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(resolution / ). [ ] a follow-up outcome ofthe resolution was passed by the general assembly on december to guide its implementation. progress on implementation ofthe declaration was reviewed at the world summit of leaders. [ ] [ ] the declaration includes chapters and paragraphs. contents chapters...
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apache hadoop. tajo is designed for low-latency and scalable ad-hoc queries, online aggregation, and etl (extract-transform-load process) on large-data sets stored on hdfs (hadoop distributed file system) and other data sources. by supporting sql standards and leveraging advanced database techniques...
apache hadoop. tajo is designed for low-latency and scalable ad-hoc queries, online aggregation, and etl (extract-transform-load process) on large-data sets stored on hdfs (hadoop distributed file system) and other data sources. by supporting sql standards and leveraging advanced database techniques...
apache hadoop. tajo is designed for low-latency and scalable ad-hoc queries, online aggregation, and etl (extract-transform-load process) on large-data sets stored on hdfs (hadoop distributed file system) and other data sources. by supporting sql standards and leveraging advanced database techniques...
apache hadoop. tajo is designed for low-latency and scalable ad-hoc queries, online aggregation, and etl (extract-transform-load process) on large-data sets stored on hdfs (hadoop distributed file system) and other data sources. by supporting sql standards and leveraging advanced database techniques...
apache hadoop. tajo is designed for low-latency and scalable ad-hoc queries, online aggregation, and etl (extract-transform-load process) on large-data sets stored on hdfs (hadoop distributed file system) and other data sources. by supporting sql standards and leveraging advanced database techniques...