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Hadoop framework News

February 24, 2021 24 Feb'21
Next Pathway update targets Hadoop migrations

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 15 Jan'21
Informatica takes Customer 360 master data management to cloud

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 18 Sep'20
WANdisco launches automated Hadoop data migrator for AWS

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 23 Jul'20
Starburst advances Presto to handle Hadoop data better

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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big data analytics

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

Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
How to ensure your data lake security

Your data lake is full of sensitive information and securing that data is a top priority. These are the best practices to keep that information safe from hackers. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Data warehouse vs. data lake: Key differences

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
Key factors for successful data lake implementation

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
Apache Kafka version 2.4 improves streaming data performance

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

Learn to apply best practices and optimize your operations.

Should you host your data lake in the cloud?

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
Top database cloud migration considerations for enterprises

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
Data management trends for 2019: Governance, DataOps, cloud

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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7 steps to a successful data lake implementation

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
Kubernetes container orchestration gets big data star turn

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
Panera meets big data challenge of lunchtime operations

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