722

Of your peers have already watched this video.

36:30 Minutes

The most insightful time you'll spend today!

Case Study

Don’t sweat the big stuff. Make it Google’s problem

Need to interpolate new time series data values over 5 billion rows? Don’t reach for python. Make that Google’s problem and do it in BigQuery.

Need to aggregate petabytes of geospatial data across arbitrary polygons and put it on a map for analysis? Make that Google’s problem and use BQ-GIS.

Great – your map was awesome and now we need it every hour. Roll your own Airflow server? Nope. Make that Google’s problem. You see the pattern.

Geotab, which operates in in the telematics space, applies instrumenting to vehicles to learn how to optimize fleet maintenance, routes and costs, and even find way to optimize city infrastructure.

Geotab has been a long-time customer of Google Cloud products. They leverage the entire GCP suite to empower data scientists to efficiently ingest, process, and analyze petabytes of IoT data.

One of the keys to their pace of innovation and growth has been to focus on their key competencies and partner with others to fill in the gaps.

For Geotab’s data scientists this means focusing on the data and model-building and whenever possible making the processing, storage, and orchestration, well Google’s problem.

More Relevant Stories for Your Company

Explainer

What is BigQuery?

BigQuery is Google Cloud's enterprise data warehouse designed to help you ingest, store, analyze, and visualize big data with ease. Organizations rely on data warehouses to aggregate data from disparate sources, process it, and make it readily available for data analysis that supports their strategic decision-making. You can ingest data

Case Study

Quantum Metric Increases Business 10-fold

At Quantum Metric, we’re in the business of bringing our customers business insights that are based on customer experience data and analytics for mid-market and Fortune 500 companies. Our software, powered by big data, machine intelligence, and Google Cloud, helps our customers identify, quantify, prioritize and measure opportunities to improve

Case Study

How a Mid-Sized Firm is Shrinking Inventory Carryovers 50% with AI

For more than 10 years, NMK Textile Mills has manufactured bed linens for major retailers in the United States and Canada. As e-commerce exploded, the company’s co-founder saw an opportunity to grow the business. So, in addition to manufacturing bed linens wholesale for retail customers, NMK Textile Mills reworked its complete supply

Blog

Google is a Leader in the 2019 Gartner Magic Quadrant for Data Management Solutions for Analytics

As organizations continue to produce vast quantities of data, they increasingly need platforms that allow them to analyze, store, and extract meaningful insights from that data. And research from analyst firms like Gartner offer an important way for organizations to evaluate and compare cloud data warehouse providers. Earlier this year,

SHOW MORE STORIES