Scott Logic

JUNE 19, 2025

Separating Substance from Hype In an industry notorious for rebranding existing technologies with shiny new names, the “Data Lakehouse” faces immediate skepticism. Is this another case of markitecture—marketing masquerading as architecture—or does it represent genuine technical progress? More precisely, Schneider et al.

Data Lake

Edureka

MAY 27, 2025

What Constitutes the Microsoft Fabric Architecture’s Fundamental Elements? What Are the Core Components of Microsoft Fabric Architecture? The architecture of Microsoft Fabric is based on several essential elements that work together to simplify data processes: 1.

Architecture

ProjectPro

JUNE 6, 2025

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline

Data Engineering Weekly

JUNE 30, 2025

The Data Platform Fundamentals Guide Learn the fundamental concepts to build a data platform in your organization. Its modular architecture and PR-driven dev workflow enable scalable collaboration, while natural language summaries and scheduled metric calculations streamline impact analysis from hours to minutes.

Data Engineering

Snowflake

NOVEMBER 11, 2024

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure. Here’s a closer look.

Data Architecture

Data Engineering Weekly

JULY 27, 2025

How to Build a Data Platform From Scratch Learn the fundamental concepts to build a data platform in your organization. link] Grab: The evolution of Grab's machine learning feature store. link] Intuit: Vibe Coding in the Age of AI: Navigating the Future of Software Development 2.0

Data Engineering

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? These tools are responsible for making the day-to-day tasks of a data engineer easier in various ways.

Data Engineering

Data Engineering Weekly

JULY 7, 2025

The author highlights the processing of unstructured data in alignment with the Medallion architecture and discusses Tensor Lake and LlamaParse. Freshness, Context, and Low-Latency access are the keys to the success of Gen AI applications, and the author questions the medallion architecture of the data lake.

Data Engineering

ProjectPro

JUNE 6, 2025

Key Concepts Involved in Azure Data Factory Pipeline Activity Datasets Data Flows Parameters Control Flow Linked Services Triggers Integration Runtime (IR) Top Azure Data Factory Use Cases Data Integration Data Reservoir for Product Recommendations How to Build an Azure Data Factory pipeline?

Data Engineering

ProjectPro

JUNE 6, 2025

Table of Contents Why Learn AWS for Data Engineering? What is Data Engineering?? What is AWS for Data Engineering? AWS Data Engineering Tools Architecting Data Engineering Pipelines using AWS Data Ingestion - Batch and Streaming Data How to Transform Data to Optimize for Analytics?

AWS

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Projects Top 30+ Data Engineering Project Ideas for Beginners with Source Code [2025] We recommend over 20 top data engineering project ideas with an easily understandable architectural workflow covering most industry-required data engineer skills.

Data Engineering

ProjectPro

JUNE 6, 2025

Let us dive deeper into this data integration solution by AWS and understand how and why big data professionals leverage it in their data engineering projects. It offers a simple and efficient solution for data processing in organizations. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

AWS

ProjectPro

JUNE 6, 2025

Fabric's collaborative features allow different teams within your organization—such as sales, marketing, and supply chain—to work together seamlessly and leverage the same data and insights to drive common goals. At its core lies the OneLake, a central repository built on the foundation of Azure Data Lake Storage (ADLS) Gen2.

Database-centric

ProjectPro

JUNE 6, 2025

Explore Data Engineer Projects to Learn the Plumbing of Data Science Role and Responsibilities of a Data Engineer Prepare, handle, and supervise efficient data pipeline architectures. Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks.

Data Engineering

ProjectPro

JUNE 6, 2025

These pipelines are the go-to solution for data engineers, and it's no secret why. This blog will help you demystify batch data pipelines, explore the essential tools and architecture, share some best practices, and walk you through building your first batch data pipeline. Table of Contents What Is A Batch Data Pipeline?

Data Pipeline

ProjectPro

JUNE 6, 2025

Data engineers are responsible for the end-to-end architecture of data platforms, ensuring that data systems are scalable, efficient, and capable of handling both real-time and batch processing. Apache NiFi Apache NiFi is an open-source data integration tool designed to automate data flow between systems.

Data Engineering

ProjectPro

JUNE 6, 2025

So, if you're a data professional ready to embark on a data-driven adventure, read this blog till the end as we unravel the secrets of Azure Databricks and discover the limitless possibilities it holds. Microsoft Azure Databricks Features and Benefits Azure Databricks Architecture Azure Databricks Pricing How to Use Azure Databricks?

Data Engineering

ProjectPro

JUNE 6, 2025

Let's consider an example of a data processing pipeline that involves ingesting data from various sources, cleaning it, and then performing analysis. The workflow can be broken down into individual tasks such as data ingestion, data cleaning, data transformation, and data analysis.

Data Pipeline

ProjectPro

JUNE 6, 2025

This beginner's guide will give you a detailed overview of Azure Synapse Analytics and its architecture to help you build enterprise-grade data pipelines for your next data analytics project. Why Use Azure Synapse Analytics For Big Data Analytics Projects? Table of Contents What is Azure Synapse Analytics?

Data Engineering

Monte Carlo

AUGUST 1, 2025

Engineers scramble to fix connections while AI models starve for fresh data. Modern approaches like data lakes, integration platforms, and data mesh architectures offer promising solutions, but implementing them requires significant effort and organizational change. Data quality issues AI amplifies every data flaw.

Data Management

ProjectPro

JUNE 6, 2025

Before we dive further into the comparison between ETL developers and other data industry job titles, let us first understand what is an ETL developer, what are the necessary skills and responsibilities associated with the role, etc. SQL and Database Architecture Database architecture expertise is essential for an ETL developer.

Data Engineering

ProjectPro

JUNE 6, 2025

This guide is your go-to resource for understanding the NiFi's role in Big Data projects. We'll also walk you through NiFi's architecture and user-friendly features, helping you understand its role in simplifying data management. This ensures a cohesive and seamless data flow across the system.

Big Data

ProjectPro

JUNE 6, 2025

Unlike the conventional ETL process, which involves complex data extraction, transformation, and loading steps, Zero ETL directly integrates data from the source to the destination. This integration allows for real-time data processing and analytics, reducing latency and simplifying data workflows.

Data Analytics

ProjectPro

JUNE 6, 2025

By working on this project, you will gain a comprehensive understanding of crucial aspects like setting up access permissions to ensure data security, establishing triggers for automated data ingestion to keep your data updated, and implementing transformation logic using Cloud Functions.

Data Integration

ProjectPro

JUNE 6, 2025

This blog is a one-stop solution to overcome these challenges that covers everything from a data pipeline architecture to the ultimate process of building a data pipeline from scratch with practical examples - So, let’s get started! Table of Contents What is a Data Science Pipeline?

Data Science

ProjectPro

JUNE 6, 2025

Use AWS or third-party tools to analyze, re-architect, and re-platform on-premise data warehouses to data platforms in the AWS cloud. Using Java, Python, and Scala , design and construct production data pipelines from intake to consumption within a significant data architecture.

AWS

ProjectPro

JUNE 6, 2025

The AWS Data Engineer Associate Certification specifically validates critical tasks, such as data ingestion, transformation, and orchestration, leveraging programming concepts. Familiarity with using data lakes for storing data. What does AWS data engineer do? PREVIOUS NEXT <

AWS

Edureka

MAY 27, 2025

While Microsoft Fabric offers an all-in-one data platform for enterprises deeply integrated with Azure, Tableau focuses on intuitive, high-quality data visualization for users at all levels. This guide compares their features, architecture, pricing, and use cases to help you decide which is the best fit for your data strategy.

BI

ProjectPro

JUNE 6, 2025

Apache Zeppelin Source: Github Apache Zeppelin is a multi-purpose notebook that supports Data Ingestion , Data Discovery, Data Analytics , Data Visualization , and Data Collaboration. Furthermore, Cassandra is a NoSQL database in which all nodes are peers, rather than master-slave architecture.

Big Data

ProjectPro

JUNE 6, 2025

Therefore, organizing, storing, visualizing, and analyzing the vast amounts of usable data enterprises produce is necessary. Traditional data tools cannot handle this massive volume of complex data, so several unique Big Data software tools and architectural solutions have been developed to handle this task.

Big Data Tools

ProjectPro

JUNE 6, 2025

Data streaming also has a multitude of other uses and can be used to power messaging systems, build a gaming pipeline , or in log aggregation. A real-time streaming architecture typically consists of 5 key components: Stream source : This is where the data ingestion takes place.

Kafka

ProjectPro

JUNE 6, 2025

With the ability to handle streaming data ingestion rates of up to millions of events per second, Amazon Kinesis has become a popular choice for high-volume data processing applications. Ready to take your data streaming to the next level? For Kinesis Firehose, AWS charges based on the amount of data ingested.

Kafka

ProjectPro

JUNE 6, 2025

Knowledge of the definition and architecture of AWS Big Data services and their function in the data engineering lifecycle, including data collection and ingestion, data analytics, data storage, data warehousing, data processing, and data visualization.

Certification

ProjectPro

JUNE 6, 2025

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. HBase architecture has three main components: HMaster, Region server, and Zookeeper.

Big Data

ProjectPro

JUNE 6, 2025

As businesses continue to recognize the value of efficient data management, the demand for certified data engineers has surged. These roles typically involve working with large-scale data solutions, implementing data pipelines, and optimizing data architectures for performance and scalability.

Data Engineering

Edureka

APRIL 9, 2025

Imagine being in charge of creating an intelligent data universe where collaboration, analytics, and artificial intelligence all work together harmoniously. Development of Some Relevant Skills and Knowledge Data Engineering Fundamentals: Theoretical knowledge of data loading patterns, data architectures, and orchestration processes.

Engineering

Monte Carlo

NOVEMBER 22, 2024

Let’s walk through how to transform your scrappy data setup into a robust pipeline that’s ready to grow with your business. At the front end, you’ve got your data ingestion layer —the workhorse that pulls in data from everywhere it lives. This is where your storage layer comes into play.

Data Engineering