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Recap of Hadoop News for September

ProjectPro

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. To compete in a field of diverse data tools, Vertica 8.0 has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline.

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Travel Analytics: Data Sources, Use Cases, and Real-Life Examples

AltexSoft

Beyond its fundamental role in elevating customer experience, travel analytics has a valuable impact on revenue growth and cultivating a competitive edge. This article explores the influence of analytics on marketing strategies, revenue management, guest personalization, and other aspects of the travel industry.

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Data Warehouse Migration Best Practices

Monte Carlo

In this post, we’ll examine some best practices for migrating your data to a cloud solution, show you how to develop your own migration strategy, and take a closer look at some popular cloud warehouse solutions that you might consider for your platform. And who’s responsible for managing the platform post-launch? Let’s jump in!

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Declarative Machine Learning Without The Operational Overhead Using Continual

Data Engineering Podcast

Tristan Zajonc recognized the complexity that acts as a barrier to adoption and created the Continual platform in response. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. Who are the target users of Continual?

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Scale Your Analytics On The Clickhouse Data Warehouse

Data Engineering Podcast

Summary The market for data warehouse platforms is large and varied, with options for every use case. ClickHouse is an open source, column-oriented database engine built for interactive analytics with linear scalability. What are the opportunities and tradeoffs presented by that platform for Clickhouse?

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Top 10 Big Data Companies of 2023

Knowledge Hut

Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Next-generation artificial intelligence and significant advancements in data mining and predictive analytics tools are driving the continued rapid expansion of big data software.