Cloud Analytics

The primary driver leading enterprises to migrate data to the cloud is usually related to cloud analytics. Organizations today have either started out as digital companies or are undergoing a digital transformation in order to remain competitive. There is an ever-increasing volume, velocity and variety of data available to organizations that they want to utilize for AI and machine learning (ML) to improve customer experience, product planning, investments and overall business decision making.

Most of the innovation in this space is occurring in the cloud. It is driving organizations to leverage the advanced storage and elastic compute infrastructures, the advanced AI and ML capabilities, and business intelligence tooling provided by the cloud service providers (CSPs) as well as third-party ISVs.

Functionality provided by cloud object stores exceeds that which is natively provided by HDFS, and the CSPs own Hadoop offerings such as Amazon EMR and Azure HDInsight take advantage of the same stored data and built-in object storage capabilities.

One of the fastest growing cloud analytics ISVs is Databricks. Founded by the original creators of Apache Spark, Databricks offers a Unified Analytics Platform that spans data science, ML and data engineering.

Amazon EMR

Amazon EMR is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark, on AWS to process and analyze vast amounts of data.

Azure HDInsight

Azure HDInsight is a managed, full-spectrum, open-source analytics service that makes it easy, fast, and cost-effective to process massive amounts of data. HDInsight enables enterprises to use the most popular open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, R, and more.


Databricks Unified Data Analytics Platform is a cloud-based service providing the ability to run data processing and machine learning workloads at scale and all in one place.

Migration to Databricks

LiveData Migrator provides a comprehensive solution for migrating Hadoop data and Hive metadata, as well as the last mile migration to the format required by Delta Lake on Databricks. This enables users to manage the complete migration (data and metadata) to Databricks using a single solution. Migrated data becomes immediately available in Databricks enabling the fastest time to business insights.

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