ProjectPro

JUNE 6, 2025

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. 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

Additional libraries on top of Spark Core enable a variety of SQL, streaming, and machine learning applications. Spark can connect to relational databases using JDBC, allowing it to perform operations on SQL databases. Spark can read from and write to Amazon S3 , making it easy to work with data stored in cloud storage.

Hadoop 68

Hadoop Metadata Java Datasets 68

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 Engineer 59

Data Engineer Data Engineering Project Engineering 59

ProjectPro

JUNE 6, 2025

Linked services are used majorly for two purposes in Data Factory: For a Data Store representation, i.e., any storage system like Azure Blob storage account, a file share, or an Oracle DB/ SQL Server instance. Can you Elaborate more on Data Factory Integration Runtime? e.g., Stored Procedure, U-SQL, Azure Functions, etc.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

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. Developers who can work with structured and unstructured data and use machine learning and data visualization tools are highly sought after.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

Network Security Users must install the Data Factory Self Hosted Integration runtime on their virtual machine for their storage to be accessible from within their Virtual Network on Azure (VM). Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Data Engineer 40

Data Engineer Data Engineering Project Engineering 40

ProjectPro

JUNE 6, 2025

You should start with SQL, a language commonly used for data querying and manipulation. You must learn to write SQL queries to filter, join, and aggregate data. Additionally, consider Python, a popular language for data processing. Python libraries like Pandas provide powerful tools for data transformation.

ETL Tools 45

ETL Tools AWS Data Validation Big Data 45

ProjectPro

JUNE 6, 2025

It offers a platform for.NET developers to efficiently process up to petabytes of data. Users can perform analytics jobs of any size with Azure Data Lake Analytics by leveraging U-SQL to execute C# and SQL-based analytics workloads.

Data Lake 40

Data Lake Hadoop Big Data SQL 40

ProjectPro

JUNE 6, 2025

From working with raw data in various formats to the complex processes of transforming and loading data into a central repository and conducting in-depth data analysis using SQL and advanced techniques, you will explore a wide range of real-world databases and tools. stars and 1,004 reviews.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

The vendor's online interface, Snowsight, offers SQL functionality and other features. BigQuery provides a cloud console with a graphical user interface (GUI) as part of Google Cloud that helps users build and manage resources and execute SQL queries. Snowflake offers a unified view of resources and services. PREVIOUS NEXT <

Data Warehouse 40

Data Warehouse Cloud Google Cloud Cloud Storage 40

ProjectPro

JUNE 6, 2025

For instance, you can use it to establish a connection to the Azure Data Lake storage account to execute SQL queries on the files. Suppose you want to pull data from an on-premises server into the cloud or connect to the Azure data lake storage account to perform SQL queries on the files.

Data Lake 40

Data Lake SQL Bytes Data Warehouse 40

ProjectPro

JUNE 6, 2025

This is a huge advantage when handling Big Data as it enables businesses to optimize their storage and processing capacity when they process their data to derive meaningful insights using various analytical techniques. But how does integrating big data tools , such as Apache Spark , with cloud services, such as Azure , work?

Big Data 40

Big Data Cloud Data Lake Big Data Tools 40

ProjectPro

JUNE 6, 2025

Google BigQuery BigQuery is a fully-managed, serverless cloud data warehouse by Google. It facilitates business decisions using data with a scalable, multi-cloud analytics platform. It offers fast SQL queries and interactive dataset analysis. Additionally, it has excellent machine learning and business intelligence capabilities.

Data Engineer 40

Data Engineer Data Engineering Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

The book also demonstrates how to use the powerful built-in libraries MLib, Spark Streaming, and Spark SQL. High-Performance Spark: Best Practices for Scaling and Optimizing Apache Spark by Holden Karau, Rachel Warren This book is a comprehensive guide for experienced Spark developers and data engineers to optimize Spark applications.

Big Data 40

Big Data Scala Machine Learning Manufacturing 40

ProjectPro

JUNE 6, 2025

Programming Language.NET and Python Python and Scala AWS Glue vs. Azure Data Factory Pricing Glue prices are primarily based on data processing unit (DPU) hours. It is important to note that both Glue and Data Factory have a free tier but offer various pricing options to help reduce costs with pay-per-activity and reserved capacity.

AWS 40

AWS Cloud Amazon Web Services ETL Tools 40

ProjectPro

JUNE 6, 2025

Here are some of the highly demanded data analytics engineer skills- Data Engineering Data analytics engineers must possess certain data engineering skills , such as the ability to build software that gathers, analyzes, and organizes data.

Data Analytics 40

Data Analytics Engineering IT Computer Science 40

Knowledge Hut

APRIL 25, 2024

This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

TensorFlow) Strong communication and presentation skills Data Scientist Salary According to the Payscale, Data Scientists earn an average of $97,680. Ability to write, analyze, and debug SQL queries Solid understanding of ETL (Extract, Transfer, Load) tools, NoSQL, Apache Spark System, and relational DBMS.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

The Microsoft Azure Data Factory Training is a beginner-friendly guide that explores the benefits and functionality of the Azure Data Factory. This training course showcases ADF’s scalability, flexibility, and seamless integration with Azure services like Blob Storage, SQL Database, and Data Lake Storage.

Data Lake 40

Data Lake Cloud Computing Data Workflow Data Pipeline 40

ProjectPro

JUNE 6, 2025

Microsoft's Azure Synapse Analytics (formerly SQL Data Warehouse) is a cloud data warehouse that combines data integration , data exploration, enterprise data warehousing, and big data analytics to offer a unified workspace for creating end-to-end analytics solutions.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

This robust service enables users to quickly deploy and utilize various analytical workloads while ensuring consistent governance across their entire data infrastructure. It empowers organizations to efficiently manage crucial tasks like data science, data engineering , machine learning , artificial intelligence (AI), and SQL-based analytics.

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool.

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

Must-Knows Before Using GCP Dataflow To utilize Dataflow correctly, one should understand Apache Beam SDK, Virtual Machines, Dataflow Streaming Engine , Dataflow Jobs, and Dataflow SQL. GCP Dataflow SQL Dataflow SQL allows the utilization of SQL to develop streaming pipelines directly from the Google BigQuery web user interface.

Google Cloud 40

Google Cloud Java Data Ingestion SQL 40

ProjectPro

JUNE 6, 2025

PySpark SQL and Dataframes A dataframe is a shared collection of organized or semi-structured data in PySpark. This collection of data is kept in Dataframe in rows with named columns, similar to relational database tables. PySpark SQL combines relational processing with the functional programming API of Spark.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

According to Reports, the real-world adoption of Apache Hive as a Data Warehousing tool has surged, with over 4412 companies worldwide, with 58.47% in the U.S., These statistics underscore the global significance of Hive as a critical component in the arsenal of big data tools.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JANUARY 20, 2016

“I want to work with big data and hadoop. ” How much SQL is required to learn Hadoop? In our previous posts, we have answered all the above questions in detail except “How much SQL is required to learn Hadoop?” Studies found that the de facto language for analysts was SQL.

Hadoop 52

Hadoop SQL Java Portfolio 52

ProjectPro

JUNE 6, 2025

Develop application programming interfaces (APIs) for data retrieval. Collaborate with leadership and senior management to develop and implement a data strategy to help the organization reach its goals and objectives. Gain expertise in big data tools and frameworks with exciting big data projects for students.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

AWS Glue You can easily extract and load your data for analytics using the fully managed extract, transform, and load (ETL) service AWS Glue. To organize your data pipelines and workflows, build data lakes or data warehouses, and enable output streams, AWS Glue uses other big data tools and AWS services.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

Introduction to Big Data Big data combines structured, semi-structured, and unstructured data collected by organizations to glean valuable insights and information using machine learning, predictive modeling , and other advanced analytical applications. SQL has several dialects.

Big Data 45

Big Data Big Data Skills Hadoop Scala 45

ProjectPro

JUNE 6, 2025

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

It can also be used to create derived data entities In this retail big data project , ADF Dataflows act as a flexible solution for data integration and transformation from multiple sources helping the company glean valuable business insights into customer behavior to increase sales.

Retail 40

Retail Big Data Data Pipeline Data Warehouse 40

ProjectPro

JUNE 6, 2025

Top 15 Data Analysis Tools to Explore in 2025 | Trending Data Analytics Tools 1. Google Data Studio 10. Looker Data Analytics Tools Comparison Analyze Data Like a Pro with These Data Analysis Tools FAQs on Data Analysis Tools Data Analysis Tools- What are they?

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Analysts and database administrators utilize the processed data for ML models and other data science tasks. With Redshift ML, users can create, train, and deploy ML models via SQL commands.

Project 45

Project AWS Algorithm Machine Learning 45

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. When working with real-world data, it may only sometimes be the case that the information is stored in rows and columns.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

The process of creating logical data models is known as logical data modeling. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 2. How would you create a Data Model using SQL commands? You can also use the INSERT command to fill your tables with data.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53