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Leading Trends of Fintech Development Services in 2022

Smart Data Collective

More and more fintech startups are focusing not only on the B2B but also on the B2C segment, which is facilitated by the growth of the overall financial literacy of the target audience and the increase in the number of private investors. Fintech in particular is being heavily affected by big data. Unstructured data.

Finance 130
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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. to perform B2B operations. Data has grown not only in terms of size but also variety.

Big Data 100
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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages. The departments include teams from engineering to sales and marketing.

Data Lake 103
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Reference guide to analyze transactional data in near-real time on AWS

AWS Big Data

With this zero-ETL approach, Amazon Redshift Streaming Ingestion enables you to connect to multiple Kinesis data streams or Amazon Managed Streaming for Apache Kafka (Amazon MSK) data streams and pull data directly to Amazon Redshift without staging data in Amazon Simple Storage Service (Amazon S3).

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

This shift is driving a hybrid data integration mentality, where business teams are given curated data sandboxes so they can participate in building future use cases such as mobile applications, B2B solutions, or IoT analytics. DataRobot Data Prep. 3) The emergence of a new enterprise information management platform.