Mainline provides an Infrastructure Data Analysis service to identify invalid or unnecessary data stored on clients' storage systems, recommend proper placement of valid data across storage tiers, and define retention policies. The service analyzes metadata using a cloud-based tool to profile data usage and characteristics, with deliverables including storage capacity analysis, opportunities to clean up data, and data placement recommendations. This helps optimize storage usage, reduce costs, and ensure critical business data is stored appropriately.
Matt Aslett (The451Group) and Deirdre Mahon (RainStor) examine the evolving data management landscape and how RainStor's Online Data Retention (OLDR) repository fits into the equation.
Built on Oracle Analytics Cloud and powered by Oracle Autonomous Data Warehouse Cloud, Fusion Analytics Warehouse
(FAW) provides Oracle ERP and HCM Cloud Application customers with best-practice key performance indicators (KPIs)
and actionable insights driven by advanced analytics
Matt Aslett (The451Group) and Deirdre Mahon (RainStor) examine the evolving data management landscape and how RainStor's Online Data Retention (OLDR) repository fits into the equation.
Built on Oracle Analytics Cloud and powered by Oracle Autonomous Data Warehouse Cloud, Fusion Analytics Warehouse
(FAW) provides Oracle ERP and HCM Cloud Application customers with best-practice key performance indicators (KPIs)
and actionable insights driven by advanced analytics
You Need a Data Catalog. Do You Know Why?Precisely
Data catalog has become a more popular discussion topic within data management and data governance circles. “What is it?” and “Do I need one?” are two common questions; along with “How does a catalog relate to and support the data governance program?”
The data catalog plays a key role in the governance process; How well information can be managed, aligned to business objectives and monetized depends in great part to what you know about your data.
In this webinar you will learn about:
- The role of the data catalog
- What kinds of information should be in your data catalog
- Those catalog items that can be harvested systemically versus those that require stewardship involvement
- The role of the catalog in your data quality program
We hope you’ll join this on-demand webinar and learn how a data catalog should be part of your governance and data quality program!
Get the most out of your AWS Redshift investment while keeping cost downAgilisium Consulting
Amazon Redshift offers many powerful features. Yet, there are many instances where customers encounter sloppy performance and cost upheavals beyond control.
Scaling AWS Redshift clusters to meet the increasing compute and reporting needs, while ensuring optimal cost, performance and security standards is quite a challenge for many organizations.
This webinar covered the following,
• Understand key design/architectural considerations of AWS Redshift
• Tips & Tricks to optimize Cost & Performance
• How Agilisium helped clients reduce AWS Redshift run cost up to 40%
Presented by:
Jay Palaniappan - CTO & Head of Innovation Labs || Smitha Basavaraju - Big Data Architect || Arun Chinnadurai - Associate Director – BD
SAP Data Services is a data integration and transformation software application. It also supports changed-data capture (CDC), which is an important capability for providing input data to both data-warehousing and stream-processing systems.
It is an ETL tool which gives a single enterprises level solution for data integration, Transformation, Data quality, Data profiling and text data processing from the heterogeneous source into a target database or data warehouse.
Webcast slides for "Low Risk and High Reward in App Decomm with InfoArchive a...Tom Rieger
Platform 3 Solutions presented these slides on January 17, 2019 with Opentext to give everyone an opportunity to understand the value in removing systems from their operations
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.
WEBINAR: Salesforce Data Archive using External Platforms (AWS, Azure, Heroku...DataConnectiva
Check out the webinar slides to learn how Salesforce data can be archived to any external database leveraging various cloud/on-prem platforms with DataConnectiva. If you want to know more about the product & its capabilities, please get in touch at: sales@dataconnectiva.com
VILT - Archiving and Decommissioning with OpenText InfoArchiveVILT
OpenText InfoArchive is an application-agnostic solution, for managing information and archiving, supporting different enterprise needs of information ingestion, for all kinds of applications.
It allows for the application management cost reduction, an information governance enhancement while adding value to the business process through information re-utilization.
It provides four information ingestion methods, in order to cover the most demanding requirements on all concurrent projects, while optimizing the information source application.
With OpenText InfoArchive there is no need to go for a single approach for all archiving and decommissioning needs.
THE FUTURE OF DATA: PROVISIONING ANALYTICS-READY DATA AT SPEEDwebwinkelvakdag
Data lakes & data warehouses, whether on-premises or in the cloud promise to provide a centralized, cost-effective and scalable foundation for modern analytics. However, organisations continue to struggle to deliver accurate, current and analytics-ready data sets in a timely fashion. Traditional ingestion tools weren’t designed to handle hundreds or even thousands of data sources and the lack of lineage forces data consumers to manually aggregate information from sources they trust. In this session, you’ll learn how to future-proof your modern data environment to meet the needs of the business for the long term. We'll examine how to overcome common challenges, the related must-have technology solutions in the data lake/ data warehousing world, using real-world success stories and even a few architecture tips from industry experts.
You Need a Data Catalog. Do You Know Why?Precisely
Data catalog has become a more popular discussion topic within data management and data governance circles. “What is it?” and “Do I need one?” are two common questions; along with “How does a catalog relate to and support the data governance program?”
The data catalog plays a key role in the governance process; How well information can be managed, aligned to business objectives and monetized depends in great part to what you know about your data.
In this webinar you will learn about:
- The role of the data catalog
- What kinds of information should be in your data catalog
- Those catalog items that can be harvested systemically versus those that require stewardship involvement
- The role of the catalog in your data quality program
We hope you’ll join this on-demand webinar and learn how a data catalog should be part of your governance and data quality program!
Get the most out of your AWS Redshift investment while keeping cost downAgilisium Consulting
Amazon Redshift offers many powerful features. Yet, there are many instances where customers encounter sloppy performance and cost upheavals beyond control.
Scaling AWS Redshift clusters to meet the increasing compute and reporting needs, while ensuring optimal cost, performance and security standards is quite a challenge for many organizations.
This webinar covered the following,
• Understand key design/architectural considerations of AWS Redshift
• Tips & Tricks to optimize Cost & Performance
• How Agilisium helped clients reduce AWS Redshift run cost up to 40%
Presented by:
Jay Palaniappan - CTO & Head of Innovation Labs || Smitha Basavaraju - Big Data Architect || Arun Chinnadurai - Associate Director – BD
SAP Data Services is a data integration and transformation software application. It also supports changed-data capture (CDC), which is an important capability for providing input data to both data-warehousing and stream-processing systems.
It is an ETL tool which gives a single enterprises level solution for data integration, Transformation, Data quality, Data profiling and text data processing from the heterogeneous source into a target database or data warehouse.
Webcast slides for "Low Risk and High Reward in App Decomm with InfoArchive a...Tom Rieger
Platform 3 Solutions presented these slides on January 17, 2019 with Opentext to give everyone an opportunity to understand the value in removing systems from their operations
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.
WEBINAR: Salesforce Data Archive using External Platforms (AWS, Azure, Heroku...DataConnectiva
Check out the webinar slides to learn how Salesforce data can be archived to any external database leveraging various cloud/on-prem platforms with DataConnectiva. If you want to know more about the product & its capabilities, please get in touch at: sales@dataconnectiva.com
VILT - Archiving and Decommissioning with OpenText InfoArchiveVILT
OpenText InfoArchive is an application-agnostic solution, for managing information and archiving, supporting different enterprise needs of information ingestion, for all kinds of applications.
It allows for the application management cost reduction, an information governance enhancement while adding value to the business process through information re-utilization.
It provides four information ingestion methods, in order to cover the most demanding requirements on all concurrent projects, while optimizing the information source application.
With OpenText InfoArchive there is no need to go for a single approach for all archiving and decommissioning needs.
THE FUTURE OF DATA: PROVISIONING ANALYTICS-READY DATA AT SPEEDwebwinkelvakdag
Data lakes & data warehouses, whether on-premises or in the cloud promise to provide a centralized, cost-effective and scalable foundation for modern analytics. However, organisations continue to struggle to deliver accurate, current and analytics-ready data sets in a timely fashion. Traditional ingestion tools weren’t designed to handle hundreds or even thousands of data sources and the lack of lineage forces data consumers to manually aggregate information from sources they trust. In this session, you’ll learn how to future-proof your modern data environment to meet the needs of the business for the long term. We'll examine how to overcome common challenges, the related must-have technology solutions in the data lake/ data warehousing world, using real-world success stories and even a few architecture tips from industry experts.
The Shifting Landscape of Data IntegrationDATAVERSITY
Enterprises and organizations from every industry and scale are working to leverage data to achieve their strategic objectives — whether they are to be more profitable, effective, risk-tolerant, prepared, sustainable, and/or adaptable in an ever-changing world. Data has exploded in volume during the last decade as humans and machines alike produce data at an exponential pace. Also, exciting technologies have emerged around that data to improve our abilities and capabilities around what we can do with data.
Behind this data revolution, there are forces at work, causing enterprises to shift the way they leverage data and accelerate the demand for leverageable data. Organizations (and the climates in which they operate) are becoming more and more complex. They are also becoming increasingly digital and, thus, dependent on how data informs, transforms, and automates their operations and decisions. With increased digitization comes an increased need for both scale and agility at scale.
In this session, we have undertaken an ambitious goal of evaluating the current vendor landscape and assessing which platforms have made, or are in the process of making, the leap to this new generation of Data Management and integration capabilities.
Have you begun to see the value of Enterprise Data Management? If so, perhaps you’ve decided that simply buying more hardware is no longer a viable option for your IT department. Despite the ever-falling cost of hardware, each new machine you add will increase your labor, power, and cooling costs over time.
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
Data Mesh is a trending approach to building a decentralized data architecture by leveraging a domain-oriented, self-service design. However, the pure definition of Data Mesh lacks a center of excellence or central data team and doesn’t address the need for a common approach for sharing data products across teams. The semantic layer is emerging as a key component to supporting a Hub and Spoke style of organizing data teams by introducing data model sharing, collaboration, and distributed ownership controls.
This session will explain how data teams can define common models and definitions with a semantic layer to decentralize analytics product creation using a Hub and Spoke architecture.
Attend this session to learn about:
- The role of a Data Mesh in the modern cloud architecture.
- How a semantic layer can serve as the binding agent to support decentralization.
- How to drive self service with consistency and control.
Capture and Feed Telecom Network Data and More Into SAP HANA - Quicky and Aff...SAP Solution Extensions
Get details on how the SAP Big Data Integrator solution by DigitalRoute helps telecom firms integrate, analyze, and act on operational usage and customer data in real time to gain a huge competitive advantage
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
Thirty years is a long time for a technology foundation to be as active as relational databases. Are their replacements here?
In this webinar, we look at this foundational technology for modern Data Management and show how it evolved to meet the workloads of today, as well as when other platforms make sense for enterprise data.
1. www.mainline.com | 866.490.MAIN(6246)
INFRASTRUCTURE DATA ANALYSIS
Stop storing invalid data
on expensive disk subsystems
Mainline Information Systems | Storage and Data Services Practice
Are you already using SAN-based storage? Have you implemented storage and server virtualization? Do you leverage thin
provisioning and auto/easy/dynamic tiering and have a tiered storage architecture, but still need to reduce cost and improve
performance?
These are effective technologies to store the data placed on these storage solutions, but what if 30%, 50% or even 80% of that data is invalid? Duplicate, stale,
orphaned and unauthorized data make up a large portion of the records stored on the equipment. Shouldn’t stored data be valid?
Move less important data to lower storage tiers, define retention policies and save money
Even for valid data, does it belong on tier 1 storage when it will generally never be accessed again? Consider that each application has data that needs to be placed on
the proper storage tier to address a set of requirements.
We know what you are thinking. Data is not in your sphere of influence. You store it for the business, and what they place in storage is not something you can control.
This might be true, but your CTO or CIO cares about what is being stored because it is likely that a majority of their budget is being used for storage capacity. They
also know that the data contains information that is critical to sales, accounting, HR, legal and marketing. Storing the right data is critical. Storing the wrong data can
impact profitability.
The Mainline Infrastructure Data Analysis service works with your organization to identify allocated storage to be cleaned up, invalid data to be disposed of and where
valid data should be placed on your current or future storage infrastructure. For clients interested in defining storage architecture based on data requirements, this
service will also profile data by data usage and performance, allowing you to provide the right technology answer for your critical high-performance data to reside on
flash or tier 1 disk, and your inactive data to be archived to tape or to the cloud.
We will bring the tool
Most clients either don’t have a storage resource reporting tool that can see down to the file level like TPC for Data from IBM or File Level Reporter from EMC. We will
bring our cloud-based, agentless tool to you as part of the assessment. You simply need to provide a Virtual Machine. Metadata about the data characteristics (not the
actual data itself) will be gathered over a week or so, depending on the kinds of data we need to gather. We will then produce a concise presentation describing the
actionable findings.
Deliverables include...
• Total storage capacity
• Opportunities to clean up allocated and unallocated storage
• Total raw data in GBs
• Opportunities to clean up data based on duplicate, stale and orphaned data
• Detailed reports and data paths for application teams to clean up
• Servers grouped by application with data characteristics per server
• Data placement and retention policies per tier recommendations, validated
with our customers
• High-performance flash to high-capacity, low-cost archive platforms are
recommended to rightsize your important business data (valid data)
Service Features
• Provides a current snapshot of your data placement as a starting point for
the transformation process
• Identifies potential cost savings and areas that can benefit from higher-
capacity storage tiers
• Includes a cost savings roadmap that contains a return on investment plan
and payback timeline
• Gives you a clear roadmap for a transition to Mainline Storage Services or a
company-led data migration
Service Benefits
• Conservatively identify 40% and as much as 80% of the data you are storing
today as invalid
• Save more of tier 1 disk by optimizing your data storage placement
• Improve the performance, availability and security of critical data with high-
performance storage tiers
• Plan for an upcoming data placement migration with a data placement
roadmap
• Associate your data workload with the right storage tier, including flash and
cloud storage
• Decrease your environmental footprint with high-capacity, low-power
storage tiers
Part of a Generally Accepted Storage Strategy
Let us help you define your storage and backup strategy and align the business
value of your information with an appropriate and cost-effective storage
infrastructure.
2. www.mainline.com | 866.490.MAIN(6246)
Mainline’s Storage Assessment methodology
consists of ten service areas that can be
delivered as a whole to exploit the inherent
synergy, or they can be delivered as stand-
alone services, depending on where you are in
the storage transformation journey.
Infrastructure Data Analysis provides
additional value when delivered with
the following services within the
methodology...
• Enterprise Storage Assessment with a
defined storage strategy reduces up-front
data gathering and time spent defining a
target environment, and provides excellent
content in the prioritization of identified
gaps. Also see service components
synergistic with Enterprise Storage
Assessment.
• Infrastructure Application Landscaping
is for most a missing part of the storage
strategy - to work closely with application
teams to specifically address their wants
and needs.
• Infrastructure Data Analysis provides
an objective measure of the needs of
applications through the analysis of
metadata, offering a starting point for
application landscaping.
Infrastructure Data Analysis is part of Mainline’s larger storage assessment methodology
Mainline Information Systems | Storage and Data Services Practice
EXPERTISE YOU CAN TRUST
• Eighty-five storage experts skilled in storage solutions from every major vendor
• Decades of industry expertise in designing, implementing and optimizing storage
solutions for environments of all sizes
• Services covering product implementations, complex data migrations, information
lifecycle management, storage assessments, and advanced archiving and
protection strategies
• Residencies and managed storage services to improve storage operations and
reduce operating cost
Next Steps:
Contact your Account Executive, or you can reach us at
StorageServices@mainline.com.
For more information on our storage services, go to
http://mainline.com/storage-transformation.
10110100
10010001
STORAGE STRATEGY
WORKSHOP
A facilitated and managed approach to
defining infrastructure strategy.
INFRASTRUCTURE
APPLICATION
LANDSCAPING
Facilitate infrastructure and
application teams working together to
build a score card, score application
requirements and agree on the future
onboarding process.
ENTERPRISE STORAGE
ASSESSMENT
Define current and target data storage
and protection environment, identify the
gaps, and provide an actionable
roadmap of recommendations. The
core of any storage assessment.
DATA STORAGE AND
PROTECTION ARCHITECTURE
DESIGN
Define and illustrate both your current and future
environment, including both logical and physical
diagram modeling growth over 12, 24 and 36
months by data center.
STORAGE INVESTMENT ANALYSIS
Define and enable a loaded unit cost of storage
supporting showbacks/chargebacks through the
development of TCO, ROI and CBA.
SERVICE READINESS
ASSESSMENT
Use Mainline’s scoring tool to establish a service
delivery baseline and compare against your industry
average. Use to measure improvement.
SERVICE CATALOG DESIGN
Organize your infrastructure services into a catalog of
your choosing based on strategy, data requirements
and agreements with application teams by service
class, or build a starting point to update as you
learn more.
INFRASTRUCTURE DATA
ANALYSIS
Using an agentless, cloud-based
Storage Resource Management tool,
define valid and invalid data,
recommend residency and retention
policies, and classify application
data/servers into service tiers.
PROCESS ENGINEERING
Document and detail ITIL-based
process definitions within an
IT-based process reference model,
starting with storage and backup
processes and building an operational
guide delivering auditable, repeatable
one-way-to-implement infrastructure.
INFRASTRUCTURE TRANSITION
PLANNING
For any large transformation or migration
project, define a project plan to be
delivered by your team, a third party,
Mainline or some combination.