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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

Their AI engine can automatically learn data structures and relationships, simplifying the integration process and minimising the need for manual configuration. AI-powered data integration solutions are particularly effective in handling complex, unstructured data sources, such as social media feeds, sensor data, and customer interactions.

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How Big Data Is Influencing Web Design and What You Can Learn from It

Smart Data Collective

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

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The Benefits of Data Governance in Banks and Financial Institutions

Alation

In banks, this means: Setting data format standards. Identifying structured and unstructured data that needs to be protected. Tagging data types. Monitoring and measuring to identify improvements. Establishing a data governance program can feel like an overwhelming task, especially at the beginning.

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Back to the Financial Regulatory Future

Cloudera

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

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How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3. AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code.