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     * Universal Cloud Compatibility
     * Attribute-Based Access Control
     * Discovery & Classification
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     * Databricks
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     unlock their most valuable data.
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HOW J.B. HUNT IS DRIVING FREIGHT TRANSPORTATION INTO THE FUTURE



Key Takeaways

 * Increased permitted use cases for cloud analytics by 300% with Immuta while
   also achieving cost savings and productivity gains
 * Provided 200+ active users with access to 100+ databases using global PII
   policies across 250 tables and local PII policies across 50 tables

Architecture

Immuta, Databricks Lakehouse Platform, Google BigQuery, Google Cloud Platform

INDUSTRY

Transportation


ABOUT J.B. HUNT

J.B. Hunt Transport Services, Inc. is an American transportation and logistics
company based in Lowell, Arkansas. It was founded by Johnnie Bryan Hunt and
Johnelle Hunt over 60 years ago and has grown to be a Fortune 500 company that
is one of the largest trucking firms in the U.S. It is their mission to build
North America’s most efficient transportation network and they are working on
streamlining freight logistics and providing the best carrier experience
possible.


THE CHALLENGE

In order to fulfill their goal of becoming the most efficient freight
transportation network in North America, J.B. Hunt focuses primarily on
connecting carriers with their ideal shipper, taking into consideration details
such as price, weight and location.

“What we’re doing from a data science point of view is building pricing models
and load recommendation models to improve operations,” explained Doug
Mettenburg, Vice President of Engineering and Technology at J.B. Hunt. “But in
my 20 years here, data refreshes have only been, at best, every night, and
that’s the case across our industry. The problem is, trucks move. Having to wait
overnight for data made a lot of what we wanted to provide around tracking and
modeling impossible.”

Simply put, legacy architecture, a lack of AI capabilities, and the inability to
securely handle big data caused significant roadblocks.

Prior to Databricks and Immuta, J.B. Hunt had their data locked in legacy
enterprise data warehouse (EDW) platforms. Their systems struggled to process
and store the massive data generated by hundreds of thousands of equipment
pieces. They also lacked the necessary levels of data security and the ability
to support data streams generated by IoT sensors on their trucks and carriages.
J.B. Hunt knew it was time for a change.

> Databricks opens up many opportunities for self-service data analytics, data
> science, and enterprise reporting. Paired with Immuta, we can make all our
> data available to all types of business analysts, data scientists and data
> engineers.

AJAY SAHU
DIRECTOR OF ENTERPRISE DATA MANAGEMENT, J.B. HUNT


SOLUTION

J.B. Hunt’s goal was to modernize their data infrastructure by building an open,
scalable and unified cloud data architecture. To achieve their goal, J.B. Hunt
moved to the Databricks Lakehouse Platform for its ability to unify data
engineering and data science functions on one open and scalable platform. “As we
look toward expanding our ML and real-time analytics capabilities, it was
critical that we built upon a platform that provides the flexibility to quickly
deploy use cases regardless of which cloud or tool sets are being leveraged
across our diverse operations — and that’s what Databricks provided us.”

With Databricks Delta Lake, J.B. Hunt not only has the ability to put all their
data in one place for easy access across the organization — they can also ensure
the performance and reliability of streaming data pipelines at any scale. The
support for Delta Lake as the open storage layer brought efficiency and
portability to J.B. Hunt’s teams as they moved terabytes of their existing data
onto the platform. By streaming in real time to Delta Lake — with web, mobile,
location, IoT and other application data — J.B. Hunt can analyze larger, more
complete data sets to run analytics and ML faster than ever. With MLflow, the
data science team is now able to establish reproducibility of code and
experiments to ensure they’re reusable by multiple data scientists.

Additionally, J.B. Hunt integrated Immuta with Databricks to provide cloud data
access control. Immuta gives J.B. Hunt a level of data security that wasn’t
possible with their legacy EDW.

J.B. Hunt had over 200 users that needed access to sensitive data and they
required full auditing, anonymization, and time based access controls. They had
tried using manual tools to protect sensitive data but the complexity and
staffing requirements to mask and unmask data was too cumbersome and delayed
access to the data, resulting in increased costs and limiting analytics. Also,
they couldn’t risk delays in complying with privacy laws such as the California
Consumer Privacy Act (CCPA) that would increase the potential for regulatory
fines.

“Before Immuta, we could not make our data widely available to the users due to
security concerns,” explained Tina Headrick, Senior Manager of Data Governance
and Privacy at J.B. Hunt. “Immuta has allowed us to open up the data to a wide
variety of users.”

“Databricks paired with Immuta opens up many opportunities for self-service data
analytics, data science, and enterprise reporting,” explained Ajay Sahu, the
Director of Enterprise Data Management at J.B. Hunt. “With this modern data
stack, we can make all our data available to all types of business analysts,
data scientists and data engineers.”

Although large-scale cloud migration projects are often incredibly complex,
implementing Immuta on Databricks was straightforward and led to massive cost
savings. J.B. Hunt’s operations couldn’t slow down and the solution required
flexibility to rapidly create and update data access rules.


RESULTS

With Databricks and Immuta, J.B. Hunt now has a single, secure, governed source
of truth that delivers operational efficiency. Across the company, they’ve
increased permitted use cases for cloud analytics by 300% by using Immuta.

In terms of collaboration, the team has succeeded in bringing the various data
teams together to accelerate data science productivity. The company’s HR team
can run ML models to predict resourcing for their fleets and marketing can
quickly perform analytics on Marketo data.

“Immuta has allowed us to automate data access control & privacy protection. As
we expand our data estate to Google’s BigQuery platform, we will be able to
implement consistent data access policies on both Databricks and Big Query,”
added Tina.

J.B. Hunt has seen a steady rise in the number of Immuta users who are attracted
to the platform’s ease of use and ready availability of secure data that was
previously out of reach for them.

“We now have a single, secure source of truth to run our business on,” added
Ajay. “Databricks and BigQuery allow us to show the true value of our data to
the company and Immuta allows us to do it securely and in full compliance. To
top it off, we’re saving huge amounts of time and money in the process.”

J.B. Hunt has experienced a significant growth in their business operations, and
the demand for securely managing data continues to increase.


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