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Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration

AWS Big Data

In today’s data-driven landscape, the efficiency and accessibility of querying tools play a crucial role in driving businesses forward. This innovation not only unlocks new possibilities, but also tackles long-standing challenges in data analytics and query handling.

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Laminar Adds Support for SaaS and BigQuery Data Protection

Laminar Security

Laminar Launches Two New Solutions to Become First Full Data Security Platform for Multi-Cloud and SaaS Environments In today’s data-driven world, cloud computing has become the backbone of innovation and growth for enterprises across all industries. Laminar’s forward-thinking approach addresses these requirements.

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Keynote Takeaways From Gartner Data & Analytics Summit

Sisense

Every year there’s high anticipation to see what key message Gartner will present in the yearly Data & Analytics Summits. The crowd who attends these events are made mostly of analytics leaders in Enterprises. It’s always fun and insightful to be able to talk to so many CDOs, CIOs, data and BI professionals within 2.5

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

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Five benefits of a data catalog

IBM Big Data Hub

You have a specific book in mind, but you have no idea where to find it. You enter the title of the book into the computer and the library’s digital inventory system tells you the exact section and aisle where the book is located. It uses metadata and data management tools to organize all data assets within your organization.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

If you’re a reader, chances are good you’ve read a book from Macmillan. It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This data is leveraged by departments throughout the organization and is essential to their business operations.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

Does data excite, inspire, or even amaze you? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry.