Remove Business Intelligence Remove Data Lake Remove Metadata Remove Unstructured Data
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Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights.

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Salesforce debuts Zero Copy Partner Network to ease data integration

CIO Business Intelligence

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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Informatica’s new data management clouds target health, finance services

CIO Business Intelligence

The Intelligent Data Management Cloud for Financial Services, like Informatica’s other industry-focused platforms, combines vertical-based accelerators with the company’s suite of machine learning tools to help with challenges around unstructured data and quick data-based decision making. .

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

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Data architecture strategy for data quality

IBM Big Data Hub

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.