Data Driven: IoT Smart Cities + Informatica's Mélange Beguiles Google, AWS, Microsoft (and others)
So what's the holy grail here? Data management across multi-cloud and hybrid environments at a very high level. In other words, enterprise integration. Hybrid cloud is becoming the norm for most midsize and large organizations. This will put additional strain in terms of management, monitoring and governance.
In this episode of "Data Driven", we hear how developing regions are upgrading legacy IT to become IoT-ready, and Informatica flashes out a stack of compelling announcements related to related to its partnerships with Google, AWS, Microsoft, Databricks and others.
In our lead story, Informatica has been nothing short of grandiloquent at its Informatica World conference this week. But before we get into all their news, let's take a minute to look at the market for internet of things or IoT (as it is commonly called) in smart cities. This market is expected to grow significantly over the next several years to represent a $220 billion opportunity by 2023.
Check out a brand-new episode of "Data Driven" on YouTube (https://youtu.be/
Smart city projects have evolved through various phases over the last several years, from being a vendor driven technology-centric vision of smart cities to citizen-centric models. Companies, nowadays, are concentrating more on providing solutions to refine the citizen interaction with government.
"Governments across regions are focusing on the development and integration of more citizen-centric interactive open platforms for better communication with citizens" says Research and Markets dot com. "To ensure better coordination and control, governments are focusing extensively on the deployment of IoT solutions and services.'
This means that even in the developing regions, there is a huge focus on upgrading the legacy Information Technology infrastructure to be IoT-ready.
To be "data driven" you have to be able to deliver rich, on-demand business insights through big data. These advanced analytics capabilities enable you to scale and deliver superior experiences to your customers.
Almost on cue, Informatica again grabbed headlines with its strategic partnership with Google Cloud. The goal is "broader and deeper" connectivity across its platform, enabling enterprises to accelerate their data-driven digital transformation initiatives on the Google Cloud Platform.
"The industry transformation we're seeing today is around customers deriving more insights from their data to inform business decisions" said Thomas Kurian, CEO, Google Cloud.
Meanwhile, the company is also collaborating with Amazon Web Services and Cognizant to offer joint data assessment packages that will help customers accelerate their migrations to AWS.
Using Informatica's intelligent Enterprise Data Catalog, enterprises will be able to discover and understand more about the data they want to migrate with one simple solution, for free. Customers also have the ability to purchase a full migration assessment with a deeper long-term migration plan, which includes consulting services from Cognizant.
Like we said, Informatica is on a roll. The company is also backing the Microsoft Common Data Model, which enables organizations to bridge data silos across applications, modernize data analytics at scale, and accelerate the transformation of raw data into trusted business intelligence.
This could help companies become more data-centric. "By supporting Microsoft's CDM" said Ronen Schwartz, SVP at Informatica. "(We can help) customers accelerate cloud modernization on Microsoft Azure."
Microsoft's CDM aims to simplify data management and application development by unifying data into a known form and applying structural and semantic consistency across multiple applications and deployments.
Informatica's support of the CDM allows its customers to leverage artificial intelligence to optimize data quality, harmonize data semantics, and manage data at scale, across multiple enterprise applications.
In other news, Databricks and Informatica are partnering to accelerate the development of intelligent data pipelines. As a result of the partnership, the companies introduced product integrations that provide rapid and efficient data ingestion, simplified creation of high-volume data pipelines, and integrated data governance for intelligent data discovery and end-to-end lineage.
The partnership was announced by CEOs Ali Ghodsi and Anil Chakravarthy at Informatica World. Customers can now get reliability and performance at scale to make data ready for analytics and machine learning.
"This seamless integration between Databricks and Informatica enables data engineers to easily discover the right datasets and ingest high volumes of data from multiple sources into Delta Lakes," said Ghodsi, co-founder and CEO, Databricks.
Bringing the Informatica capabilities for discovery, lineage, ingestion and preparation together with Databricks' Unified Analytics Platform provides an analytics solution for intelligent data pipelines that leverages the correct datasets and provides end-to-end data lineage for analytics and machine learning implementations.
"Trusted, high-quality data and efficient use of data users' time are critical success factors for analytics and data science projects," said Chakravarthy, CEO, Informatica. "Data engineers (can now) rapidly build serverless pipelines to ingest and govern data from a variety of sources at scale, and prepare the data for their analytics and data science projects in a self-service fashion."
"Data Driven" is produced by TVP, and sponsored by RestonLogic, cloud wizards leveraging over 10 years experience helping companies automate, transform and build highly-secure and stable systems. RestonLogic offers a complete suite of IT solutions from strategic advisory to managed services. Book a strategy session today!
Disclaimer: The blurbs highlighted on "Data Driven" are available for information purposes only, and don't necessarily reflect opinions of our editors.
Page Updated Last on: Jun 30, 2019