Recursion is a biotechnology company founded in 2013, headquartered in Salt Lake City, Utah. It accelerates drug discovery by combining experimental biology, artificial intelligence, automation, and real-time event streaming. It has built a system that processes over three petabytes of biological image data generated on Recursion’s robotic platform. The company
A data pipeline architecture is complex. With the continuous advancement, it becomes even more challenging to comprehend the structure and be decisive about the tools and technologies for the data pipelines. However, it is easy to understand it when you connect it with the day-to-day scenario. For example, a data
When you deploy machine learning, big-data analytics, and data science in real-time, you need to remember that model training and analytics tuning occupies only a portion of the work. Around 50% of the effort is dependent upon grooming the data for Machine Learning and Analytics. The rest of the effort
Have you ever star-gazed? Let’s imagine that you are counting the number of stars in the sky. Would you be able to count all the stars? You can categorize them for sure. That’s exactly how abundant data is nowadays. When you allow data flow from one location to the next,
Charter Communications, Inc. is a leading broadband connectivity company and cable operator. Through their brand, Spectrum, they offer a full range of state-of-the-art residential and business services including Spectrum Internet®, TV, Mobile, and Voice in 41 states for more than 30 million customers. As customers always require better reliability, competitive
What is a Data pipeline? A data pipeline is a system where data is transferred in chunks in a serial and systematic manner (Messages, records) between systems. These flows are well defined, audited and might contain sensitive information, which needs to be secured. These pipelines can be application queues, transfers
Data is indeed the new oil, and real-time data processing & real time stream processing is the one that unlocks its potential to drive businesses in this technologically advanced era. Now, businesses need high-speed data pipelines more than before, to streamline their processes and match the customer’s expectations. A report
Apache Spark is one of the most popular frameworks for big data analysis. This framework is written in Scala, because it is functional language and very scalable. It also can be quite fast because it's statically typed, and it compiles in a known way to the JVM. Hence, most of
In this article, we will see how to implement a data pipeline from an application to Mongo DB database and from there into an Elastic Search keeping the same document ID using Kafka Connect in a Microservice Architecture. In recent days and years, all the microservices architectures are asynchronous in
