Sat.Nov 18, 2023

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Data News — Week 23.46

Christophe Blefari

Back in town ( credits ) Hey, it's been a few weeks since I've not written any news. It was a necessary break for me and a blank page syndrome at the same time. Still I've accumulated a lot of articles that I think should fit in the Data News so this week might be a huge recap of content that has been produce in the last month. I hope you will enjoy the selection.

Data 147
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Journey of TILDI Data Engineer in 2023?—????????? Data Platform ??????????????

Medium Data Engineering

ในปีที่แล้วเราได้อธิบายว่า Data Engineer ในทีม TILDI ทำอะไรบ้าง ทั้งด้าน tech stack, เครื่องมือที่เราใ&#

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A Detailed Guide on Azure Data Engineer Syllabus/Curriculum

Knowledge Hut

The Azure Data Engineer Syllabus is a thorough guide that will provide you with the knowledge and information needed to become effective in Azure data engineering. The Azure Data Engineer Syllabus provides a systematic and in-depth approach to understand data engineering with Azure. It gives students the skills and knowledge they need to build scalable, efficient, and secure data systems.

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Unveiling the Power and Potential of Snowflake: A Comprehensive Exploration

Medium Data Engineering

Whether you’re a seasoned data analyst, an avid explorer in the world of modern data warehousing, or a curious enthusiast, Snowflake… Continue reading on Medium »

Data 52
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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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What is the Role of Machine Learning in IOT?

Knowledge Hut

With the advent of Internet of Things (IoT), companies can easily gain access to large volumes of customer data on a regular basis. If effectively analyzed, it can help them gain useful insights, enabling them to make decisions regarding consumer behavior, business policies, market trends and more. However, regularly assessing such high data volumes can be very hectic and lead to human errors.

More Trending

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Top 10 Emerging Artificial Intelligence Technologies in 2023

Knowledge Hut

Artificial Intelligence has had a profound impact on every sector of society, truly changing the way we live our lives. From breakthroughs in machine learning to advancements in language processing, the list goes on and on. Did you know that the global market for Artificial Intelligence is currently worth $328.34 billion? Not just this, the AI market is also expected to witness tremendous growth of 38.1% by the end of the year 2030.

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Medium Data Engineering

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The History of Artificial Intelligence (AI): A Detailed Guide

Knowledge Hut

Contrary to popular belief, Artificial Intelligence is not a new technology for researchers. In fact, it has existed for decades, and only in recent years, it has been able to achieve immense popularity. The journey of Artificial Intelligence is a fascinating exploration of human ingenuity, ambition, and the relentless pursuit of creating intelligent machines.

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How Takashi Castle Can Help You Understand Real Time Data Engineering

Medium Data Engineering

Real time data engineering is the process of collecting, processing, and analyzing data streams in real time, or near real time, to… Continue reading on Medium »

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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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What are AI Models? Types, Benefits, and Examples

Knowledge Hut

Welcome to our blog that will walk you through the world of amazing AI models – different AI model types, impacts on various industries, and great AI model examples of their transformation power. In order to get a glimpse into the future of AI and understand the foundation of AI models, anyone with an interest in the possibilities of this fast-growing domain should know its basics.

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BigData |Hadoop— 10 Common Mistakes in Sqoop

Medium Data Engineering

If your daily activities involve performing Data Ingestion then here are a few issues you come across. 18/09/14 13:46:17 WARN tool.

Hadoop 52
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Azure Administrator (AZ-104) Cheat Sheet: Complete Collection

Knowledge Hut

Aspirants understand how difficult it could be to learn and retain all the crucial subjects and concepts when doing AZ-104 exam prep. It can be difficult to keep track of all the material because the exam covers a broad variety of Azure services and functionalities. The goal of the AZ-104 certification exam is to evaluate a candidate's proficiency as an Azure Administrator.

SQL 52
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Design Patterns in Python, Scala, and Java: A Data Engineering Perspective!

Medium Data Engineering

Throughout my 13+ years of journey in the IT industry, I have had the unique opportunity to work on all 3 programming languages.

Scala 52
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What are AI Algorithms & How Does It Work?

Knowledge Hut

In today’s technically advanced world, AI plays a significant role. We all encounter artificial intelligence in our routine life. Everything is about artificial intelligence, from facial recognition on your devices, to auto-correct features, and search engines. So, if you plan to excel in this rapidly growing and evolving market, you will have to understand and implement AI at various levels.

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Medium Data Engineering

شماره تهران 09034596524 Continue reading on Medium »

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Machine Learning with PySpark’s pyspark.ml Library

Medium Data Engineering

Unlocking the Potential of Scalable Machine Learning in a Distributed Environment Continue reading on Medium »

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Database Views vs. Materialized Views

Medium Data Engineering

In the universe of database management , views and materialized views play distinct yet complementary role.

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Apache Flink for Sales Analytics?—?End to End Data Engineering

Medium Data Engineering

In the realm of big data processing, Apache Flink emerges as a robust, efficient, and user-friendly platform.

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Spark Series #6 : Data Ingestion From Files

Medium Data Engineering

In Spark, data is transient, meaning that once the Spark engine is shut off, all the data in memory is lost.

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PySpark?—?Retrieve Unmatched rows from two Dataframes

Medium Data Engineering

Data integrity refers to the quality, consistency, and reliability of data throughout its life cycle.

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Data in the Cloud: A Comprehensive Guide to Databases, Data Warehouses, and Data Lakes for…

Medium Data Engineering

In this blog, I am going to talk about data storage in data science pipelines or big data pipelines.

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Introduction to Programming: Pig Latin Translator in Python

Medium Data Engineering

Learning to code with CS50 is bad. Learn from this tutorial instead — and have fun too!

Python 52
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"Unleashing the Power of Blockchain: Beyond Cryptocurrencies"

Medium Data Engineering

Blockchain technology, once synonymous with cryptocurrencies like Bitcoin, has evolved into a transformative force with far-reaching implications across various industries.

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Azure Data Factory Concepts- A Primer

Medium Data Engineering

A guide for beginners and a refresher for experts Continue reading on Medium »

Data 52
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Handling Concurrent Writes in Databricks

Medium Data Engineering

Implement a Locking Mechanism with Delta Continue reading on ITNEXT »

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Construction company in Dehradun | Best Construction company in dehradun | Top Construction…

Medium Data Engineering

Best construction company in dehradun Continue reading on Medium »

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Unlocking a Career in Data Engineering: A Proven Pathway

Medium Data Engineering

Entering the world of Data Engineering can feel like a maze.

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Laboratorio: Tablas Relacionales SQL

Medium Data Engineering

Creado por: Mario Palacios Continue reading on Medium »

SQL 52
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PySpark?—?DAG & Explain Plans

Medium Data Engineering

Understand How Spark divides Jobs into Stages and Tasks?

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Spark Concepts Simplified: Lazy Evaluation

Medium Data Engineering

The what and how Continue reading on Medium »

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Achieving a Seamless Migration from AWS DocumentDB to Atlas MongoDB with Minimal Downtime

Medium Data Engineering

Introduction Continue reading on Medium »

MongoDB 52
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? Empowering Power BI: Unlocking efficiency with Power BI Telemetry for Faster Dataset Refreshes…

Medium Data Engineering

Overview Continue reading on Medium »

BI 52