What Is Data Fabric | How Data Fabric Works | Data Fabric Explained | Intellipaat
Summary
TLDRThis Intel session introduces Data Fabric, a unified architecture that simplifies data management across various sources, enhancing digital transformation. It covers the concept, capabilities, and importance of Data Fabric, emphasizing its role in real-time data access, governance, and security. The session also explores its benefits for machine learning, customer insights, and multi-cloud environments, highlighting its potential to increase ROI and improve data-driven decision-making.
Takeaways
- 📈 Data Fabric is recognized by Gartner as one of the top 10 data and analytics technology trends for 2022.
- 🌐 A data fabric is a unified architecture that simplifies data management across various technologies and services.
- 🛠 Its primary goal is to maximize data value and accelerate digital transformation by providing real-time access to the right data with end-to-end governance.
- 🔄 Data Fabric supports end-to-end data management processes including integration, discovery, governance, curation, and orchestration.
- 🔐 Security is a critical component of data fabric, with measures like data encryption and private networking to protect against cyber threats.
- 💡 Data Fabric promotes a multi-cloud environment, allowing for flexibility and scalability in data management across different cloud platforms.
- 📊 It enhances machine learning model capabilities by streamlining data preparation and integration, leading to more efficient usage of ML models.
- 👥 Businesses can use data fabric to create a holistic customer perspective by integrating data from various customer touchpoints.
- 🚀 Data Fabric enables better utilization of existing data infrastructures without the need for complete application or data storage rewrites.
- 📊 The projected total economic impact of unified data fabric architecture includes increased ROI and faster data delivery, as shown in Forrester's 2020 study.
Q & A
What is a data fabric according to the Intel session?
-A data fabric is a single environment with a unified architecture and services or technologies that help organizations manage their data, aiming to maximize the value of data and accelerate digital transformation.
Why is data fabric identified as a top technology trend by Gartner?
-Data fabric is identified as a top technology trend because it provides a unified approach to managing and accessing data across different platforms and services, which is crucial for modern data-driven organizations.
How does a data fabric architecture facilitate data access and management?
-A data fabric architecture simplifies data access and management by housing technology and services that aid in data management, making it easier for data-centric tools and applications to interact with various services and data sources.
What are the capabilities and principles of data fabric discussed in the session?
-The capabilities and principles of data fabric include data integration, data discovery, data governance, data curation, and data orchestration, all aimed at uniting varied and distributed data assets for efficient management.
How does data fabric support real-time access to data?
-Data fabric supports real-time access to data by providing end-to-end governance and allowing organizations to access the right data at the right time, at a reasonable cost.
What are some of the end-to-end data management procedures that data fabric can combine?
-Data fabric can combine end-to-end data management procedures such as data integration, data discovery, data governance, data curation, and data orchestration to streamline data management across the organization.
Why is security a critical factor in data fabric implementations?
-Security is a critical factor in data fabric implementations because it safeguards data at all stages, protecting against cyber attacks and ensuring the confidentiality, integrity, and availability of data assets.
How does data fabric promote a multi-cloud environment?
-Data fabric promotes a multi-cloud environment by enabling organizations to manage and access data across different cloud platforms seamlessly, providing flexibility and scalability in data management.
What are some business use cases of data fabric mentioned in the session?
-Some business use cases of data fabric include improving machine learning models by providing timely data, creating a holistic customer perspective by integrating data from various customer interactions, and enhancing data-driven decision-making.
What benefits does data fabric provide in terms of performance and data investments?
-Data fabric provides benefits such as increased returns on investment, accelerated data delivery, improved customer affinity analysis, and optimized data investments by enabling high-performance data management and addressing technical constraints in multi-cloud and hybrid environments.
How does data fabric help in handling the scalability and complexity concerns of organizations?
-Data fabric helps in handling scalability and complexity concerns by allowing organizations to manage existing applications and modern microservice-based applications in various contexts without the need to rewrite applications or data storage from scratch.
Outlines
📈 Introduction to Data Fabric by Intel
The video script introduces a session on Data Fabric by Intel, emphasizing the importance of subscribing for updates. It mentions that Gartner has identified Data Fabric as one of the top 10 data and analytics technology trends for 2022. Data Fabric is described as a unified architecture that simplifies data management across various technologies and services, aiming to maximize data value and accelerate digital transformation. The session agenda includes discussions on what Data Fabric is, its capabilities, why it's needed, business use cases, security, multi-cloud environment promotion, and its benefits.
🔍 Deep Dive into Data Fabric Capabilities and Principles
This section delves into the workings and capabilities of Data Fabric. It explains that Data Fabric is an architecture housing technologies and services for data management, making it easier for data-centric tools to access data through various interfaces like ODBC, HDFS, REST APIs, etc. It also highlights the need for Data Fabric to accommodate evolving standards and be agnostic to geographical locations, data use cases, processes, and deployment platforms. The paragraph outlines the end-to-end data management procedures that Data Fabric can integrate, such as data integration, discovery, governance, curation, and orchestration. It also discusses the various data management capabilities that Data Fabric can encompass, including semantics, access to global data assets, advanced AI for data relationships, and centralized data governance and security processes.
🛡️ Security and Multi-Cloud Benefits of Data Fabric
The final paragraph discusses the importance of security in Data Fabric implementations, given the high stakes of cyber attacks. It mentions various security measures such as data encryption, use of private links on cloud platforms, and safeguarding secrets and keys. The paragraph also highlights the value proposition of Data Fabric in multi-cloud environments, emphasizing its role in managing dynamic data demands across globally distributed infrastructure. It outlines the benefits of Data Fabric in providing a real hybrid cloud experience, seamless transitions to the cloud, faster insights, high performance, and optimized data investments. The paragraph concludes with a reference to a Forrester study that projects significant business benefits from implementing Data Fabric, including increased ROI and accelerated data delivery.
Mindmap
Keywords
💡Data Fabric
💡Data Integration
💡Data Governance
💡Data Orchestration
💡Multi-Cloud Environment
💡Machine Learning (ML) Models
💡End-to-End Data Management
💡Data Curation
💡Real-Time Data Access
💡Data Security
Highlights
Data Fabric is identified as one of the top 10 data and analytics technology trends for 2022 by Gartner.
A Data Fabric is a unified architecture and services environment that helps organizations manage their data and accelerate digital transformation.
Data Fabric simplifies access to varied and distributed data assets by integrating tools and services across multiple platforms.
The architecture supports diverse data formats, including relational databases, tagged files, flat files, and graph databases.
Data Fabric allows real-time access to the right data with end-to-end governance at a reasonable cost.
Core capabilities include data integration, discovery, governance, curation, and orchestration, all unified under one architecture.
Data Fabric incorporates advanced AI systems for connecting relationships between data from various applications.
It provides centralized and standardized governance and security processes, using AI for policy application and compliance monitoring.
Data Fabric enables intelligent integration across distributed data and infrastructure environments, with future-proof, platform-agnostic design.
Security is a critical aspect, focusing on encryption during data transit and rest, along with secure cloud networking.
Data Fabric promotes a true hybrid cloud experience, allowing seamless transitions between on-premises, cloud, and multi-cloud environments.
Business use cases include improving machine learning models by reducing data preparation time and providing timely data to learning systems.
It helps create a holistic customer perspective by aggregating real-time data from sales operations and customer interactions.
Data Fabric optimizes data investments by ensuring high performance and scalability across different data storage and infrastructure solutions.
The architecture leads to a 459% increase in return on investment, along with significant improvements in data delivery and customer analysis.
Transcripts
hello everyone and welcome to this
session on what is data fabric by intel
apart
but before we begin with the session
please subscribe to our channel and hit
the bell icon for more updates from us
did you know according to gartner data
fabric is identified as one of the top
10 data and analytics technology trends
for 2022. in simplest terms a data
fabric is a single environment
consisting of a unified architecture
and services or technologies running on
that architecture
that helps organizations manage their
data the ultimate goal of data fabric is
to maximize the value of your data and
accelerate digital transformation in
this session you will learn all about
data fabric
so without further ado let's begin with
the session
let's
see what our agenda is
first we will discuss what is a data
fabric and how does it work then we will
discuss its capabilities and the
principles involved moving on we will
see why is it needed further on we will
discuss some of the business use cases
then we will discuss how security is the
most important factor
then we will see
how data fabric promotes multi-cloud
environment finally we will discuss its
benefits now let's see what is a data
fabric and how does it work a data
fabric is an architecture
that houses technology and services that
aid in data management relational
databases tagged files flat files graph
database bases and document stores can
all be used to store this information a
data fabric architecture makes it easier
for data centric tools and applications
to access data while interacting with
different services
odbc
hdfs
rest apis o6 nfs
and others are examples of these a data
fabric architecture must also be able to
accommodate an evolving standards the
architectural approach geographical
locations
data use case data process and
deployment platforms are irrelevant to a
data fabric
organizations can use data fabric to
strive toward
one of the most cherished goals
that is having real-time access to the
right data with end-to-end governance at
a reasonable cost
now let's take a look at the
capabilities and principles traditional
data management ideas like data ops
focus on the operationalization of
massive and scattered data assets
whereas the data fabric focuses on the
capabilities and
unite
varied and distributed data assets to
put it another way
most organizations use data ops
frameworks to design develop and
maintain a distributed data architecture
it aids in the interpretation of data
created and preserved in a highly
dispersed architecture the end-to-end
data management procedures are combined
when a unified data management platform
architecture such as data fabric is
introduced some of the end-to-end data
management procedures are
data integration data integration is
bringing together data from several
sources and giving people a single view
on it next we have data discovery it is
a process of gathering and analyzing
data from diverse sources in order to
identify trends and patterns in the data
next we'll talk about data governance it
is a phrase that can be applied
at both the macro and micro levels the
first is a political notion that is
related to
international relations and internet
governance while the second is a data
management concept that is related to
corporate data governance next we have
data curation the organizing and
integration of data acquired from
multiple sources is known as data
curation it entails annotating
publishing and presenting data in such a
way that the data's value is preserved
throughout time and the data is
available for reuse and preservation
lastly we'll talk about data
orchestration data orchestration it
automates data management operations
such as bringing data from many sources
together integrating it and preparing it
for analysis it can also encompass
duties such as resource provisioning and
monitoring all tasks are
managed through a unified platform
architecture that makes accessing
managing and controlling distributed
data assets easier a data fabric can
incorporate a variety of data management
capabilities in the logical domains
some of them are
semantics knowledge and insights users
can discover and retrieve relevant data
well thanks to semantic layers of
descriptions in the form of a
marketplace
access to a worldwide pool of data
assets analytical monitoring of ever
increasing data sets
advanced ai systems are being used to
connect business relationships between
data from many applications end-to-end
data management visibility allows you to
access numerous data properties and
risks next we have compliance and
governance in one place metadata
management on a local level in
accordance with global
organizational principles that apply to
all data sets automation and ai
capabilities complement data tracing and
root querying making it easier to apply
policies and check compliance as well as
discover potential system breaches
across all environments the whole data
governance and security process is
centralized and standardized as well
next we have intelligent integration
across distributed data and
infrastructure environments the design
deployment and use
are all integrated for sealer
data environments automated flow and
pipeline construction is available
schema drift correction and optimal task
distribution ingestion of new data
assets by self-service within preset
policies infrastructure that is future
proof platform and application
agnostic lastly we have orchestration
and life cycle management self-service
orchestration of diverse data sources
with advanced ai systems data lakes and
other platforms and technologies that
provide a holistic view of the data
pipeline across all data environments
data-driven applications use a unified
data life cycle to configure and manage
all parts of the data including
development operations testing and
production release
now let's see in today's digital
environment why do you need a
data fabric well data fabrics enable
enterprises to make better use of the
existing data infrastructures without
having to rewrite every application or
data storage from the ground up but why
is a data fabric important in today's
world organizations are dealing with
scalability and complexity concerns
their id systems are now advanced
just a quick info guys if you want to
make a career in cloud computing then
intellipaat provides advanced
certification in cloud and devops it is
taught by iit professors and industry
experts with more than 10 years of
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upskill and land your dream job now
let's continue with the session
allowing them to manage existing
applications as well as modern
microservice
based applications in a variety of
contexts adida fabric
aids
in the following shown tasks multiple
settings including on-premises
cloud and hybrid can be managed at the
same time to connect to any data source
you can use pre-packaged modules
strengthen your data preparation data
quality and data governance skills
improve data integration between sources
and applications now let's discuss some
of the business use cases of data fabric
first up we have improving machine
learning that is ml models our data
fabrics architecture flexibility is
beneficial in a variety of ways
let's discuss some of the instances
machine learning models increase the
learning capacities and the proper data
is provided to them in a timely manner
data pipelines can be monitored using
machine learning algorithms which can
also be used to identify appropriate
linkages and integrations getting the
data ready is one of the most time
consuming aspects of training ml models
by lowering data preparation time a data
fabric design aids in the more efficient
usage of machine learning models next
business use case we have is creating a
holistic customer perspective
businesses can use a data fabric to
collect data from client interactions
and figure out how to provide additional
value to customers
this might involve combining real-time
data from various sales operations the
time it takes to onboard a customer and
kpis related to customer happiness
now let's take a look at the next agenda
that is security a good data fabric
installation requires a very high level
of security with so many cyber attacks
resulting in millions of dollars in
losses
safeguarding your data at all stages is
critical to deploying your data fabric
design properly this can be dealt with
in a variety of ways encrypting data
while it is in its transit and at rest
using private link on azure and aws to
protect
your networking traffic from the public
internet keeping secrets and keys safe
in the cloud multi-cloud environment the
value proposition
that the data fabric gives
in id environments with dynamic data
demands distributed across globally
distributed infrastructure systems
data fabric architecture is very useful
in today's cloud-based enterprise i.t
environment the data fabric architecture
provides
the following benefits
a real hybrid cloud experience is made
available
organizations can use data fabric to
address the technical constraints of
managing a
broad portfolio of data
of data storage and infrastructure
deployments customers can choose from a
variety of hybrid id infrastructure
resources to run mission-critical
data-driven i.t services apps storage
and access based on change in technical
and business requirements then we have
seamless transitions to the cloud to
handle data stored in several places
data fabric is designed to minimize
disruptions caused by switching between
the cloud suppliers and computational
resources
as a result
data fabric drastically decreases the
time it takes to get insights
organizations can do the following with
faster insights
that is recognize patterns in data
make proactive decisions etc businesses
may outspace market competitors by
improving compute performance across all
data channels allowing them to make the
most of their data investments high
performance and data investments that
are optimized organizations devote
tremendous resources and efforts to
ensuring that their apps and services
work optimally this is specially true
for mission critical programs that may
be expected to process an increasingly
amount of data as the user base develops
or to handle unpredictable peak usage
demands
organizations must also invest in cloud
storage solutions
that offer the appropriate performance
levels in order to meet these needs
similarly the software or service could
become a legacy solution in the future
lowering the utilization need
in any case the app should be able to
give predictable results regardless of
whether the data is available at a solid
site with a lot of space
infrastructure for low cost economy
storage
organizations may take advantage of this
feature and optimize their data
investments based on changing app usage
requirements using data fabric now let's
take a look at the benefits the
following commercial value of
capabilities that make up unified data
fabric architecture
is shown
in the forester new technology projected
total economic impact 2020 study we have
459 increase in returns of investment
5.8 million dollars
business benefits on average
60 times accelerated data delivery 20
times faster customer affinity analysis
by tackling the technical constraints of
managing data services and a multi-cloud
and hybrid id environment
data fabric provides enterprises with a
variety of business value and
proposition that's it for this video
thank you
just a quick info guys if you want to
make a career in cloud computing then
intellipaat provides advanced
certification in cloud and devops it is
taught by iit professors and industry
experts with more than 10 years of
experience this course is designed to
upskill and land your dream job
you
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