Blog

Articles that represent the viewpoints and helpful advice of both Zaloni and contributing experts, dedicated to every customer's success with analytics-ready data lakes.

  • What is a Cloud Data Lake?

    What is a Cloud Data Lake?

    Whether you're planning to start a data lake on AWS, Azure, Google Cloud or a combination of the three, it requires a thoughtful approach and a data platform that can handle a multi-cloud environment.

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  • How to Build Your Own Sqoop Plugin

    How to Build Your Own Sqoop Plugin

    Apache Sqoop is a tool designed for efficiently transferring bulk data between Hadoop and structured data stores. Learn to build your own custom tool in Sqoop to implement your own logic!

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  • Easily Find your Data within the Zaloni Data Platform

    Easily Find your Data within the Zaloni Data Platform

    Have access to your data like never before with the Zaloni Data Platform 5.0 persistent global search.

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  • 5 Zaloni Data Platform Features for Easier Data Management [Infographic]

    5 Zaloni Data Platform Features for Easier Data Management [Infographic]

    The Zaloni Data Platform (ZDP), version 5.0, provides exciting new features to address the growing demands of data-driven companies. Take your data lake management to the next level with the ZDP.

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  • Inside Analysis Podcast: Architecting the Cloud

    Inside Analysis Podcast: Architecting the Cloud

    All roads lead to cloud: (almost) everyone knows that now. Check out this episode of Inside Analysis to hear host Eric Kavanagh interview several experts, including Parth Patel.

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  • Data Lakes: A Look Ahead

    Data Lakes: A Look Ahead

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  • Data Lake in the Cloud, Hybrid, or On-Premise?

    Data Lake in the Cloud, Hybrid, or On-Premise?

    Excerpt from "Architecting Data Lakes - Second Edition" by Ben Sharma. It doesn't matter where your data lake resides as long as you have a robust, metadata-focused data management platform in place.

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  • Data Lakes in the Cloud - Best of Both Worlds

    Data Lakes in the Cloud - Best of Both Worlds

    Strategy for a data lake in the cloud is complex with many pathways. Here are four considerations that should be top of mind to get you started on a path toward your next-generation data lake.

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  • Don't Give Up on Your Data Lake

    Don't Give Up on Your Data Lake

    Turn around your underperforming data lake using a metadata-based approach to make it a successful part of your big data ecosystem

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  • Data Lakes – Build Your Future-Proof Technology Stack

    Data Lakes – Build Your Future-Proof Technology Stack

    When selecting your data lake technology stack, it is important to choose technologies that are scalable, extensible, modular and interoperable.

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  • What’s Your Big Data Maturity Level?

    What’s Your Big Data Maturity Level?

    Building a data lake stack is a complex undertaking. We find it helpful to approach it as a long-term journey and frame the process in terms of "maturity." We outline the 5 stages of Big Data Maturity

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  • An Operationalized Data Lake is Your Best Bet for GDPR Compliance

    An Operationalized Data Lake is Your Best Bet for GDPR Compliance

    Don't think of a data lake as just a repository of data. When managed with a holistic platform a data lake can be one of the best architectures to achieve GDPR compliance.

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  • Partitioning in Hive

    Partitioning in Hive

    The concept of partitioning in Hive can make a huge difference in the execution time of large datasets. Here we provide instructions on how to create your own partitions.

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  • Leveraging Big Data Lessons to Optimize Data Lakes for IoT

    Leveraging Big Data Lessons to Optimize Data Lakes for IoT

    Zaloni has optimized data lakes and data management for the next big data surge – the avalanche of data from the Internet of Things (IoT).

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  • 10 Measures for GDPR Compliance [Infographic]

    10 Measures for GDPR Compliance [Infographic]

    GDPR is quickly becoming a global data privacy crisis. Businesses are finding out what's needed to ensure compliance - and it’s not going to be easy. We highlight 10 steps to help you along the way.

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  • Cluster Disposability in Hadoop

    Cluster Disposability in Hadoop

    With the advent of new technologies and techniques, it's now possible to have an entire cluster be disposable. This is another way for you to gain a competitive advantage.

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  • Performance Tuning an HBase Vault

    Performance Tuning an HBase Vault

    The solution to achieving performance for a big data application is often hidden in the kind of data being processed. Follow our real-world example to see how we shaved hours off our algorithm.

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  • Make Big Data Simple [Infographic]

    Make Big Data Simple [Infographic]

    Zaloni's Data Lake in a Box solution is here to simplify your big data journey.

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  • 4 Top Data Governance Observations from DGIQ 2017

    4 Top Data Governance Observations from DGIQ 2017

    Data governance is a huge, important, complex topic, but absolutely one worth taking the effort to consider. Here are several key points from DGIQ17 to begin this thought exercise.

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  • 3 Hacks to Get the Most From Sqoop

    3 Hacks to Get the Most From Sqoop

    Sqoop is a very effective tool in transferring huge amounts of bulk data between RDBMS and Hadoop. However, there are some issues. Luckily, we've got you covered with 3 useful Sqoop hacks.

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