zebra case study - datametica.com · client testimonial key achievements datametica was able to...

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CASE STUDY For further details, e-mail us at: [email protected] Datametica was able to build a trustworthy relationship with Zebra Technologies by helping them with numerous facets: Performing jobs beyond the requested and assigned tasks, Datametica received immense appreciation from Zebra Technologies. THE CHALLENGE Zebra Technologies, a tracking technology giant faced challenges with SLA management, high operational costs and scalability. Migrating to a different environment required new technology and appropriate coding. Moreover, ensuring successful matching of data and reports on source and target platforms was essential. To overcome these challenges, Zebra Technologies required solutions for migrating data from the AWS environment to GCP. SOLUTION Based on Google's partner recommendations, Datametica was referred to, for providing solutions to Zebra Technologies. Datametica initiated the process of code migration and refactoring. Automating the reconciliation process by providing greater efficiency, granular comparison, zero data copy, no coding and using faster techniques, Pelican, The Monitor ensured confidence in decommissioning of Legacy Warehouses. With Datametica’s expertise, the SLA task in the GCP environment, (compared to AWS environment) was reduced considerably. The batch was completed and the turnover time was successfully reduced by 2 hours. The process of Data Migration was interrupted with new data entering the environment. To resolve this Datametica utilized DistCp and Google’s service, STS for reconciling the data in an appropriate manner. GIVING DATA WINGS Reduction in time across all executed jobs Converting and upgrading the entire Spark 1.x job to Spark 2.x Creation of Dataproc cluster dynamically based on configuration files to make it more optimal, scalable and affordable A high-speed technology, BigQuery was introduced in the new ecosystem Assisted in streamlining the batch process and making it functionally accurate and optimal Technical workshops conducted to guide Zebra Technologies in understanding new GCP technologies

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Page 1: zebra case study - datametica.com · CLIENT TESTIMONIAL KEY ACHIEVEMENTS Datametica was able to develop separate and configurable Dataproc clusters for each workflow While processing

CASE STUDY

For further details, e-mail us at: [email protected]

Datametica was able to build a trustworthy relationship with Zebra Technologies by helping them with numerous facets:

Performing jobs beyond the requested and assigned tasks, Datametica received immense appreciation from Zebra Technologies.

THE CHALLENGE

Zebra Technologies, a tracking technology giant faced

challenges with SLA management, high operational

costs and scalability.

Migrating to a different environment required new

technology and appropriate coding. Moreover, ensuring

successful matching of data and reports on source and

target platforms was essential. To overcome these

challenges, Zebra Technologies required solutions for

migrating data f rom the AWS environment to GCP.

SOLUTION

Based on Google's partner recommendations,

Datametica was referred to, for providing solutions

to Zebra Technologies.

Datametica initiated the process of code migration

and refactoring. Automating the reconciliation

process by providing greater efficiency, granular

comparison, zero data copy, no coding and using

faster techniques, Pelican, The Monitor ensured

confidence in decommissioning of Legacy

Warehouses.

With Datametica’s expertise, the SLA task in the

GCP environment, (compared to AWS

environment) was reduced considerably.

The batch was completed and the turnover time

was successfully reduced by 2 hours.

The process of Data Migration was interrupted with

new data entering the environment. To resolve this

Datametica utilized DistCp and Google’s service,

STS for reconciling the data in an appropriate

manner.

G I V I N G D A T A W I N G S

Reduction in time across all

executed jobs

Converting and upgrading the

entire Spark 1.x job to Spark 2.x

Creation of Dataproc cluster

dynamically based on

configuration files to make it more

optimal, scalable and affordable

A high-speed technology,

BigQuery was introduced in

the new ecosystem

Assisted in streamlining the batch

process and making it

functionally accurate and optimal

Technical workshops conducted

to guide Zebra Technologies in

understanding new GCP

technologies

Page 2: zebra case study - datametica.com · CLIENT TESTIMONIAL KEY ACHIEVEMENTS Datametica was able to develop separate and configurable Dataproc clusters for each workflow While processing

For further details, e-mail us at: [email protected]

CLIENT TESTIMONIAL

KEY ACHIEVEMENTS

Datametica was able to develop separate and configurable Dataproc

clusters for each workflow

While processing code refactoring, we identified existing bugs in

production code and assisted in debugging and rewriting

affected applications

Migration f rom Oozie to Composer was implemented successfully

Quicker access to underlying data was made possible by BigQuery

implementation

Upgrading f rom Spark 1.x to Spark 2.x was successful

Jenkins setup automated the code deployment process

GCP PRODUCTS WE USED

Datametica ensured a seamless migration f rom AWS

environment to GCP for Zebra Technologies Asset

Visibility IQ. This assisted in improving the SLA

timings. The Composer airflow upgraded the

dependencies between multiple workflows,

improving the data quality.

Datametica delivered advanced services like

Inf rastructure setup and resource provisioning, code

migration and refactoring, Cloud Composer, optimal

cluster configurations and BigQuery implementation.

This simplified the complex migration process and

helped Zebra Technologies overcome challenges

related to time, cost and scalability.

CLIENT BENEFITS

BIG QUERY

CLOUD IAM

CLOUD DATAPROC

CLOUD STORAGE

CLOUD SQL

STACKDRIVER

CLOUD COMPOSER

Zebra engaged Datametica to assist in migrating from AWS to GCP to solve the performance issues we were noticing when

running our applications on AWS. We also were looking at optimizing our cost structure and re-look at the overall infrastructure

architecture. Datametica provided their exceptional expertise on GCP to bring in some of the critical architectural optimizations

involving Data Proc, Composer and other technologies. They not only helped Zebra to migrate but also performed an upgrade to

our Spark code from 1.X to 2.X. The code migration involved extensive collaboration between teams to understand the

functionality of the application and to suggest the technical approach to upgrade. Some of the complex workflows were

updated and migrated seamlessly. I was especially impressed with Datametica’s willingness to go the extra mile to do the right

thing than taking shortcuts. The overall commitment and ownership shown by Datametica leadership was outstanding and

was critical in the on time delivery of the initiative.

by- Pramod Patil, Director Product Engineering, Zebra Technologies