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FRICTIONLESS DATA MANAGEMENT WITH LUMADA DATAOPS SUITE

LUMADA DATAOPS SUITE

Accelerate digital innovation through advanced insights based on trusted data.
Deliver AI-driven automation and collaboration, across multicloud, core, and
edge. Establish the DataOps practice.

Go to HitachiVantara.com

SPEAK TO THE TEAM

 * Call us: +17207384141
 * Contact Sales
 * Contact Partners


FRICTIONLESS DATA MANAGEMENT WITH LUMADA DATAOPS SUITE

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10 minute read


FRICTION IS A SPECIAL TYPE OF FORCE THAT RESISTS THE RELATIVE MOTION BETWEEN
THINGS.

It can be both positive and negative. Friction between our shoes and the floor
stops us from slipping, between tires and the road stops cars from skidding or
between brakes and wheels help cars slow down and stop. All of which are
positive. As for the negative, friction decreases efficiency. Friction with the
road causes tires to wear off, causes machine wear and tear, or can generate
unwanted heat.


WHEN IT COMES TO DATA, FRICTION IS AN IMPEDIMENT.

In this age of AI and ML, this data friction is no longer beneficial. In fact,
it's a detriment. It slows down the adoption of data and use of insights.
Ultimately, slowing down business outcomes.




INFRASTRUCTURE

Legacy big data infrastructure is expensive and complex and doesn't meet the
organizational needs.


INTEGRATION

Unintegrated tools across the on-premises and cloud environments, the data
quality suffers.


87% OF DATA SCIENCE PROJECTS NEVER MAKE IT INTO PRODUCTION

The reality is 87% of data science projects never make it into production and
the majority of data lakes have turned into swamps. Why is that? Because 55% of
data scientists cited quality/quantity of training data as being their biggest
challenge. The ability to ingest and interpret varied data sources plays a key
role in AI and ML data management efforts. In other words, in the age of AI,
data must be frictionless.


WHEN IT COMES TO DATA, FRICTION IS AN IMPEDIMENT.

In this age of AI and ML, this data friction is no longer beneficial. In fact,
it's a detriment. It slows down the adoption of data and use of insights.
Ultimately, slowing down business outcomes.


GOVERNANCE

With data sprawled across silos, cross-functional collaboration becomes
ineffective.


ANALYTICS

Analysts and data science teams not having the right access to timely, accurate,
high quality data to use for business needs, train ML models etc.


87% OF DATA SCIENCE PROJECTS NEVER MAKE IT INTO PRODUCTION

The reality is 87% of data science projects never make it into production and
the majority of data lakes have turned into swamps. Why is that? Because 55% of
data scientists cited quality/quantity of training data as being their biggest
challenge. The ability to ingest and interpret varied data sources plays a key
role in AI and ML data management efforts. In other words, in the age of AI,
data must be frictionless.


DATAOPS TO THE RESCUE

Thinking about how to eliminate data friction in your environment? Stop looking
for point solutions and think of a more comprehensive approach that involves
people, process and tools and technology to address this problem. Customers like
yourselves are all looking for agility and automation for quicker time to data
to eliminating friction. That’s DataOps.

Find out more

There’s no doubt that the buzzword DevOps is a conflation of the terms
“Development” and “Operations” and it is all over the IT landscape. It provides
the inspiration for a similar and parallel term for data. DataOps is like DevOps
in that it combines two things data management and IT and business operations
with the DevOps idea of CI/CD included for good measure. In DataOps, the idea is
to deliver, in the words of 451 Research (a data-oriented research firm and
consultancy) “more agile and automated approaches to data management.” Hitachi
defines DataOps as collaborative and automation with an outcome focused data
culture and processes to address data friction. DataOps unlocks the following
business benefits:

 * Accelerate insights with data for business innovation.
 * Increase the consumption of data through trust and quality.
 * Keep your data management cost and risk down with growth.


DATAOPS FOR INFRASTRUCTURE

Bring agility to your data fabric using intelligent, policy driven, automated
placement of data that scales from edge-to-core-cloud to accelerate performance,
optimize for cost and scale from edge to cloud.

 * SCALE
   
   Edge to Cloud

 * ACCELERATE
   
   Workload performance

 * OPTIMIZE
   
   Storage Cost




DATAOPS FOR ENGINEERING

Reduce cost and complexity of data management through metadata driven automation
of pipelines, onboarding data from 100s of IT and OT sources, clean, enrich,
prepare and transform data and orchestrate execution of these pipelines.

 * ONBOARD
   
   Connect and aggregate

 * PREPARE
   
   Clean, Enrich, Join, Blend, Structure

 * ORCHESTRATE
   
   Data pipelines & ML




DATAOPS FOR GOVERNANCE

Reduce time to high quality data and risk of failing compliance audits through
end-to-end data governance that enables data stewards to automatically discover
data across various silos, semantically curate and enrich with business meaning,
and protect all sensitive information.

 * DISCOVER
   
   Structure & unstructured data

 * CURATE
   
   Data classify and tag

 * PROTECT
   
   Sensitive Data




DATAOPS FOR ANALYTICS

Accelerate data-driven business outcomes through self-service data access for
line-of-business analysts and data scientists, pre-built AI/ML models and
visualizations and analytics embedded right in the business applications.
Deliver direct top-line and bottom-line business growth by providing the right
data at the right time via secured data marketplaces and data hubs.

 * SELF-SERVE
   
   Expand data access

 * ANALYZE
   
   AI & ML Models

 * VISUALIZE & EMBED
   
   In apps and processes




WHAT IS LUMADA DATAOPS SUITE?

Accelerate data-driven innovation by intelligently operationalizing data
management with Lumada DataOps Suite to democratize access to trusted data at
low cost from edge to multicloud.

Find out more


MODERNIZE. AUTOMATE. INNOVATE.

Modernize your data environment with intelligent dataflows. Automate with
metadata-driven data governance. Innovate with collaboration and self-service
based on trusted data. Reduce cost through intelligent data placement. Lumada
DataOps Suite enables a modern data practice for the era of AI with patented AI
technology, and a modular, cloud-native architecture. Manage and govern data
across public and private clouds, data center and edge devices.



Data Optimizer


LUMADA DATA OPTIMIZER FOR HADOOP


REDUCE COSTS AND OPTIMIZE RESOURCE UTILISATION

Reduce Hadoop infrastructure costs with an intelligent data tiering solution
using object storage while continuing seamless application access.Find out more

IoT Edge


LUMADA EDGE INTELLIGENCE


IIOT DATA INTEGRATION AND ANALYTICS

Power actionable, real-time insights at critical operating locations and enable
enterprise-class operations data management from edge-to-multicloud.Find out
more

Data Integration


PENTAHO


ORCHESTRATE MULTICLOUD DATA FLOWS

Rapidly build and deploy data pipelines at scale to integrate all data and
orchestrate dataflows with Lumada Data Integration built with Pentaho
technology.Find out more

Data Catalog


LUMADA DATA CATALOG


DISCOVER AND CATALOG ALL YOUR DATA

Speed up data discovery and metadata tagging, secure sensitive data and infer
hidden relationships to gain new insights, systematize compliance and eliminate
redundancy.Find out more



GET TARGETED SOLUTIONS FOR YOUR DATA NEEDS WITH LUMADA

Manage your multicloud data fabric, drive governance and data protection, and
implement a modern analytics and data science infrastructure. Deploy the entire
suite for intelligent DataOps and start innovating with data. Or, select only
the components you need to address your immediate needs.

INTEGRATE CLOUDS AND SYNCHRONIZE APPS

Ingest, cleanse, transform and deliver data. Easily connect any system, from
cloud to mainframe. Stream, batch or trickle feed data. And, with the optional
Hitachi Content Intelligence component, even process unstructured content, such
as business documents.



MASTER THE IOT EDGE WITH REAL-TIME ANALYTICS

Integrate your IoT sensor time-series feeds, audio and video streams. Connect to
hundreds of proprietary control systems. Filter and preprocess data at site
level, for performance and cost. Deploy containerized edge analytics and ML
solutions for real-time insights.



GOVERN YOUR CLOUD DATA LAKES AND DATA WAREHOUSES

Onboard data for your cloud data systems rapidly, while validating for quality
and compliance. Cost-optimize your Hadoop clusters with smart data tiering, your
SQL databases with no-SQL migrations, and your cloud data warehouses by routing
only the right data to the right places.



PROTECT SENSITIVE DATA AND DELIVER COMPLIANCE

Automatically discover sensitive data across your data infrastructure, such as
personally identifiable information (PII) to comply with mandates like GDPR and
CCPA. Deploy intelligent data flows that filter or anonymize data to improve
visibility while delivering compliance.



MANAGE ML DATA FLOWS AND EMBED ANALYTICS

Simplify data science tasks related to ML by automating the tasks for data
onboarding and model training with data pipelines. Intelligently automate your
data flows with ML models. And, deploy production-ready analytics, reports and
dashboards to production.



GAIN 360-VIEWS OF CUSTOMERS, PRODUCTS AND ASSETS

Build cloud data hubs to access and share validated records and documents, and
to enrich business processes with trusted information. Move data discovery and
preparation to the front line of the business, with collaborative data
self-service.





LUMADA’S APPROACH TO DATAOPS: MODULAR, AUTOMATED AND COLLABORATIVE

Lumada provides a metadata-driven path toward intelligent data operations
(DataOps) at enterprise scale, using intelligent automation, data team
collaboration and flexible run times. Working with your existing data
infrastructure, Lumada removes frequent bottlenecks in the DataOps life cycle to
drive simplicity and governance, and to enable data-driven outcomes.

PACKAGED DATA PRODUCTS, FAST TO DEPLOY

Unlike proprietary do-it-yourself (DIY) approaches tying up developer talent and
creating hard-to-maintain silos, Lumada software products are packaged,
prevalidated and ready to deploy. Low- and no-code environments engage business
users and data managers, alike.

Deploy solutions in days or weeks, rather than months. Realize faster returns on
your investments. Build a sustainable data infrastructure that scales with your
needs.

AUTOMATED, INTELLIGENT AND COLLABORATIVE

The combination of rule-based systems, machine learning (ML) and processing
engines automates formerly manual tasks, such as metadata tagging or artificial
intelligence (AI) model testing. And, collaboration features drive cross-team
engagement and trust in data.

Make the power of AI and social-media type collaboration work for you.
Intelligent engines and collaboration-friendly user experiences drive
productivity and foster trust and user engagement.

ENTERPRISE SCALE AND SECURITY

Metadata-driven templates, load-adaptive execution logic, and multicluster
deployment options let you manage data at scale. Versioning simplifies change
management, and data flow monitoring drives operational rigor. Integrate with
your access control and security products.

From startup to Fortune 500 enterprise, Lumada products are deployed and trusted
by thousands of customers worldwide, including for some of the most demanding
production data operations.

OPEN ARCHITECTURE: BETTER TOGETHER

Lumada offers data products that integrate with your systems through open APIs
and hundreds of prebuilt integration adapters. It provides multiple runtime
engines, including open source Spark and Kettle. Lumada isn’t a monolithic
platform: It works with your systems, to build your data fabric.

Manage an intelligent edge-to-cloud data fabric that incorporates your systems,
clouds and applications, and your users’ favorite analytics, data science and
business intelligence (BI) tools.

DEPLOY IN THE CLOUD, ON PREMISES OR AT THE EDGE

Lumada data products commonly are deployed in the public cloud (such as Amazon
Web Services, Microsoft Azure or Google Cloud Platform), the private cloud or
data center, and even the IoT edge. Hitachi Vantara even provides prequalified
storage and hyperconverged infrastructure systems.

Run Lumada data products wherever you want, including hybrid cloud. Lumada
supports flexible deployment options, including any cloud, data center, branch
office or IoT edge.

TRUSTED PARTNER FOR INNOVATION

Hitachi Vantara is your trusted partner for data-driven innovation, and digital
transformation. We assist you through every step of your journey, from business
strategy to data strategy and solutions implementation. And, Hitachi Vantara
partners with other leaders and innovators in the industry to deliver on your
specific needs.

Partner with Hitachi Vantara or one of our many partners to accelerate and
safeguard your journey for digital transformation.


HITACHI UNDERSTANDS INTELLIGENT AUTOMATION

At Hitachi, we understand intelligent automation. Hitachi has automated supply
chains and production processes, transportation systems and healthcare
solutions. And now, with Lumada DataOps Suite, Hitachi also automates
intelligent data operations (DataOps) to drive faster insights and process
automation through data.


IT SOURCES

 * Databases

 * Logs/E-mail

 * Social media

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OT SOURCES

 * LIDAR

 * PLCs

 * Video


LUMADA DATAOPS SUITE

 1. Data integration
 2. Enterprise analytics
 3. IOT edge
 4. Data catalog
 5. Data optimizer


SOLUTIONS

 * Customer intelligence
 * Operational intelligence
 * Product intelligence
 * Compliance and fraud mgmt.
 * IIOT asset intelligence


WANT TO FIND OUT MORE ABOUT LUMADA DATAOPS SUITE?

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ACCELERATE DIGITAL INNOVATION THROUGH ADVANCED INSIGHTS BASED ON TRUSTED DATA.

Go to HitachiVantara.com


REFERENCES AND NOTES

 * 87% of data science projects never make it into production

   Source found at:
   https://venturebeat.com/2019/07/19/why-do-87-of-data-science-projects-never-make-it-into-production/

 * 55% of data scientists cited quality/quantity of training data as being their
   biggest challenge

   Source found at:
   https://visit.figure-eight.com/rs/416-ZBE-142/images/Data-Scientist-Report.pdf

 * GDPR = EU’s General Data Protection Regulation

   

 * CCPA = California Consumer Privacy Act

   

Hitachi Vantara

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