Hadoop framework news, help and research

Hadoop framework News

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.
January 14, 2020 14 Jan'20
Former Hortonworks leader named new Cloudera CEO

Cloudera finds a new leader, pulling the former CEO of Hortonworks back into the fold to help set the direction for the big data Hadoop vendor as it moves forward in 2020.
September 25, 2019 25 Sep'19
Cloudera Data Platform gives big data users multi-cloud path

Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.

Bring yourself up to speed with our introductory content

Apache Hadoop YARN

Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading
big data analytics

Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make... 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.

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
Data warehouse vs. data lake vs. data mart: Beyond the RDBMS

There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. 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

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

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