Data Engineering - PowerPoint PPT Presentation

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Data Engineering

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Today, all organizations are on an “information superhighway.” The sheer volumes of information exploited by technology have given rise to bundles of complexities. These increasing complexities have significant ramifications on how businesses manage and maintain data integrity as they become a Data-Driven Enterprise. As more companies rely on Data Science to increase their business decisions’ velocity and veracity, clean, available, and reliable data becomes crucial. – PowerPoint PPT presentation

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Updated: 12 August 2021
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Title: Data Engineering


1
  • Data Engineering User Guide

2
Table of Content
  •  What is Data Engineering
  •   Data Engineering Platform Technology Services
    of Mastech InfotTrellis
  • Data Engineering Services of Mastech InfoTrellis
  • Advisory Services
  • Enterprise Data Bus
  • Data Engineering CoE

3
What is Data Engineering?
Data Engineering is the aspect of data science
that focuses on practical applications of data
collection and analysis. For all the work that
data scientists do to answer questions is by
using huge sets of information. There have to be
mechanisms for collecting and validating that
information. Today, all organizations are on an
information superhighway. The sheer volumes of
information exploited by technology have given
rise to bundles of complexities. These increasing
complexities have significant ramifications on
how businesses manage and maintain data integrity
as they become a Data-Driven enterprise.
Mastech InfoTrellis Data Engineering Services
helps clients get answers from their Big data by
deriving value within an agile and trusted data
fabric. Mastech InfoTrellis works with businesses
to design and implement architectures that make
the entire corpus of enterprise data accessible.
4
Data Engineering Platform Technology Services of
Mastech InfoTrellis
Enterprise Data Integration
Entity Resolution
Establishes a one stop shop for ingesting
existing data while providing the capability to
integrate new data sources for scale. Ingestion
frameworks should be flexible enough to account
for structured and unstructured data while
consistently staging new raw processed data
into one location.
Mastech InfoTrellis technology and machine
learning solution create a Record Linkage process
across the Enterprise by consistently identifying
existing and new entities through the data
connectivity process. Clients become vigilant in
tracking customers while continually adding new
relationships and behavior to client models.
Enterprise Intelligence Hub (EIH)
Enterprise Data Bus (EDB)
A Mastech InfoTrellis platform technology that
brings together a modular architecture, across
all the major ecosystem components, to allow a
client to become a Data Driven enterprise. The
EIH enables a 360-degree view of all crucial data
within the Enterprise, including structured,
unstructured, third party, and social media data.
Within the EIH, the Mastech InfoTrellis
Enterprise Data Bus (EDB) provides an enterprise
data connectivity and data management foundation.
The EDB is implemented in a modular fashion with
open source and proprietary tools, orchestrated
to gather data from all sources and store it in a
high-volume and high-capacity file system,
creating realizable, clean data for multiple
business purposes.
5
Data Engineering Services of Mastech InfoTrellis
Part I
Advisory Services
Data Architecture Assessment -   Data
Architecture Assessment helps enterprises with
analytics readiness, as well as data availability
and journey assessment. Move to Cloud Services-
The service focuses on data migration,
application fit, and security posture. RedHat
OpenShift Readiness- The assessment will review
the clients application and container plan to
build a strategy leading to a comprehensive
roadmap with timeline and scope. Enterprise
Intelligence Hub (EIH) assessment- The EIH
assessment will include data connectivity needs
to be met by the Enterprise Data Bus (EDB)
components.
6
Data Engineering Services of Mastech InfoTrellis
Part II
Enterprise Data Bus
Over decades as architects and Data Management
practitioners, Mastech InfoTrellis has seen many
Big Data and Digital Transformation initiatives
derail due to the inadequate availability,
reliability, and infrastructure performance
issues that are inherent in large dataset
management. The truth is that, unless
specifically designed to do so, most combinations
of software tooling and infrastructure existing
in todays enterprise will prove unequal to the
task of managing or processing data at digital
speed. That is why Mastech InfoTrellis designed
the Enterprise Data Bus (EDB), a critical
component of the Enterprise Intelligence Hub
(EIH). The EDB implements open source and other
tools, orchestrated to gather any relevant data
from all sources and store it on a high-volume,
high-capacity file system.
7
Data Engineering Services of Mastech InfoTrellis
Part III
Data Engineering Center of Excellence
Solution Support - Data Engineering Solution
Support helps in managing solution infrastructure
and security in various on-premises and hybrid
Cloud environments. The Service also helps in
setup and configuration for success, along with a
comprehensive service offering to meet business
value demands. Some of the key highlights include
support for IBM, AWS, Azure, and other public and
private cloud providers. Data Engineering DevOps
support Data Engineering DevOps Support service
provides 247 monitoring, administration, and
maintenance along with provision, setup, and
configuration. Some of the key highlights include
network setup, firewall management, and set up of
remote access.
8
Email experience_at_mastechinfortrellis.com
https//mastechinfotrellis.com/
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