article thumbnail

Building End-to-End Data Pipelines: From Data Ingestion to Analysis

KDnuggets

By Josep Ferrer , KDnuggets AI Content Specialist on July 15, 2025 in Data Science Image by Author Delivering the right data at the right time is a primary need for any organization in the data-driven society. Data can arrive in batches (hourly reports) or as real-time streams (live web traffic).

article thumbnail

What’s New: Zerobus and Other Announcements Improve Data Ingestion for Lakeflow Connect

databricks

Zerobus is a direct write API that simplifies ingestion for IoT, clickstream, telemetry and other similar use cases. However, ingestion presents challenges, like ramping up on the complexities of each data source, keeping tabs on those sources as they change, and governing all of this along the way.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

A Data Engineer’s Guide To Real-time Data Ingestion

ProjectPro

Navigating the complexities of data engineering can be daunting, often leaving data engineers grappling with real-time data ingestion challenges. Our comprehensive guide will explore the real-time data ingestion process, enabling you to overcome these hurdles and transform your data into actionable insights.

article thumbnail

Part 1: Introduction to Lakeflow Jobs and ETL Workflow in Databricks.

RandomTrees

Automating an Election Data Pipeline: This blog covers the creation of an automated Data Pipeline in Databricks using a Lakeflow Job with DAG-style orchestration for Election Data Analytics. Voter Demographics: age, gender, income, education, region.

article thumbnail

The Race For Data Quality in a Medallion Architecture

DataKitchen

This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs. By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data.

article thumbnail

What’s New in Lakeflow Declarative Pipelines: July 2025

databricks

The new IDE for Data Engineering in Lakeflow Declarative Pipelines We also announced the General Availability of Lakeflow , Databricks’ unified solution for data ingestion, transformation, and orchestration on the Data Intelligence Platform. The GA milestone also marked a major evolution for pipeline development.

article thumbnail

How to Build a Data Lake?

ProjectPro

Data Lake Architecture- Core Foundations Data lake architecture is often built on scalable storage platforms like Hadoop Distributed File System (HDFS) or cloud services like Amazon S3, Azure Data Lake, or Google Cloud Storage. Use tools like Apache Kafka for streaming data (e.g.,