Data conversion can be tricky, and small errors can lead to big problems. I found a helpful blog that highlights the top 7 data conversion mistakes and how to avoid them.: The key mistakes include insufficient planning and documentation, neglecting data quality assessment, and overlooking data backup and recovery. The blog also shares actionable solutions to avoid these mistakes and streamline the data conversion. Check it out for practical tips: Top 7 Data Conversion Mistakes and Solutions. What’s the most challenging part of data conversion for you? Let’s discuss! submitted by /u/andrewh_7 ..read more

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My team and I are working on a project to quantify clutch performance in the NBA by analyzing play-by-play data from close games. We’re trying to determine which players perform best during the last five minutes of a game while the score difference is within 6 points. In order to create a fair scoring system for a "clutch score" we assigned weights to key actions. The weights are based off the expected win percentage added (eWPA) by each action. || || |Action|Weight (eWPA)| |Made (missed) 3-Point Shot|0.040 (-.040)| |Made (missed) 2-Point Shot|0.020 (-.020)| |Rebound|0.0115| |Made Free Throw ..read more

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El comercio electrónico es un campo que siempre será competitivo. Hemos tratado varios temas relacionados con el raspado de datos de determinados sitios de comercio electrónico como Amazon, Shopify, eBay, etc. Sin embargo, la realidad es que muchos minoristas pueden tener varias estrategias de marketing en diferentes plataformas, incluso para un solo artículo. Si desea comparar la información de los productos en diversas plataformas, el scraping de Google Shopping le ayudará a ahorrar mucho tiempo. Conocido anteriormente como Product Listing Ads, Google Shopping es un servicio online proporci ..read more

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As I’m a 23 yr old grad student in data science, my question professor given me a project where I must use databricks community edition and pysprak for applying machine learning algorithms. I’m very near to the deadline I need some project ideas and help as I’m a beginner. submitted by /u/Large-Respect5139 [visit reddit] [comments ..read more

Most data migrations are complex and high-stakes. While it may not be an everyday task, as a data engineer, it’s important to be aware of the potential risks and rewards. We’ve seen firsthand how choosing the right partner can lead to smooth success, while the wrong choice can result in data loss, hidden costs, compliance failures, and overall headaches. Based on our experience, we’ve put together a list of the 10 most crucial factors to consider when selecting a data migration partner: ? Full List Here A couple of examples: Proven Track Record: Do they have case studies and references that ..read more

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Hi! As the title suggest I'm currently a chemical engineering undergraduate who needs to create a big data simulation using matlab so I really need help on this subject. I went through some research article but I'm still quite confused. My professor instructed us to create a simple big data simulation using matlab which she wants next week. Any resources which could help me? submitted by /u/Tanaarc [visit reddit] [comments ..read more