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.

  • Three Methods to Take your Data from Shoddy to Sensational

    Three Methods to Take your Data from Shoddy to Sensational

    Organizations that have mastered the access and understanding of data have promoted multiple paths for users to reliably and securely use data for better business outcomes. But it needs to be trusted.

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  • DM Radio Podcast: Volume, Velocity and Variety? How About Vision?

    DM Radio Podcast: Volume, Velocity and Variety? How About Vision?

    We all know about the three Big Data Vs by now: Volume, Velocity, and Variety. But what’s the tie that potentially binds all of these? Vision! Listen to this on-demand DM Radio podcast to learn more.

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  • Data Provisioning and Automation for Meaningful Business Insights

    Data Provisioning and Automation for Meaningful Business Insights

    Real-time access to data depends on there being minimal bottlenecks to ensure rapid time to insights. To orchestrate & streamline automation, a unified & scalable data platform should be implemented.

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  • Self-Service Data for Your Organization in 3 Logical Steps

    Self-Service Data for Your Organization in 3 Logical Steps

    You can’t truly demonstrate the value of your data lake investment until you enable more business users to access it. The key to making data self-service a reality is right-sized data governance...

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  • What’s Wrong With Today's Data Catalog?

    What’s Wrong With Today's Data Catalog?

    A future-proofed data catalog is what we call an “active data hub,” meaning an integrated catalog that enables faster delivery of “actionable” data to line of business (LOB) users...

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  • Active Data Hubs and the Data-Driven Organization

    Active Data Hubs and the Data-Driven Organization

    Business users need data, lots of it, and faster than ever. Waiting weeks or months for a programmer to code up a report had been the norm until recently. But this practice is no longer acceptable...

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  • 6 Advantages of a Microservices Approach to the Data Lake

    6 Advantages of a Microservices Approach to the Data Lake

    Enabling these microservices to work independently brings a number of advantages that can help you derive more value from your team and the data lake.

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  • How to Make Data Less Difficult

    How to Make Data Less Difficult

    Modernizing a Data Platform: How to shape data flow, refine data quality and right-size data governance for the finding value.

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  • Simplifying Big Data with Zaloni - a RAACOM Event

    Simplifying Big Data with Zaloni - a RAACOM Event

    Zaloni and Raacom have put together a very informative event that will give you the information to set your data platform strategy on the path to success. Join us in Jakarta for this one-day event!

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  • Key Components of a Modern Data Architecture

    Key Components of a Modern Data Architecture

    As organizations evolve their data architecture to solve for emerging use cases, they’re finding this process overwhelming. There are 3 key components to help them overcome those challenges.

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  • Data Governance and Data Science, Working Together

    Data Governance and Data Science, Working Together

    Data discovery sandboxes offer even more value if they are easily merged into an automated end-to-end process between back-end governance and self-service engagement by analysts. Read more!

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  • 8 Key Considerations for Migrating your Data Lake to the Cloud

    8 Key Considerations for Migrating your Data Lake to the Cloud

    To help companies successfully transition to the cloud, following are some recommendations on how to address common challenges, and what you need to consider to inform your cloud strategy.

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  • Modernize your Data Architecture with a Self-Service Data Lake in the Cloud

    Modernize your Data Architecture with a Self-Service Data Lake in the Cloud

    As the volume and type of big data continues to grow, the cloud makes financial sense and provides much-desired on-demand processing and storage scalability.

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  • 6 Reasons Why You Should Move Your Data Lake to the Cloud

    6 Reasons Why You Should Move Your Data Lake to the Cloud

    Now is the time to put the roadmap in place for transitioning your data lake to the cloud based on your enterprise’s needs and how fast you need to move to stay competitive in your industry.

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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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  • 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 – 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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  • 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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  • 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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