DataRoad Reflect Available on Cloud Marketplaces
DataRoad Reflect, the platform for accelerating data movement to cloud databases, data warehouse and data lakes is available on both the Amazon Marketplace and the Microsoft Azure Marketplace. Available as a one-click cloud virtual machine setup, Reflect automates movement of large data sets from on-premise to cloud systems in rapid time, with zero coding, no steep learning curve, and minimal effort.
Oak Brook, IL, June 22, 2019 --(PR.com)-- DataRoad Technologies LLC, a leading provider of software and services that accelerate modern data and analytic solutions, announces that DataRoad Reflect is available for immediate use on Amazon’s AWS Marketplace as an Amazon Machine Image (AMI) and on Microsoft’s Azure Marketplace as a Virtual Machine Image (VMI).
DataRoad Reflect simplifies the process of data movement, enabling the population of data lakes, data warehouses and analytic sandboxes. It can even be used to empower analytic users and data scientists to pull their own data sets, all with only a few clicks. Data can be moved with zero coding and without performing any pre-work on target systems, as Reflect automatically maps source data to the new system, creates required objects and moves the data. Reflect can also be used to automate a pipeline to feed data into pre-existing target structures.
Using DataRoad Reflect to accelerate data movement lets Chief Data Officers and their teams focus on delivering advanced analytics, machine learning and artificial intelligence, instead of spending hours programming data migrations. With Reflect, moving data does not have to be a long, drawn-out and costly project. Nor does it require learning the complexities of an ETL tool.
Supporting an array of source and target systems, including data lakes, data warehouses, data marts, operational databases, raw data files and S3 files, Reflect optimizes the ability to monetize data and drive critical business goals. Workflows, scheduling, full loads, and incremental loads enable the movement of hundreds or even thousands of tables or files and terabytes of data. Reflect’s scalable agent-based architecture provides many advanced configuration options for optimizing the most demanding data pipelines.
“Enterprises need tools that help them ingest all types of data rapidly, so that they can get to the real work of analyzing their data and finding key insights that drive results,” stated Matthew Vranicar, President & CEO at DataRoad. “We are pleased to help our customers accelerate their data movement using Reflect’s zero-code approach to support their movement of data and analytic workloads to the Amazon or Azure clouds.”
About DataRoad
DataRoad Technologies provides software solutions and professional consulting services to accelerate integration of complex data sources into data lakes, data warehouses and/or data marts to support critical analytical needs. Experts in defining Roadmaps for analytic programs as well as designing, architecting and building data driven solutions, DataRoad delivers solutions that meet critical business goals and enable its customers to monetize their data assets through analytics.
DataRoad has entered partnerships with Microsoft, Amazon, Hortonworks, Cloudera, MapR, Snowflake, Oracle and Salesforce.com and supports the Reflect platform on these and other technologies, including Azure, AWS, Amazon Redshift, PostgreSQL, MySQL, Hive and more. DataRoad services customers throughout the world from its Chicago-area headquarters. For more information, visit www.dataroadtech.com
DataRoad Reflect simplifies the process of data movement, enabling the population of data lakes, data warehouses and analytic sandboxes. It can even be used to empower analytic users and data scientists to pull their own data sets, all with only a few clicks. Data can be moved with zero coding and without performing any pre-work on target systems, as Reflect automatically maps source data to the new system, creates required objects and moves the data. Reflect can also be used to automate a pipeline to feed data into pre-existing target structures.
Using DataRoad Reflect to accelerate data movement lets Chief Data Officers and their teams focus on delivering advanced analytics, machine learning and artificial intelligence, instead of spending hours programming data migrations. With Reflect, moving data does not have to be a long, drawn-out and costly project. Nor does it require learning the complexities of an ETL tool.
Supporting an array of source and target systems, including data lakes, data warehouses, data marts, operational databases, raw data files and S3 files, Reflect optimizes the ability to monetize data and drive critical business goals. Workflows, scheduling, full loads, and incremental loads enable the movement of hundreds or even thousands of tables or files and terabytes of data. Reflect’s scalable agent-based architecture provides many advanced configuration options for optimizing the most demanding data pipelines.
“Enterprises need tools that help them ingest all types of data rapidly, so that they can get to the real work of analyzing their data and finding key insights that drive results,” stated Matthew Vranicar, President & CEO at DataRoad. “We are pleased to help our customers accelerate their data movement using Reflect’s zero-code approach to support their movement of data and analytic workloads to the Amazon or Azure clouds.”
About DataRoad
DataRoad Technologies provides software solutions and professional consulting services to accelerate integration of complex data sources into data lakes, data warehouses and/or data marts to support critical analytical needs. Experts in defining Roadmaps for analytic programs as well as designing, architecting and building data driven solutions, DataRoad delivers solutions that meet critical business goals and enable its customers to monetize their data assets through analytics.
DataRoad has entered partnerships with Microsoft, Amazon, Hortonworks, Cloudera, MapR, Snowflake, Oracle and Salesforce.com and supports the Reflect platform on these and other technologies, including Azure, AWS, Amazon Redshift, PostgreSQL, MySQL, Hive and more. DataRoad services customers throughout the world from its Chicago-area headquarters. For more information, visit www.dataroadtech.com
Contact
DataRoad Technologies LLC
Joseph Redman
1 (872) 903-3775
dataroadtech.com
Joseph Redman
1 (872) 903-3775
dataroadtech.com
Contact
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