case study: moving data securely to the cloud with …€¦ · . 6. moving data securely to the...

Moving Data Securely to the Cloud with CORNERSTONE

Confidential - Next Pathway Inc.www.nextpathway.com

CASE STUDY:

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Moving Data Securely to the Cloud with Cornerstone ®

Confidential - Next Pathway Inc.

By 2019, more than 30% of technology providers’ new software investments will shift from “Cloud-First”, to “Cloud-Only”

Virtually every organization will explore Cloud technology

By 2020, anything other than a Cloud-Only Strategy for new IT initiatives will require justification at more than 30% of large-enterprise organizations

By 2021, more than 50% of global enterprises already using Cloud today will adopt an All-In Cloud strategy

In fact, Gartner predicts that:

* Per Gartner Report “Predicts 2018: What Providers of Data and Analytics Need to Know”, Published: November 13, 2017

Cloud-First Cloud-Only

Non Cloud-Only Strategy will require justification

All-In Cloud Strategy

More than 30%

More than 30%of large-enterprise organizations

More than 50%




The primary drivers to Cloud technology are:

Improved agility, scalability and reliability to adapt to changing business requirements

Reducing the time to market for mission-critical business processes, including data access for reporting and BI

Optimizing costs by reducing the investment in legacy hardware and storage

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Confidential - Next Pathway Inc.www.nextpathway.com

With the heavy investment and innovation in Cloud Technologies from Google, Amazon and Microsoft, it’s easy to see why companies will

develop a Cloud Data Strategy.However most large companies have complex infrastructures, with multiple back-end systems and data stores, which presents several challenges when designing a Cloud architecture, such as:

Establishing the right security access controls for role management

Ingesting both streaming and batch data in the Cloud

Architecting a hybrid solution that includes both Cloud and On-Prem, across multiple geographies

Tracking data provenance and ensuring privacy




Follow a well-established and proven Reference Architecture

Defining and abiding by an enterprise reference architecture will help organizations ensure that data is being collected, stored, and accessed in a consistent, governed and secure manner.

Standardize on Metadata Capture

Defining a standard process for capturing metadata is imperative for organizations as they seek to catalogue, discover, and use data across the enterprise. Without metadata, organizations risk having their Cloud Enterprise Data Lake turn into a “Data Swamp”.

Standardize on Ingestion

Organizations must agree on the method, process and tool to standardize how data is ingested across the enterprise. This will reduce the number disparate data silos, to achieve a single source of truth.

Based on our vast experience implementing both legacy and Cloud Enterprise Data Lakes, there are 3 tenets to a successful Cloud data migration plan that must be followed:

Organizations that follow these principles will not only realize all the operational benefits of the Cloud but moreover, they

will find that the data in the Cloud is usable, reliable and secure.




Case Study

A global financial institution with a legacy (on-prem) Enterprise Data Lake (EDL) wanted to move data to the Cloud. They turned to Next Pathway to assist in the planning and execution of the migration strategy.

As part of their strategic plan, this financial institution was looking to migrate both data and applications to the Cloud.

They had concerns about migrating existing data, and ensuring the on-going ingestion of both streaming and batch data.

They also needed to establish a security framework to guarantee that the right roles had appropriate permissions to manage the data within the Data Lake in the Cloud.




A Data Provenance Framework to ensure compliance and enforcement of privacy and the flow of data

A CI/CD Pipeline that will be used for the Cloud but also adaptable for the FI at an enterprise level

A comprehensive Security Model around the Data Lake with Role-Based Access Control (RBAC)

A Multi-Cluster / Multi-Tenant Topology for the Data Lake

A Reference Architecture that can ensure the management and ingestion of streaming data with the appropriate levels of privacy

In addition, we deployed our Data Lake Platform, Cornerstone, in a multi-cluster, multi-tenant architecture.

Cornerstone immediately delivered benefits by:

Automatically delivering a hybrid architecture for Cloud and on-prem out of the box

Reducing time to market for

moving data to the Cloud, with best-in-class data ingestion capabilities

Reducing costs by automating the entire data lifecycle, including security, discovery, and consumption

Next Pathway was able to deliver the following for our client:




Cornerstone Core Features

Automated Metadata-Driven Ingestion Engine

(Batch, Streaming, and Direct to Database)

Self-Service Model for Business; with No Manual

Coding Required

Granular Data Lineage Capture

Data Standardization and Tokenization

Data Registration and Cataloguing

via Metadata

Attribute-Based Access Control Framework

Cornerstone is the leading Big Data product that prepares data for analytics.

Cornerstone is a fully automated, metadata-driven Data Lake Platform, that automates the ingestion, technical standardization, security, metadata capture and lineage of data into Big Data environments or the Cloud – without a single line of code being written.

Find out how Cornerstone is making data easier to collect, prepare and consume.

www.nextpathway.com/cornerstone

Cornerstone® Data Lake Platform

Next Pathway provides organizations with the products and accelerators to Digitally Transform their business.

With progressive advances in digital technology and the need to capture and analyze big data, more than ever companies are turning to technology to innovate their product offerings. Customers want on-demand access to their information and faster delivery of services to meet their growing needs.

The analysis of information is increasingly central to driving strategic competitive advantages. Moreover, regulatory requirements are making it incumbent upon enterprises to retrieve, understand and act upon critical risk information.

New competitors are changing the landscape for traditional companies, making it more important than ever for companies to leverage technology.

Next Pathway helps organizations to collect, clean and prepare data for analytics.


www.nextpathway.com

79 Wellington Street West, Suite 705, TD South Tower, P.O. Box 24Toronto, ONCanada, M5K 1A1

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www.nextpathway.com

Copyright © 2018 Next Pathway Inc.All rights reserved. Cornerstone® is a registered trademark of Next Pathway Inc. under Canadian trademark reg. no. TMA964,114.

All statements in this report attributable to Gartner represent Next Pathway Inc.’s interpretation of data, research opinion or viewpoints published as part of a syndicated subscription service by Gartner, Inc., and have not been reviewed by Gartner. Each Gartner publication speaks as of its original publication date (and not as of the date of this white paper). The opinions expressed in Gartner publications are not representations of fact, and are subject to change without notice.

case study: moving data securely to the cloud with …€¦ · . 6. moving data securely to the...

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