Accelerate and simplify migrations to a modern cloud architecture
By Tony Velcich, Feb 01, 2021 in Industry
Accelerate and simplify migrations to a modern cloud architecture
By Tony Velcich, Sr. Director of Product Marketing at WANdisco and
Barry Tuthill, VP – Field Operations at Impetus Technologies Inc.
The Data-driven Revolution
There is no doubt that the world is now data-driven. We are standing at the early stages of the fourth industrial revolution, which is altering the way we live, work, and relate to one another. The fourth industrial revolution is all about data and data intelligence, marked by technology breakthroughs in AI, machine learning, autonomous vehicles, robotics, IoT, connected devices, networks, and all the data being generated.
This is not brand new. For several years we have seen organizations going through digital transformations and trying to optimize their infrastructure to make more effective use of their data and become data-driven.Since January 2010, we have seen Hadoop become an essential part of the data management landscape that most organizations used when building out their data lake infrastructure.
While Hadoop offered a cost-effective way to store petabytes of data across a distributed environment, it introduced many complexities to manage the on-premises environments. The systems required specialized IT skills, and the on-premises environments lacked the flexibility to quickly scale the systems up and down as usage demands changed.
Cloud Data Migration
The management complexity and flexibility challenges associated with on-premises Hadoop environments are much more optimally addressed in the cloud. Not only do cloud object stores provide enhanced scalability, elasticity, and manageability at lower costs, they also offer easier integration with the other services offered by the Cloud Service Providers (CSPs), including their own Hadoop compatible offerings such as Amazon EMR, Azure HDInsight, and Google Dataproc.
While organizations have benefited from the performance, flexibility, and cost savings offered by the cloud, many enterprises have struggled with this digital transformation. Cloud data migration is fraught with business risks, including disruption of critical business operations, risk of data loss, and overall project complexities that often result in cost overruns or failed initiatives.
Organizations need a data migration approach that reduces and eliminates these business risks.They need a solution that lets them maintain business operations that can be performed easily, ensuring a complete and continuous migration with zero data loss and maintaining consistency across distributed environments. WANdisco LiveData Cloud Services provide these solutions.
WANdisco LiveData Cloud Services
LiveData Cloud Services is WANdisco’s portfolio of products that enable petabyte-scale cloud data migration as well as active-active data replication to create a LiveData environment where data is always available, accurate, and consistent. With zero downtime and zero data loss, WANdisco LiveData Cloud Services keep geographically dispersed data at any scale consistent between on-premises and cloud environments allowing businesses to operate seamlessly in a hybrid or multi-cloud environment.
LiveData Migrator automates the migration of HDFS data to the cloud. It is entirely non-intrusive and requires zero changes to applications, cluster, node configuration, or operation. Migrations of any scale can begin immediately and be performed while the source data is under active change without requiring any production system downtime or business disruption, and with zero risk of data loss.
Thinking beyond data migration: Workload conversion, optimization, and operationalization
In conjunction with the WANdisco solution, Impetus Technologies can help you orchestrate the ecosystem of processes, data sources, and workloads dependent on that data.
Of special mention are Impetus solutions, including the Impetus Automated Workload Transformation Solution that can convert or rearchitect legacy big data systems to ‘any-and-all’ cloud-native services of your choice.
Another solution offered by Impetus can accelerate analytic solution development, quality data testing, and efficient cluster utilization of Hadoop-based solutions to improve the performance of data operations in the cloud.
The Impetus Workload Transformation Solution can help you migrate and operationalize workloads with its 4-step approach – assessment, transformation, validation, and execution.
Provides ML-based assessment and recommendation for the target architecture and tech stack
Helps you move all things around your data — Maps and transforms queries, ETL code, applications, reporting, and analytical workloads to the cloud
Enables you to avoid business disruption with automated conversion of business logic, query validation, and code optimization
Provides end-to-end transformation to cloud-native services of your choice
Provides end-to-end packaging, orchestration, and execution for the target
Ensures cost-performance ratio optimization of migrated workloads
Ensures implicit data governance and security compliance
Additionally, Impetus solution can help you optimize your data by:
Monitoring clusters with node system-level fine-grained statistics.
Profiling MapReduce jobs in a cluster to provide insights into CPU and heap dumps of Hadoop job, enabling developers and DevOps team to identify bottlenecks and identify jobs that require optimization to increase execution efficiency.
Finding anomalies in the data lake based on data quality requirements specified by the user.
Keeping an eye on the quality of the ingested data.
Classifying and categorizing data according to the user requirement.
Once you have optimized your data for the cloud environment, you can operationalize your data and workloads on the cloud with the help of our services:
Optimally plan target capacity
Stabilize the target environment through a parallel run period
Take advantage of the continuous integration and delivery (CI/CD) model
Enable effective operational monitoring
The combination of WANdisco and Impetus enables organizations to accelerate and simplify their migrations of on-premises Hadoop to a modern cloud architecture. WANdisco’s LiveData Cloud Services provides fully automated solutions for a complete and continuous data migration and replication approach with zero downtime, zero data loss, and the fastest time-to-value of the new cloud environment. The Impetus Workload Transformation Solution enables intelligent and automated end-to-end transformation, operationalization, and transitioning of ETL, data warehouse, and analytics workloads to cloud-native modern platforms.