Daniel Sef

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I'm a passionate Software and Data Engineer interested in data architectures, streaming systems, machine learning, deep learning and Digital Products. I have an achiever mindset so my work focus on delivering a defined work product based on budget, quality and deadline. Data warehouse modelling (Kimball and Immon design, Dimensional design) ETL Design and development PL/SQL development Python Different data architectures (batch and streaming systems,) Source Code Control Systems, SVN Learning new tools and skills is essential to use database technologies Experience in various technologies (Teradata, Oracle, Linux/Unix) Release management experience Customer focus, analytical thinking...

oracle 12c in-memory oracle database

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Daniel Sef

Presentations

Valos ideju megoldasok realtime ods és database in memory tapasztalatok

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KSQL and Security: The Current State of Affairs (Victoria Xia, Confluent) Kafka Summit NYC 2019

Hive Bucketing in Apache Spark with Tejas Patil

Greyhound - Powerful Pure Functional Kafka Library

Exactly Once Delivery with Kafka - Kafka Tel-Aviv Meetup

End-to-End Reactive Data Access Using R2DBC with RSocket and Proteus

From Zero To Deep Learning With Scala

10 Lessons Learned from using Kafka in 1000 Scala microservices - Scalar Online

How to build 1000 microservices with Kafka and thrive

Bessemer's State of the Cloud 2020

Snowflake SnowPro Certification Exam Cheat Sheet

Shinrin Yoku Powerpoint

YugaByte DB on Kubernetes - An Introduction

Build Real-Time Streaming ETL Pipelines With Akka Streams, Alpakka And Apache Kafka

How To Build, Integrate, and Deploy Real-Time Streaming Pipelines On Kubernetes

Moving from Big Data to Fast Data? Here's How To Pick The Right Streaming Engine

Spark Summit EU talk by Ted Malaska

Machine Learning on Google Cloud with H2O

Json and SQL DB serialization Introduction with Play! and Slick

Trends for Modernizing Analytics and Data Warehousing in 2019

First impression of the new cloud native programming language ballerina

Validating Big Data Jobs—Stopping Failures Before Production on Apache Spark with Holden Karau

Building Robust ETL Pipelines with Apache Spark

Apache Arrow: Cross-language Development Platform for In-memory Data

PL/SQL and radix tree structure

KUBEBOOT - SPRING BOOT DEPLOYMENT ON KUBERNETES HAS NEVER BEEN SO EASY

microXchg: Managing data consistency in a microservice architecture using Sagas

Deploying Spring Boot apps on Kubernetes

GitOps - Modern best practices for high velocity app dev using cloud native tools

Simple Solutions for Complex Problems

Multi Master PostgreSQL Cluster on Kubernetes