| ramangrover29 | fbaba5f | 2013-01-26 02:36:29 +0000 | [diff] [blame^] | 1 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 2 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 3 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 4 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 5 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 6 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 7 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 8 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 9 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 10 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 11 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 12 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 13 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 14 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 15 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 16 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 17 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 18 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 19 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 20 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 21 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 22 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 23 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 24 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 25 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 26 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 27 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 28 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 29 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 30 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 31 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 32 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 33 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 34 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 35 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 36 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 37 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 38 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 39 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 40 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 41 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 42 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 43 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 44 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 45 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 46 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 47 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 48 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 49 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 50 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 51 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 52 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 53 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 54 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 55 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 56 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 57 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 58 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 59 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 60 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 61 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 62 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 63 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 64 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 65 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 66 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 67 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 68 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 69 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 70 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 71 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 72 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 73 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 74 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 75 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 76 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 77 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 78 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 79 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 80 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 81 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 82 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 83 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 84 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 85 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 86 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 87 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 88 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 89 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 90 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 91 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 92 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 93 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 94 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 95 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 96 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 97 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 98 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 99 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 100 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 101 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 102 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 103 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 104 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 105 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 106 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 107 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 108 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 109 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 110 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 111 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 112 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 113 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 114 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 115 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 116 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 117 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 118 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 119 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 120 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 121 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 122 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 123 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 124 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 125 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 126 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 127 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 128 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 129 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 130 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 131 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 132 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |
| 133 | The ASTERIX project is developing new technologies for ingesting, storing, managing, indexing, querying, analyzing, and subscribing to vast quantities of semi-structured information. |
| 134 | The project is combining ideas from three distinct areas semi-structured data, parallel databases, and data-intensive computing to create a next-generation, open source software platform that scales by running on large, shared-nothing commodity computing clusters. |
| 135 | ASTERIX targets a wide range of semi-structured information, ranging from data use cases where information is well-tagged and highly regular to content use cases where data is irregular and much of each datum is textual. |
| 136 | ASTERIX is taking an open stance on data formats and addressing research issues including highly scalable data storage and indexing, semi-structured query processing on very large clusters, and merging parallel database techniques with todays data-intensive computing techniques to support performant yet declarative solutions to the problem of analyzing semi-structured information. |