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Get to Know Your Retail Customer: Accelerating Customer Insight and Relevance

Cloudera

There are lessons to be learned from the brick and mortar or pure-play digital retailers that have been successful in the Covid-19 chaos. Since the bulk of the retail season is upon us, I wanted to reflect on the four basic pillars of retail that we see successful companies embody. Personalized Interactions Driven by Data.

Retail 61
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Maximizing Supply Chain Agility through the “Last Mile” Commitment

Cloudera

Now that we have established tailored demand, we need to figure out how to fulfill demand though a robust and capable supply chain, let’s drive into building an agile retail supply chain. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant.

Retail 90
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Apache Spark Use Cases & Applications

Knowledge Hut

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Let’s look at some of the use cases in a few of these organizations.

Scala 52
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Four Vs Of Big Data

Knowledge Hut

Example of Data Variety An instance of data variety within the four Vs of big data is exemplified by customer data in the retail industry. Customer data come in numerous formats. It can be structured data from customer profiles, transaction records, or purchase history.

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Data Warehouse vs. Data Lake

Precisely

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data. They may want to look at those numbers on a daily or weekly basis.

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Introduction to MongoDB for Data Science

Knowledge Hut

MongoDB is a NoSQL database that’s been making rounds in the data science community. MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. Let us see where MongoDB for Data Science can help you.

MongoDB 52
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Veracity in Big Data: Why Accuracy Matters

Knowledge Hut

Variety: Variety represents the diverse range of data types and formats encountered in Big Data. Traditional data sources typically involve structured data, such as databases and spreadsheets. However, Big Data encompasses unstructured data, including text documents, images, videos, social media feeds, and sensor data.