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.

  • Becoming the Next Modern Bank

    Becoming the Next Modern Bank

    Digitalizing consumer banking in the Middle East to meet consumer needs is a massive digital disruption for the industry. Banks need to adopt new digital technologies to stay relevant.

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  • Zaloni Recap of Strata New York 2019

    Zaloni Recap of Strata New York 2019

    The Strata Data Conference covers key data management trends that are present in the big data industry today (and in the future). We've put together this summary for those that couldn't make the show.

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  • Unifying Your CRM and Customer Data into Golden Records

    Unifying Your CRM and Customer Data into Golden Records

    Understanding customers has become critical for companies who want to provide customized and unique experiences for their customers, but first they need access to accurate and reliable customer data.

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  • Get More Value from your Data with Zaloni

    Get More Value from your Data with Zaloni

    Getting the most out of your data involves many different aspects of a data platform but ultimately boils down to access to that data. We’ve been adding new features to our platform to help with this.

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  • What is ESG data?

    What is ESG data?

    ESG stands for economic, social, and governance. It’s a way to measure the “good” that companies do in the world. This data is used by investment firms for responsible investing portfolios.

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  • Zaloni @ Venture ATL

    Zaloni @ Venture ATL

    We’re very excited to be chosen among the select few companies to be presenting at Venture Atlanta this October.

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  • How to Prep for Strata NY

    How to Prep for Strata NY

    Follow these simple tips to get the most out of your time at Strata NY!

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  • 5 Tips for Selecting a Data Management Solution

    5 Tips for Selecting a Data Management Solution

    Data management, data lineage, metadata management, governance, and cloud capabilities shouldn't be all you look at for a data management solution. Keep these tips in mind too.

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  • 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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  • 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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