Fawaz Ghali, PhD

CORE

Lead Developer Advocate - EMEA at Snowflake

Joined Jan 2023

https://sessionize.com/fawazghali

About

Fawaz Ghali is a public speaker, author, and expert with more than 25 years of experience in Developer Relations, Developer Experience, AI/ML, and Data Engineering. With a PhD in Computer Science and over 45 peer-reviewed papers published, Fawaz has delivered 200+ talks at global events. He is passionate about making complex technologies accessible and shares his knowledge through books, blogs, and presentations, empowering developers, data engineers, and the open-source community to innovate and thrive.

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Reputation:	853
Pageviews:	69.4K
Articles:	12
Comments:	0

Expertise

Data

Articles
Trend Reports

Articles

The Future of Data Lakehouses: Apache Iceberg Explained

This blog post is the first in a three-part series exploring Apache Iceberg and its role in modern data architectures and the emergence of data lakehouses.

February 25, 2025

· 2,215 Views · 2 Likes

Redefining Developer Productivity: Balancing Data and Human Experience in Developer Success Measurements

This article explores developer productivity by examining the roles of developers, processes, and technology and emphasizes the need for both qualitative and quantitative measurement.

February 25, 2025

· 2,988 Views · 2 Likes

Advanced Strategies for Building Modern Data Pipelines

Modern data pipelines streamline the flow of data by making it faster and easier to collect and use them. Here is a better way to understand and create one.

September 26, 2024

· 4,032 Views · 1 Like

From Batch ML To Real-Time ML

Explore this article that defines batch ML and real-time ML, listing real-time ML use cases, components, and challenges.

February 26, 2024

· 5,268 Views · 3 Likes

Distributed Computing Simplified

This tutorial addresses two main advantages of distributed computing and offers three solutions to simplify, dependent on the use case.

January 24, 2024

· 7,112 Views · 5 Likes

Building Real-Time Applications to Process Wikimedia Streams Using Kafka and Hazelcast

In this tutorial, learn how to build high-performance, scalable, and fault-tolerant applications that react to real-time data using Kafka and Hazelcast.

September 6, 2023

· 3,731 Views · 5 Likes

When Speed Matters: Real-Time Stream Processing With Hazelcast and Redpanda

In this tutorial, learn how to build safe, scalable, high-performing apps that unlock the full potential of real-time data.

July 19, 2023

· 8,034 Views · 4 Likes

Boosting Similarity Search With Stream Processing

See a hybrid approach taking the strengths of vector databases, and boosting it with traditional search and filtering techniques based on real-time stream processing.

May 15, 2023

· 3,482 Views · 2 Likes

Enriching Kafka Applications With Contextual Data

Kafka is great for event streaming architectures, continuous data integration (ETL), and messaging systems of record (database). Learn how to enhance your Kafka applications.

May 12, 2023

· 6,846 Views · 4 Likes

How To Create a Failover Client Using the Hazelcast Viridian Serverless

Learn how to update the code in a Java client to automatically connect to a secondary, failover cluster if it cannot connect to its original, primary cluster.

March 11, 2023

· 7,658 Views · 3 Likes

How To Get Started With the Hazelcast Viridian Serverless

In this tutorial, you will learn how to connect a client to a cluster and use SQL to query data in the cluster.

February 25, 2023

· 5,674 Views · 2 Likes

Real-Time Stream Processing With Hazelcast and StreamNative

In this article, readers will learn about real-time stream processing with Hazelcast and StreamNative in a shorter time, along with demonstrations and code.

Updated January 31, 2023

· 12,377 Views · 6 Likes

Trend Reports

Trend Report

Developer Experience

With tech stacks becoming increasingly diverse and AI and automation continuing to take over everyday tasks and manual workflows, the tech industry at large is experiencing a heightened demand to support engineering teams. As a result, the developer experience is changing faster than organizations can consciously maintain.We can no longer rely on DevOps practices or tooling alone — there is even greater power recognized in improving workflows, investing in infrastructure, and advocating for developers' needs. This nuanced approach brings developer experience to the forefront, where devs can begin to regain control over their software systems, teams, and processes.We are happy to introduce DZone's first-ever Developer Experience Trend Report, which assesses where the developer experience stands today, including team productivity, process satisfaction, infrastructure, and platform engineering. Taking all perspectives, technologies, and methodologies into account, we share our research and industry experts' perspectives on what it means to effectively advocate for developers while simultaneously balancing quality and efficiency. Come along with us as we explore this exciting chapter in developer culture.