Main page > Case studies > Data Services > Adanto Powers Big Data Democratization for Robert Half

Robert Half
www.roberthalf.com
Adanto Powers Big Data Democratization for Robert Half
Adanto delivers a cloud-based Big Data Lake solution for a Silicon Valley consulting leader, eliminating data silos, reducing costs, and enabling seamless access to raw data. The solution fosters a data-driven culture and empowers users with scalable, flexible analytics.


Adanto software team with Piotr really rocked.
Scott Francis
Sr. Director Applications
Robert Half



Glad that Adanto could get us started with IAM Automation Tool and Security metrics for our CISO and my Information Security Services Organization.
Jason Zirkelbach
Sr. Director - Enterprise Information Security
Robert Half



Adanto has performed the project on time and to our complete satisfaction. We have achieved our goal of improved visibility in our global call centers and could fix issues much quicker for our internal clients
Eddie Borrero
Chief Information Security Officer
Robert Half



Adanto has helped Robert Half and Protivity accelerate our services deliverry and lower our development costs.
James Johnson
VP of IT
Robert Half



Adanto SOC consultation and proposal was very compelling and on par with the GE proposal. Your security engineers are very caapable.
Mark Hopkins
Security Operations (SOC) Lead
Robert Half



I want to thank the entire Adanto team for all your efforts and help with ITMCC and Robert Half. I want to thank the team for your efforts on the project, providing the resources so quickly and being so flexible and nimble during the development cycle. Adanto is our go to partner for our new initiatives in our Marketing vertical
Frank Ficken
IT Portfolio Manager
Robert Half



Majic (Maciek) and the rest of Adanto team were great to work with. Thank you.
Jeff Keihl
Functional Architect, IT Development, Financial Services Applications
Robert Half



Adanto and especially Magic were instrumental in getting our iTrack Reporting Workstream Project on track and successful, beyond expectations. Thank you. The whole team was wonderfule to work with in on site in San Ramon, CA and off-site from Poland
Thuy Nguyen
Sr. Manager, IT Development
Robert Half



Adanto has helped us in our first phase of creating DataLake and gathering data in centralised location
Sean Perry
CIO
Robert Half



Thank you Adanto Team for the foundational architecture decisions and deliveries to get us going with Web Alerts!
Jim Falls
Sr. Director, IT - Marketing/Corporate Communication Services
Robert Half



Adanto has helped us be more productive and monitor costs of an AWS cloud
James Wetzig
Sr. Manager, Architecture & Infrastructure Platform Delivery
Robert Half



Adanto was pivotal in getting our iTrack Reporting Workstream Project on track and successful. Sheila Santana, VP, IT
Sheila Santana
VP, IT Field Services
Robert Half



Adanto has helped us be more productive and monitor costs of an AWS cloud
Dan Powers
Director, IT Shared Services
Robert Half

Key Results
$2.6M
Annual Cost Savings from IT infrastructure optimization and automation & efficiency
$1M+
Annual productivity gains from time & effort savings and faster decision-making
$500k+
Business Enablement gains from improved SLA compliance & new insights, innovation & agility
Services performed
- Data Science
- Data Analytics & Business Intelligence
- Data Warehousing
- Big Data
- Machine Learning
- Artificial Intelligence
- DevOps
- Security
- Infrastructure Services
- Salesforce
- Amazon Cloud
- Azure Cloud
Technologies used
Data Sources/Silos
- 60+ data sources
- 200+ GB of new data per day
- One Data Store (Data in different AWS data stores based on data type)
- Amazon S3
- Amazon EC2
- Amazon Redshift (data warehouse for standard SQL queries & BI tools)
- Amazon RDS (relational database for many instance types)
- Apache Sqoop (O/S tool for bulk data transfers)
- Amazon HDFS (Parquet) (Hadoop Cluster with EMR – Elastic MapReduce)
Query Tools & Analytics
- Apache Hive, Pig, Spark (O/S database query interface tools to HDFS & processing engine)
- R (O/S statistical programming language for data mining and statistical computing)
- Mahout/scikit-learn (O/S tools for building Machine Learning apps)
- QlikView, PowerBI, SAS (data analytics, business intelligence and reporting tools)
Challenge
Robert Half was challenged with lack of easy access to company’s enterprise data. The company faced multiple challenges for which it was seeking a solution:
- Limited agility and accessibility for data analysis.
- Data silos preventing effective information sharing.
- High costs due to server and license proliferation and IT complexity (shadow IT)
- Expensive scalability and lack of flexibility for new systems.
Key goals

Create a centralized repository for raw data accessible across departments

Implement incremental load processes and data governance procedures

Develop thematic, departmental, and business line-focused data marts

Build analytic applications tailored to specific business needs
Solution
Big Data Lakes are enterprise-wide data management platforms that store disparate data sources in their native format until queried for analysis. Unlike purpose-built data stores, data lakes consolidate raw data in its original form, eliminating information silos and enabling better data sharing. This approach reduces server and licensing costs, provides scalable and flexible storage, and ensures data accessibility for both programmers and business users
Adanto implemented a scalable and cost-effective cloud-based data lake infrastructure:
- Stored data in Amazon S3 Buckets for cost efficiency.
- Utilized parquet file format with HDFS/Hive for structured querying.
- Established a Hadoop/Spark cluster in AWS with autoscaling capabilities.
- Set up incremental data load processes using Apache Sqoop on an EMR cluster for daily data ingestion.