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

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...
Learn More
Buyer's Guide for Data Lake Management in Collaboration with Enterprise Strategy Group
Download Now
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.
Learn More
Architecting Data Lakes

Revised for 2018 - Data Management Architectures for Advanced Business Use Cases
Download Now
[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%
Learn More
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.
Learn More
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.
Download Now
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.
Learn More
Looking to accelerate your data?
Contact Us
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...
Learn More
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...
Learn More
Loading More...

Hadoop Management

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...

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

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.

Architecting Data Lakes

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

[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%

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.

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.

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.

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...

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...