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2023 in a nutshell —ride along!

Picnic Engineering

In this blog, we’d like to give you a glimpse into some of the major developments in Picnic Tech in 2023. The end of 2022 marked the beginning of our journey in enhancing Developer Effectiveness, a key initiative for 2023. In tandem with DevEx, in 2023 we also started our Operational Excellence (OpsEx) initiatives.

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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

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Building for Inclusivity: The Technical Blueprint of Pinterest’s Multidimensional Diversification

Pinterest Engineering

These teams work together to ensure algorithmic fairness, inclusive design, and representation are an integral part of our platform and product experience. In early 2023, we announced how we have been using our skin tone signal to shape our recommendations to increase skin tone representation across several surfaces.

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. Data engineering is expected to be among the most sought-after professions in 2023 and beyond. The main duties of an Azure Data Engineer are planning, developing, deploying, and managing the data pipelines.

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Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

Knowledge Hut

Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. Data engineering is also about creating algorithms to access raw data, considering the company's or client's goals. A data engineer can be a generalist, pipeline-centric, or database-centric.

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Top 7 Data Science Trends of 2024 and Beyond

Knowledge Hut

Automating data analytics techniques and processes has led to the development of mechanical methods and algorithms used over raw data. The ML algorithms we use to process the data are also quite large; it's not just big data. These are some of the trends in data science examples: 1.

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Data Engineering Weekly #125

Data Engineering Weekly

Twitter: Twitter's Recommendation Algorithm Twitter open-source its recommendation engine code. link] Tweet Search System (EarlyBird) Design [link] Google AI: Data-centric ML benchmarking - Announcing DataPerf’s 2023 challenges Data is the new code: it is the training data that determines the maximum possible quality of an ML solution.