Glassware used for table

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grained units (called blocklet) in task side scanning instead of scanning the whole file. to get data using indexing, the steps followed are : file pruning. blocklet pruning. binary search using inverted index. types of indexes i) index stored in file footer(enables two level of b+ tree indexing): table

level index: global b+ tree, efficient file level filtering. searching for the file, using the table level index. these files will be further used, to get the row-groups(data blocks) using the file level index. figure : table level indexing . file level index: local b+ tree, efficient blocklet level...

https://cwiki.apache.org/confluence/display/CARBONDATA/Multi+Level+Indexing

images of the february, total solar eclipse. contents: introduction eclipse images, corona eclipse image, sequence eclipse images, panoramas of lunar umbra instrumentation pictures of montana water tower "eclipses" introduction: the following images are from my total solar eclipse expedition to montana for

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continue reading meet the spices – ajwain march , vil no comments since spices form the backbone of indian cooking, i have decided to do a "meet the spices" series on the ones most commonly used. today let me introduce ajwain. these highly fragrant seeds are used in numerous indian foods both vegetarian...

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apache spot (incubating). spot-ingest — binary and log files are captured or transferred into the hadoop cluster, where they are transformed and loaded into solution data stores. spot-ml — machine learning algorithms are used for anomaly detection. spot-oa— data output from the machine learning component

public key authentication will be required. log on to the first ml node (usually the lowest-numbered node). and create a private key for the solution user. then you will need to copy those credentials to each node used for ml....

http://spot.incubator.apache.org/doc/index.html

apache spot (incubating). spot-ingest — binary and log files are captured or transferred into the hadoop cluster, where they are transformed and loaded into solution data stores. spot-ml — machine learning algorithms are used for anomaly detection. spot-oa— data output from the machine learning component

public key authentication will be required. log on to the first ml node (usually the lowest-numbered node). and create a private key for the solution user. then you will need to copy those credentials to each node used for ml....

https://spot.incubator.apache.org/doc/index.html