Empower Your Manufacturing Processes with Deal pipelines for manufacturing

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imagine you're a medical device manufacturer monitoring thousands of data points per second from hundreds of thousands of patients and you need to spot a health issue before it becomes serious or you're a bank evaluating daily value at risk across millions of positions spread across markets around the globe in every industry today data is the lifeblood that can make or break a business databricks can help with open source technologies optimized for the speed performance and reliability that your production pipelines require with data bricks you can reliably ingest process and update structured and unstructured data in real time with transactional guarantees and high performance queries for both batch and streaming around the clock your business is generating and storing millions of data points from your customers from your supply chain even from your internal teams you're great at collecting data but it's what you do with it that counts in order to give your teams the data they need to make decisions as fast as possible you need to build automated performant and scalable production pipelines but standing up production pipelines can take even the most experienced data engineer weeks or months and while these pipelines start out performing well for a specific use case when you try to add new data sources they become less performant and reliable lots of small files cause bottlenecks and rigid schemas can't adjust to even minor changes soon job duration and compute costs increase as your pipeline performance degrades fixing mistakes in the data becomes harder and your data lake becomes populated by duplications partial failures or late and out of order data suddenly you're waiting in a data swamp normally higher performance comes with higher costs but the cost of your production pipelines isn't just the price of the engine we've transformed today's complex unreliable pipelines by handling batch and streaming data sources within a single workflow making it easy to add new data sources reducing cluster spin-up time lowering failure rates and speeding up troubleshooting through schema enforcement and evolution and making the process easy throughout with automation and self-service tools as a result we lower total cost of ownership while meeting or exceeding even the most stringent service level agreements across a variety of data use cases what's more with open source you'll never have to worry about vendor lock-in data bricks unlock the full potential of your data