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Hadoop framework News
February 24, 2021
Next Pathway's data scanning and migration tools can now analyze Hadoop ecosystems and translate its codes to cloud-based data warehouses such as Snowflake and Amazon RedShift.
January 15, 2021
Updated MDM service benefits from integrations with the broader cloud-native Informatica platform that is built on top of a microservices Kubernetes-based architecture.
September 18, 2020
WANdisco LiveData Migrator moves Hadoop data while avoiding downtime. Although niche, it solves the hurdle of migrating Hadoop data while it's going through active changes.
July 23, 2020
Enterprise Presto SQL vendor Starburst updated its data query platform with expanded support for legacy Hadoop workloads as well as modern cloud data lake deployments.
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The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications. Continue Reading
Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions. Continue Reading
Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
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Data warehouses and data lakes are both data repositories common in the enterprise, but what are the main differences between the two and which is best for your data? Continue Reading
There are many important parts to a data lake implementation, from technology to governance. Read on for the top factors to evaluate in your implementation strategy. Continue Reading
The latest release of the Apache Kafka open source event streaming platform adds improved replication and availability capabilities to help boost overall performance. Continue Reading
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On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a big data environment. Continue Reading
Many organizations are switching to cloud databases and big data platforms. But understanding what option best meets your data needs is an important first step. Continue Reading
Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say. Continue Reading
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Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading
In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading