Big Data Institute

What Big Data Institute does

Big Data Institute is a privately held, founder-led professional services firm that helps organizations build and operate successful Big Data and data engineering teams. The firm, headquartered with primary contact in Reno, Nevada and managed by Jesse Anderson, delivers three core consulting offerings — a six-step Mentoring program, vendor-neutral Architecture Reviews, and Project Acceleration — supplemented by an instructor-led training catalog covering Apache Kafka, Hadoop, Spark, and Beam, plus management workshops for executives. Documented enterprise engagements include USAA (training over 100 people on Kafka and data streaming), Airbus (real-time processing of 2+ billion aircraft events per day on Azure Event Hubs, Kafka, Flink, and Spark), Kueski (12x faster reporting with 50% lower compute cost), and Steelcase ($300,000 annual infrastructure savings and 10x more business converted by consultants).

Revenue is generated entirely from professional services: custom consulting engagements, multi-year mentoring contracts (not publicly priced), training courses (1–4 days in length), architecture reviews, and custom-built classes. The firm is a Google Cloud Platform Authorized Trainer and lists Confluent and Cloudera as technology partners, and markets primarily through content (a free ebook, podcast, and conference speaking) plus direct enterprise sales via website contact and phone outreach. The company is operating but small, with no disclosed headcount, no institutional funding, and a service delivery model that is heavily dependent on the founder.

Name

Big Data Institute

Legal name

Big Data Institute

Website

https://bigdatainstitute.io

Company type

Private

Founded year

2008

Operating status

Operating

Headcount range

1–10 employees

Short description

Big Data Institute is a privately held consulting and training firm that helps enterprises and startups build data engineering teams and execute Big Data projects on Apache Kafka, Hadoop, Spark, and Beam, founded and led by Managing Director Jesse Anderson.

Ownership category

akta.pro rank

Product category

Big Data Consulting and Training

NAICS

Computer Systems Design and Related Services (54151), Management Consulting Services (54161), Other Management Consulting Services (541618)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371), Services-Management Consulting Services (8742)

akta.pro primary industry

Advanced Analytics & Data Science Services (BPAEAHAE)

akta.pro secondary industry

Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)

Keywords

• Big data consulting
• Data engineering training
• Apache kafka mentoring
• Data architecture review
• Big data project acceleration

Headquarters

HQ city

Reno

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Marketing or Sales, Technology or R&D

Revenue model

1. Consulting and Mentoring Services: Core revenue stream from structured mentoring programs that help companies build data engineering teams and execute Big Data projects. Engagements include team assessment, training, architecture reviews, and ongoing support.
2. Training Courses: Revenue from instructor-led and online technical training courses covering Apache Kafka, Spark, Hadoop, Beam, and related technologies. Courses range from 1-4 days in duration.
3. Architecture Reviews: Vendor-neutral architecture review services evaluating client use cases and recommending appropriate technologies for Big Data solutions.
4. Custom Class Creator: Custom training course development allowing clients to tailor curriculum to their specific team needs.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Core offering

Big Data Institute provides Big Data consulting, mentoring, and training services to organizations building data engineering teams and projects. Its three core service lines are Mentoring (a six-step program to build successful Big Data teams), Architecture Reviews (vendor-neutral technology evaluation), and Project Acceleration (consulting to speed up Big Data initiatives). The firm complements these services with a catalog of technical training courses and management workshops covering Apache Kafka, Spark, Hadoop, Beam, and real-time cloud data architectures.

Product overview

Big Data Institute offers a comprehensive portfolio of professional services and training products centered on helping organizations build successful Big Data and data engineering teams. The core offerings consist of three primary consulting services: Mentoring (a six-step mentorship program), Architecture Reviews (vendor-neutral technology evaluation), and Project Acceleration (consulting to accelerate Big Data initiatives). Supporting these are educational products including technical courses (Professional Data Engineering, Professional Kafka Development, Professional Spark Development, Professional Hadoop Development, Data Engineering with Apache Beam, Modern Application Architectures, and Real-time Systems), management workshops (Business of Big Data and Data Teams and Big Data), and tools (Probability of Success Calculator and Custom Class Creator). Additionally, they provide a free ebook, 'Data Engineering Teams,' as a resource. The portfolio is structured as consultative services complemented by self-service training and assessment tools.

Differentiator

Problem solved

Functional benefit

Products and services

• Big Data Mentoring A six-step mentorship program designed to help organizations build successful Big Data teams and projects through knowledge transfer, team assessment, training, architecture review, and ongoing support. Targeted at enterprise and startup clients seeking to build data engineering capabilities.
• Architecture Reviews Vendor-neutral review of a client's Big Data architecture to verify correct technology choices, identify potential blockers, and ensure use cases can be implemented effectively. Delivered as a consulting engagement for organizations planning or executing Big Data projects.
• Project Acceleration Consulting service to accelerate Big Data projects by optimizing resources, building stronger teams, and providing technical and management expertise. Targeted at organizations whose Big Data initiatives need external intervention to move forward.
• Professional Data Engineering Course Comprehensive two-week online course covering the Big Data ecosystem with in-depth coverage of Spark, Hive, HBase, Parquet, Sqoop, Flume, and D3.js for creating full data pipelines. Targeted at data engineers and developers.
• Data Engineering with Apache Beam Course One-day course teaching professional development with Apache Beam, covering Beam's features, API, windows, side inputs, and integration with Kafka, BigTable, and BigQuery. Targeted at developers and data engineers.
• Professional Kafka Development Course Course covering Apache Kafka development from basics to advanced topics including producers/consumers, Avro serialization, Kafka Connect, Kafka Streams, and KSQL. Targeted at developers and data engineers working with streaming data.
• Professional Spark Development Course Three-day course covering Apache Spark development including Spark SQL, streaming, advanced API, shuffling, caching, and integration with Hadoop MapReduce. Targeted at developers and data engineers.
• Professional Hadoop Development Course Four-day course covering Hadoop development including HDFS, MapReduce, Apache Crunch, Hive, Sqoop, Flume, Hue, and Oozie for ETL and Big Data solutions. Targeted at developers and data engineers.
• Modern Application Architectures Course Two-day course covering cloud computing, Hadoop, NoSQL databases (HBase and Cassandra), and modern application scalability patterns. Targeted at architects and senior developers.
• Real-time Systems with Spark Streaming and Kafka Course Course on real-time Big Data systems covering Apache Kafka, Apache Spark Streaming, cloud providers (AWS, Azure, GCP), and real-time data visualization. Targeted at developers and data engineers building streaming systems.
• Business of Big Data Workshop Non-technical workshop for managers and executives covering Big Data strategy, profitability, and practical application to business problems. Targeted at business leaders and executives.
• Data Teams and Big Data Workshop Workshop covering the structure and resources needed for data teams including data science, data engineering, and DataOps team roles and collaboration. Targeted at managers building or scaling data teams.
• Custom Class Creator Online tool allowing organizations to customize training courses by selecting specific modules or choosing from popular class templates to meet team needs. Sold as part of bespoke training engagements for enterprise teams.

Quantifiable outcome

• 90%+ client success rate vs 85% industry failure rate for Big Data projects
• +4 more outcomes

Named customers4 records

Segments3 records

Ideal customer profiles3 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature3 records

Partnerships

One partnership is on record.

• Google Cloud PlatformcoreTechnology or IntegrationBig Data Institute is a Google Cloud Platform Authorized Trainer, providing official training on GCP technologies and cloud-based big data solutions.

Scale indicators4 records

Recent moves6 records

Expansion highlights4 records

Broad incumbents

• Cloudera: Enterprise data platform vendor with a long-standing training and professional services practice around Hadoop and the modern data stack. Comparable because Cloudera offers vendor-specific training that competes with BDI's vendor-neutral architecture reviews.
• Databricks: Unified data and AI platform vendor with training, certification, and professional services around Apache Spark, Delta Lake, and MLflow. Comparable because it absorbs demand that might otherwise go to Apache-stack mentors like BDI by packaging tooling, training, and services together.
• Slalom: Large, US-based consulting firm with a significant data and analytics practice that advises enterprises on data strategy, architecture, and team build-out. Comparable as a broader competitor that also helps clients stand up data engineering teams and choose platforms.
• O'Reilly (Safari Learning): Established technology learning platform combining books, video courses, and live training — including Jesse Anderson's own published titles. Comparable because O'Reilly is both a publisher of BDI's founder and a competing channel for technical training distribution.

Emerging players

• Confluent: Commercial sponsor of Apache Kafka offering training, certification, and professional services around streaming data. Comparable because it is both a BDI partner and a direct training competitor in the Kafka specialization, and also currently employs the BDI founder.
• DataStax: Real-time data company built on Apache Cassandra with training, consulting, and managed services for NoSQL and streaming workloads. Comparable as an adjacent vendor offering training and architecture services that partially overlap BDI's Modern Application Architectures and Real-time Systems courses.

Direct peers

• Pluralsight: Large-scale technology and data skills training platform offering on-demand courses for engineers, including data engineering tracks. Directly comparable because Big Data Institute sells overlapping instructor-led and online courses (Kafka, Spark, Hadoop) to enterprise engineers.
• Tiger Analytics: Data and AI analytics consulting firm serving Fortune 500 clients with project delivery and team-building services. Comparable because both sell outcome-oriented data consulting to large enterprises, though Tiger Analytics skews more toward model delivery and BDI toward capability building.
• DataCamp: Online learning platform focused on data science and data engineering skills, with subscription-based courses. Comparable because both target enterprise data teams with structured technical curricula and assessment-driven learning paths.
• Insight Data Science: Fellowship and training program that upskills PhDs and engineers into data science and data engineering roles. Comparable because both firms productize the 'build a data team from scratch' problem and sell to enterprises seeking accelerated talent pipelines.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat3 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xtwitter.com/BigDataIns
• LinkedInlinkedin.com/company/big-data-institute-us

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Big Data Institute