Thu.Apr 11, 2024

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Weekend maintenance kicks an Italian bank offline for days

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Pulse issue. To get full issues twice a week, subscribe here.

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5 Free Resources to Master Your Data Science Job Search

KDnuggets

Learn how to use various data science platforms to secure your first job.

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Data enrichment strategies in Apache Flink

Waitingforcode

Data enrichment is a crucial step in making data more usable by the business users. Doing that with a batch is relatively easy due to the static nature of the dataset. When it comes to streaming, the task is more challenging.

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7 Things Students Are Missing in a Data Science Resume

KDnuggets

Adding these 7 key elements to your resume will improve your odds of getting an interview call. Remember, after graduating from the university, your full-time job is to find a job, so put some effort into preparing your resume.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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Combine, Visualize, and Analyze Responses from Participatory Mapping

ArcGIS

Answering regional geographers' favorite question: Where is the Midwest to you?

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Learn About Cloudera’s Partner Network

Cloudera

Businesses around the world rely on an extensive network of partnerships to deliver quality customer experiences—and it’s no different here at Cloudera. Cloudera is building a robust partner ecosystem to meet the unique needs of its customers, working to provide exceptional and fulfilling experiences that help make Cloudera a leader in the multi-cloud data platform space.

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More Trending

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Navigating the Cloud Modernization Journey: Insights from Precisely’s Partnership with AWS

Precisely

In an era where cloud technology is not just an option but a necessity for competitive business operations, the collaboration between Precisely and Amazon Web Services (AWS) has set a new benchmark for mainframe and IBM i modernization. As a Technical Architect at Precisely, I’ve had the unique opportunity to lead the AWS Mainframe Modernization Data Replication for IBM i initiative, a project that not only challenged our technical capabilities but also enriched our understanding of cloud

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Building new custom silicon for Meta’s AI workloads

Engineering at Meta

The post Building new custom silicon for Meta’s AI workloads appeared first on Engineering at Meta.

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Webinar Summary: Agile, DataOps, and Data Team Excellence

DataKitchen

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. Gil Benghiat, co-founder of Data Kitchen, began by explaining the overarching goal of achieving data team excellence, which involves delivering business value quickly and with high quality.

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Building an infrastructure for AI’s future

Engineering at Meta

An engineer shares how his team is building the foundation for AI infrastructure at Meta, from physical data centers to training AI models.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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A Tool for Quality management

Knowledge Hut

As a young engineer in the mid 90’s, I was asked by the management to co-ordinate the work for a certain sub-system implementation of the Nuclear Power Plant in this country. Needless to say I embraced the opportunity immediately. You can imagine I did not know I was running a project. This is something I realized much later, when I was reading PMI’s definition of what a project entails.

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Building new custom silicon for Meta’s AI workloads

Engineering at Meta

A Meta systems engineer shares how building and scaling our next generation MTIA chip will enable the future of AI.

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A Breakthrough AI-Powered SQL Assistant

Snowflake

Data is the lifeblood of modern businesses, but unlocking its true insights often requires complex SQL queries. These queries can be time-consuming to write and challenging to maintain. At Snowflake, we believe in making the power of data accessible to all. That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools.

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Building an infrastructure for AI’s future

Engineering at Meta

An engineer shares how his team is building the foundation for AI infrastructure at Meta, from physical data centers to training AI models.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Building new custom silicon for Meta’s AI workloads

Engineering at Meta

A Meta systems engineer shares how building and scaling our next generation MTIA chip will enable the future of AI.