Big Data storage platforms have slow query speeds and limited visualization options. Use Sqoop to pull data from Hadoop into MapD for millisecond queries and visualization. It's still Big. Now it's Fast.
Important realizations come from answers to thousands of small questions that arise during the research. With MapD, iterative exploration moves quickly, so you can find answers you weren’t seeking.
Analytic platforms favored by statisticians or Python engineers can keep insights separated from front-line data workers. MapD’s intuitive dashboards make analytics easy for anyone with a web browser.
Those who plan public infrastructure or environmental policy study how weather affects a place over time. The US Military needs to understand how hills, roads, and rivers will impact troop movements. Legacy BI and GIS solutions may draw maps for those scenarios, but they were designed before geolocation data was Big. They can’t cross-filter geo charts with time-series data at scale.
MapD’s extreme analytics platform is a new type of “time machine” for researchers and planners who need to display data on a map, with the ability to quickly filter by different time periods. With MapD, researchers can quickly see how decades of floods, wildfires, or wars have moved across the land and affected a place of interest.
Smart meters have given public utilities at least 1,000 times more data on how electricity is generated, distributed and consumed. Yet the volume and speed of that new smart meter data swamps their legacy analytics platforms. Slow, incomplete insight stymies industry innovations like time-of-use pricing and net metering.
Households use different amounts of electricity every hour, and demand fluctuates. Changes to weather, demographics, pricing schedules and many more factors drive the difference between electricity production and consumption. MapD helps utilities research past consumption and make operational decision to balance the grid.
A human genome is equivalent to about 1.5 gigabytes. About three genomes fit on a DVD. Genomic medicine attempts to build individualized strategies for diagnoses or therapies that utilize genomic information, but legacy analytics aren’t suited to iterative trials at scale. Legacy tools aren't suited to visual exploration of the genomic data for hundreds of individuals.
MapD offers researchers a platform to discover genetic opportunities for trials of new life-saving treatments. When scientists can visualize and cross-filter data with such transformative efficiency, they uncover hidden patterns and cryptic correlations between our genetics and our risks for cancer, heart disease or inherited disorders.