data warehouses across the world.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

GCP Dataflow AWS glue is a fully managed, serverless extract, transform and load (ETL) service to discover, prepare and integrate data from multiple sources for machine learning, analytics, and application development. It is a serverless data integration service that makes data preparation easier, cheaper and faster.

AWS 49

AWS Amazon Web Services Google Cloud Cloud Storage 49

Rockset

JANUARY 5, 2022

While it ensured data integrity, the distributed two-phase lock added a massive delay to SQL database writes — so massive that it inspired the rise of NoSQL databases optimized for fast data writes, such as HBase, Couchbase, and Cassandra. Cutting-edge SQL databases can deliver real-time analytics using the freshest data.

Database 52

Database SQL NoSQL Raw Data 52