Analytics Vidhya

FEBRUARY 27, 2023

So, we are […] The post How to Normalize Relational Databases With SQL Code? If a corrupted, unorganized, or redundant database is used, the results of the analysis may become inconsistent and highly misleading. appeared first on Analytics Vidhya.

Relational Database 262

Relational Database Database SQL Coding 262

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.

Data Engineering 248

Data Engineering Data Engineer Engineering Data 248

Start Data Engineering

MAY 5, 2025

Step-by-step process to solve any SQL interview question 2.1. Define what the input data is and how they are related 2.2. Introduction 2. Understand the input table’s grain, foreign keys, and how they relate to each other 2.3. Define the dimensions and metrics required for the output 2.4.

SQL 130

SQL Data Engineering Data Engineer Engineering 130

Data Engineering Weekly

NOVEMBER 24, 2024

Editor’s Note: Launching Data & Gen-AI courses in 2025 I can’t believe DEW will reach almost its 200th edition soon. What I started as a fun hobby has become one of the top-rated newsletters in the data engineering industry. The blog narrates a few examples of Pipe Syntax in comparison with the SQL queries.

Data Engineering 58

Data Engineering Data Engineer Engineering Insurance 58

ProjectPro

JUNE 6, 2025

If you are planning to make a career transition into data engineering and want to know how to become a data engineer, this is the perfect place to begin your journey. Beginners will especially find it helpful if they want to know how to become a data engineer from scratch. in the following few sections. .”

Data Engineering 58

Data Engineering Data Engineer Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

In the thought process of making a career transition from ETL developer to data engineer job roles? Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., Therefore, the need for data engineers is overgrowing. Is ETL required for data engineer?

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

Data Engineering Weekly

JUNE 15, 2025

. - Tips and tricks for data modeling and data ingestion patterns - Explore the benefits of an observation layer across your data pipelines - Learn the key strategies for ensuring data quality for your organization Get the guide Jorge García Herrero: “Localhost tracking” explained.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Engineering 52

ProjectPro

JUNE 6, 2025

No, that is not the only job in the data world. Data professionals who work with raw data, like data engineers, data analysts, machine learning scientists , and machine learning engineers , also play a crucial role in any data science project. Build your Data Engineer Portfolio with ProjectPro!

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

Data Engineering Weekly

JUNE 1, 2025

Join Dagster and Neurospace to learn: - How to build AI pipelines with orchestration baked in - How to track data lineage for audits and traceability - Tips for designing compliant workflows under the EU AI Act Register for the technical session DuckDB: DuckLake - SQL as a Lakehouse Format DuckDB announced a new open table format, DuckLake.

Data Engineering 71

Data Engineering Data Engineer Engineering Relational Database 71

ProjectPro

JUNE 6, 2025

Data engineering is the foundation for data science and analytics by integrating in-depth knowledge of data technology, reliable data governance and security, and a solid grasp of data processing. Data engineers need to meet various requirements to build data pipelines.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

MAY 4, 2025

Register Now Kirill Bobrov: Data Engineering: Now with 30% More B t So we beat on, boats against the current, borne back ceaselessly into the past. The Great Gatsby The author demonstrates that building a reliable data engineering practice is hard, then and now, no matter what terminology or naming we use. -The

Data Engineering 68

Data Engineering Data Engineer Engineering Java 68

Data Engineering Weekly

APRIL 13, 2025

link] Sponsored: The Ultimate Guide to Apache Airflow® DAGs Download this free 130+ page eBook for everything a data engineer needs to know to take their DAG writing skills to the next level (+ plenty of example code). link] All rights reserved, ProtoGrowth Inc.,

Data Engineering 63

Data Engineering Data Engineer Engineering Datasets 63

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? Dice Tech Jobs report 2020 indicates Data Engineering is one of the highest in-demand jobs worldwide.

Data Engineering 45

Data Engineering Data Engineer Engineering Kafka 45

ProjectPro

JUNE 6, 2025

In recent years, you must have seen a significant rise in businesses deploying data engineering projects on cloud platforms. These businesses need data engineers who can use technologies for handling data quickly and effectively since they have to manage potentially profitable real-time data.

Data Engineering 40

Data Engineering Data Engineer Engineering Google Cloud 40

ProjectPro

JUNE 6, 2025

Previously, the spotlight was on gaining relevant insights from data, but recently, data handling has gained attention. Because of that, data engineer jobs have garnered recognition and popularity. Most of us must have used Google Drive to share data among peers at least once in a lifetime.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Becoming a data engineer can be challenging, but we are here to make the journey easier. In this blog, we have curated a list of the best data engineering courses so you can master this challenging field with confidence. Say goodbye to confusion and hello to a clear path to data engineering expertise!

Data Engineering 45

Data Engineering Data Engineer Cloud Engineering 45

Data Engineering Weekly

JANUARY 15, 2025

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. How does a self-driving car understand a chaotic street scene?

Data Engineering 63

Data Engineering Data Engineer Unstructured Data Engineering 63

Data Engineering Weekly

APRIL 20, 2025

[link] Jing Ge: Context Matters — The Vision of Data Analytics and Data Science Leveraging MCP and A2A All aspects of software engineering are rapidly being automated with various coding AI tools, as seen in the AI technology radar. Data engineering is one aspect where I see a few startups starting to disrupt.

Data Engineering 68

Data Engineering Data Engineer Engineering Kafka 68

Data Engineering Weekly

MARCH 30, 2025

Save Your Spot → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community. Data Council 2025 is set for April 22-24 in Oakland, CA. link] BVP: Roadmap: Data 3.0

Data Engineering 58

Data Engineering Data Engineer Engineering Pipeline-centric 58

DataKitchen

FEBRUARY 17, 2025

No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically As a data engineer, ensuring data quality is both essential and overwhelming. Even if data engineers had the resources, they lacked the full context of data use.

SQL 73

SQL Python Government Data Engineering 73

ProjectPro

JUNE 6, 2025

Data engineering has become crucial to any modern organization's technology stack. The need for fast and efficient data processing is high, as companies increasingly rely on data to make business decisions and improve product quality. But what books should you read if you want to learn more about data engineering?

Data Engineering 45

Data Engineering Data Engineer Engineering Lambda Architecture 45

KDnuggets

JUNE 10, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. Its tight integration with Python and R makes it ideal for interactive data analysis. EXCLUDE, REPLACE, and ALL) to simplify query writing.

Python 109

Python SQL Data Science Machine Learning 109

ProjectPro

JUNE 6, 2025

Becoming a Databricks Certified Data Engineer Associate is essential for data engineers as Databricks enables data engineers to efficiently process large volumes of data, build complex data pipelines, and leverage cloud-native services for enhanced reliability and cost-effectiveness.

Data Engineering 40

Data Engineering Data Engineer Engineering Certification 40

Monte Carlo

OCTOBER 31, 2024

One job that has become increasingly popular across enterprise data teams is the role of the AI data engineer. Demand for AI data engineers has grown rapidly in data-driven organizations. But what does an AI data engineer do? Table of Contents What Does an AI Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Data Engineering Weekly

APRIL 27, 2025

Before Hoptimator, Pinot ingestion often required data producers to create and manage separate, Pinot-specific preprocessing jobs to optimize data, such as re-keying, filtering, and pre-aggregating. reducing user friction, operator toil, and resource consumption on Pinot servers, while automating pipeline management.

Data Engineering 63

Data Engineering Data Engineer Engineering Kafka 63

ProjectPro

JUNE 6, 2025

With over 175 full features service offerings, organizations are head hunting for AWS data engineers who can help them build and maintain the entire AWS cloud infrastructure to keep the applications up and running. Cloud platforms are becoming the new standard for managing an organization's data.

AWS 45

AWS Data Engineering Data Engineer Amazon Web Services 45

KDnuggets

JUNE 13, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind?

Data Science 118

Data Science Datasets SQL Python 118

ProjectPro

JUNE 6, 2025

Welcome to our guide on How to Crack the Amazon Data Engineer Interview in 2024! million, Amazon heavily relies on data engineers for its success. With a 30% year-over-year increase in hiring data engineers, Amazon underscores its commitment to leveraging big data effectively.

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Using ETL, data is extracted from source systems, transformed into a reliable data type, and loaded into a single repository. You should prepare the ETL interview questions if you are looking for a position like data engineer that involves ETL. What SQL commands allow you to validate data completion?

Data Engineering 45

Data Engineering Data Engineer ETL Tools Engineering 45

ProjectPro

JUNE 6, 2025

Table of Contents What is Scala for Data Engineering? Why Should Data Engineers Learn Scala for Data Engineering? Now Is the Best Time to Learn Scala for Data Engineering FAQs on Scala for Data Engineering What is Scala for Data Engineering?

Scala 40

Scala Data Engineering Data Engineer Engineering 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 Engineering 40

Data Engineering Data Engineer Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

Data engineering is gradually becoming the backbone of companies looking forward to leveraging data to improve business processes. This blog will discover how Python has become an integral part of implementing data engineering methods by exploring how to use Python for data engineering.

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

ProjectPro

JUNE 6, 2025

This blog will help you understand what data engineering is with an exciting data engineering example, why data engineering is becoming the sexier job of the 21st century is, what is data engineering role, and what data engineering skills you need to excel in the industry, Table of Contents What is Data Engineering?

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Data Engineers are critical hires at Amazon. They must have a good command of SQL and Python to work on complex datasets, along with experience working on big data processing frameworks like Apache Spark, Hadoop , and cloud technologies. Amazon Data Engineer SQL Interview Questions Q5.

Data Engineering 40

Data Engineering Data Engineer Engineering SQL 40

ProjectPro

JUNE 6, 2025

Due to this, knowledge of cloud computing platforms and tools is now essential for data engineers working with big data. 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.

Data Engineering 40

Data Engineering Data Engineer PostgreSQL Engineering 40

ProjectPro

JUNE 6, 2025

To achieve digital transformation, it is necessary to process, manage, and automate the vast volume of data that goes into the cloud platform. This is where Azure Data Factory comes into the scenario. You can easily use these custom logs to conduct SQL queries on your meta-store and assess your data quality.

Data Engineering 40

Data Engineering Data Engineer Project Engineering 40