{"id":46073,"date":"2016-09-29T16:48:06","date_gmt":"2016-09-29T11:18:06","guid":{"rendered":"http:\/\/vskills.in\/certification\/blog\/?p=46073"},"modified":"2024-04-03T13:13:51","modified_gmt":"2024-04-03T07:43:51","slug":"nasas-mars-rover-real-time-analytics-150-million-miles-from-earth","status":"publish","type":"post","link":"https:\/\/www.vskills.in\/certification\/blog\/nasas-mars-rover-real-time-analytics-150-million-miles-from-earth\/","title":{"rendered":"NASA\u2019s Mars Rover"},"content":{"rendered":"

\"nasa\"<\/a><\/p>\n

The team in control of NASA\u2019s Mars Rover spacecraft now have Big Data driven analytical engines at their fingertips.<\/p>\n

The same open source ElasticSearch technology used by the likes of Netflix and Goldman Sachs is now being put to use planning the actions of the Curiosity rover, which landed on the red planet in 2012. And the next mission, due to launch in 2020 with the primary mission of finding evidence of ancient life on the planet, is being built around the technology from the ground up.<\/p>\n

NASA\u2019s Jet Propulsion Labs, which runs the day-to-day mission planning, has rebuilt its analytics systems around ElasticSearch which now processes all of the data transmitted from the Rover during its four daily scheduled uploads.<\/p>\n

These uploads cover tens of thousands of data points \u2013 every reading taken by Curiosity\u2019s onboard sensors including temperature on the Martian surface, atmospheric composition, and precise data on the rover\u2019s equipment, tools and actions.<\/p>\n

All of Curiosity\u2019s operations are planned a day in advance based on data received the previous day. This move to a real time analytics vastly speeds up the time in which decisions can be taken by mission control.<\/p>\n

ElasticSearch \u2013 which recently achieved its 50 millionth download \u2013 means that patterns and anomalies in the datasets can be spotted far more quickly. Correlations which could provide mission-critical insights are more likely to become apparent, leading to a greater rate of scientific discovery and less danger or malfunction or failure.<\/p>\n

NASA JPL data scientist Dan Isla told me \u201cThis has been very transformational from an operational point of view. We can get very quick insights over multiple days\u2019 worth of data, or even the entire mission, in just a few seconds, without delays. We can actually ask questions and get answers quicker than we can think up new questions.\u201d<\/p>\n

One application is anomaly resolutions. When it appears that there is a problem with the spacecraft, precise details of its operations can immediately be analyzed to find out when the last time this situation occurred, and what other elements were in play at the time.<\/p>\n

The system is also used for the vital function of managing power generated by the rover\u2019s radioisotope thermoelectric and solar power generators. The trickle charge system only makes around 100 watts of power available to the craft and its instruments at any one time consistently.<\/p>\n

This means that power management must be carefully planned in advance. As Isla explains, \u201cusing ElasticSearch we can budget this power much more effectively, we can look at the data and see \u2018ok, this is what we used yesterday, and this is the state of the batteries, and this is our plan coming up\u2026\u2019 we can build a power model very quickly. \u201cWith ElasticSearch everyone can do analytics, ask questions at the same time and get the same results, we\u2019re all working together now. Everyone\u2019s very agile now.\u201d<\/p>\n

This isn\u2019t NASA\u2019s only project to use ElasticSearch. It was incorporated into the Mars Rover program after being successfully tested in the Soil Moisture Active Packing mission, launched last year. SMAP uses high powered radar and radiometer to analyze and capture high resolution data on soil moisture across the globe. A full moisture map of the Earth\u2019s surface is generated every three days \u2013 data creation an order of magnitude greater than that of the Mars Rover. While the rover has so far generated around 1 billion data points, the SMAP project is already pushing 20 billion.<\/p>\n

Perhaps the most exciting aspect of Mars exploration today is the possibility of discovering whether or not the planet was ever home to life. It is thought that ElasticSearch will greatly speed up the answering of this question.<\/p>\n

Isla tells me \u201cCuriosity was designed to find out whether Mars was ever a habitable environment. During the course of the mission we\u2019ve been able to confirm that yes, it was. The next mission \u2013 in 2020 \u2013 we\u2019re taking life detection instruments and we need more capabilities, more instruments and we need to be able to do it faster.<\/p>\n

\u201cWe can\u2019t be spending hours analyzing the data, so we need to take the ElasticSearch approach that we implemented fairly early into Curiosity and do that from day one. We\u2019re definitely baselining this tech as our operational data system.\u201d<\/p>\n

 <\/p>\n

For Big Data certification – http:\/\/www.vskills.in\/certification\/Big-data<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The team in control of NASA\u2019s Mars Rover spacecraft now have Big Data driven analytical engines at their fingertips. The same open source ElasticSearch technology used by the likes of Netflix and Goldman Sachs is now being put to use planning the actions of the Curiosity rover, which landed on the red planet in 2012….<\/p>\n","protected":false},"author":1,"featured_media":51645,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[863,920],"tags":[6247,862],"class_list":["post-46073","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-information-technology","tag-big-data","tag-big-data-and-apache-hadoop-developer-certification"],"acf":[],"yoast_head":"\nNASA\u2019s Mars Rover - Vskills Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.vskills.in\/certification\/blog\/nasas-mars-rover-real-time-analytics-150-million-miles-from-earth\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NASA\u2019s Mars Rover - Vskills Blog\" \/>\n<meta property=\"og:description\" content=\"The team in control of NASA\u2019s Mars Rover spacecraft now have Big Data driven analytical engines at their fingertips. 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