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Recap of Amazon Redshift key product announcements in 2024

AWS Big Data

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

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The Increasing Importance of Open Table Formats

David Menninger's Analyst Perspectives

I previously wrote about the importance of open table formats to the evolution of data lakes into data lakehouses. The concept of the data lake was initially proposed as a single environment where data could be combined from multiple sources to be stored and processed to enable analysis by multiple users for multiple purposes.

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Data Science News from Microsoft Ignite 2019

Data Science 101

Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Synapse allows one to use SQL to query petabytes of data, both relational and non-relational, with amazing speed. Here they are in my order of importance (based upon my opinion). Azure Synapse.

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

CIO Business Intelligence

The launch of the new data management platforms is in line with the trend for cloud service and solution providers to offer vertical solutions with prebuilt capabilities to enable enterprises to adopt applications and realize their value faster. Cloud Computing, Data Management, Financial Services Industry, Healthcare Industry

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Modernize Your ETL Processes, Discover Better Insights

Sisense

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

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Simplifying data processing at Capitec with Amazon Redshift integration for Apache Spark

AWS Big Data

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. Your applications can seamlessly read from and write to your Amazon Redshift data warehouse while maintaining optimal performance and transactional consistency.

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Acquisitions on the Horizon in BI and Data Analytics Industry?

Sisense

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. Two orthogonal approaches to data analytics have developed in this decade of BI: 1. The allure of operationalizing BI in-data is its perceived simplicity.