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Leading Trends of Fintech Development Services in 2022

Smart Data Collective

They are using big data technology to offer even bigger benefits to their fintech customers. In this article, we will look at the main trends in the field of fintech development services for 2022. Cost optimization. Speaking of global fintech trends, one cannot fail to mention Big Data. Unstructured data.

Finance 116
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Data migration to Snowflake, a comprehensive primer

Octopai

This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment. Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data.

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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

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Five Strategies to Accelerate Data Product Development

Cloudera

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 119
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Throwing Your Data Into the Ocean

Ontotext

According to this article , it costs $54,500 for every kilogram you want into space. A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. You can apply graph optimizations or operations such as traversals and transformations.

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Business Intelligence Solutions: Every Thing You Need to Know

FineReport

Business intelligence can assist decision-making and operation optimization, either at the operational or tactical, or strategic levels. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. All BI software capabilities, functionalities, and features focus on data.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them.