Hadoop Management

Set your organization up for success with Hadoop. Zaloni operationalizes the data lake through unified management, governance and self-service in one platform.

  • Kafka in action: 7 steps to real-time streaming from RDBMS to Hadoop

    Kafka in action: 7 steps to real-time streaming from RDBMS to Hadoop

    For enterprises looking for ways to more quickly ingest data into their Hadoop data lakes, Kafka is a great option. What is Kafka? Kafka is a distributed, scalable and reliable messaging system...

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  • Train Your (Hadoop) Elephant with Fewer Data Lake Management and Governance Tools

    Train Your (Hadoop) Elephant with Fewer Data Lake Management and Governance Tools

    In the past year, the focus of big data has expanded from creating new streaming and computing frameworks into creating ways to manage and control these frameworks. Unfortunately, none of the...

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  • Buyer's Guide for Data Lake Management in Collaboration with Enterprise Strategy Group

    Buyer's Guide for Data Lake Management in Collaboration with Enterprise Strategy Group

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  • How to Ingest XML into Hive for Easy SQL Queries

    How to Ingest XML into Hive for Easy SQL Queries

    How can you use standard Hadoop components to ingest common business-facing data sources as quickly as easily as possible? Start by ingesting XML into Hive for easy SQL queries.

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  • Architecting Data Lakes

    Architecting Data Lakes

    Revised for 2018 - Data Management Architectures for Advanced Business Use Cases

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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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  • [Demo] Hydrating the Lake: Managed Ingestion

    [Demo] Hydrating the Lake: Managed Ingestion

    Zaloni's Managed Ingestion solution is a scalable, industrial-strength, data ingestion engine that provides a strong foundation for a fully operationalized data lake and reduces time and effort by 75%

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  • Hive Basics - Elasticsearch Integration

    Hive Basics - Elasticsearch Integration

    The concerns and benefits of using the Elasticsearch-Hadoop connector for extending the existing external table structures of Hive. Greg Wood explains how to set up your own ES-Hadoop connector.

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  • Report: Big Data Management Software for the Data-Driven Enterprise

    Report: Big Data Management Software for the Data-Driven Enterprise

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  • How Data Lakes Work

    How Data Lakes Work

    Excerpt from ebook, Architecting Data Lakes: Data Management Architectures for Advanced Business Use Cases, by Ben Sharma and Alice LaPlante.

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  • So, You Want to Be a Tech Visionary? An Executive Guide to Data Lakes

    So, You Want to Be a Tech Visionary? An Executive Guide to Data Lakes

    You’ve heard it time and time again: cloud is the future; those who don’t adopt modern big data practices will fall behind the pack; the next wave of IT disruption is right around the corner. And...

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  • Realizing the Promise of a Hadoop Data Lake

    Realizing the Promise of a Hadoop Data Lake

    76% of Hadoop implementations fail, but yours doesn't have to. Learn the secret to success with Hadoop data lake management and governance.

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  • How to Choose a Hadoop Distribution: Understanding Versioning

    How to Choose a Hadoop Distribution: Understanding Versioning

    This is the first in a multi-part series of blogs discussing Hadoop distribution differences to help enterprises focus on the important factors involved in choosing a Hadoop distribution—without...

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  • Data Lake Archiving: Hadoop or the Cloud?

    Data Lake Archiving: Hadoop or the Cloud?

    The storage layer of the data lake is evolving. A few years ago, when we talked about the data lake, it was generally understood that Hadoop was the underlying platform for everything related to...

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  • Open Source: How Open Is It?

    Open Source: How Open Is It?

    This is the second in a multi-part series of blogs discussing Hadoop distribution differences to help enterprises focus on the important factors involved in choosing a Hadoop distribution—without...

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  • Waste Not: Offload DW Storage and ETL to Hadoop

    Waste Not: Offload DW Storage and ETL to Hadoop

    Four reasons to migrate storage and large-scale or batch processing to Hadoop that lets both the EDW (enterprise data warehouse) and Hadoop do what they do best.

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  • Your First Big Data Success: Choosing the Right Use Case

    Your First Big Data Success: Choosing the Right Use Case

    Why choosing the right use case is the difference between Hadoop success and failure.

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  • Why the Right Data Governance Platform Matters for Hadoop

    Why the Right Data Governance Platform Matters for Hadoop

    Having the right data management platform for your Hadoop project is very important. The right platform can improve your data governance, data quality, and much more.

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  • How to get your IT team ready for a Successful Hadoop Implementation

    How to get your IT team ready for a Successful Hadoop Implementation

    Transitioning to Hadoop isn’t easy and not all use cases are suitable candidates. However, if you’ve determined that using Hadoop will help you achieve your business goals and you’ve identified a...

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  • Shift your thinking: Hadoop isn’t just another relational database

    Shift your thinking: Hadoop isn’t just another relational database

    Most of us in the data management space are familiar with relational databases and their ETL tools. That’s why, as companies implement Hadoop, IT teams sometimes use the same relational database...

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