# /home/digilibstielm.my.id/iailm.digilibstielm.my.id/lib/helper.inc.php:90^ "Engine ⚙️ : SLiMS\SearchEngine\DefaultEngine"
^ "SQL ⚒️"
^ array:2 [ "count" => "select count(distinct b.biblio_id) from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select bt.biblio_id from biblio_topic as bt left join mst_topic as mt on bt.topic_id=mt.topic_id where mt.topic like ?))" "query" => "select b.biblio_id, b.title, b.image, b.isbn_issn, b.publish_year, mp.publisher_name as `publisher`, mpl.place_name as `publish_place`, b.labels, b.input_date, b.edition, b.collation, b.series_title, b.call_number from biblio as b left join mst_publisher as mp on b.publisher_id=mp.publisher_id left join mst_place as mpl on b.publish_place_id=mpl.place_id where b.opac_hide=0 and (b.biblio_id in(select bt.biblio_id from biblio_topic as bt left join mst_topic as mt on bt.topic_id=mt.topic_id where mt.topic like ?)) order by b.last_update desc limit 10 offset 0" ]
^ "Bind Value ⚒️"
^ array:1 [ 0 => "%big data%" ]
Three central questions concerning Big Data are how to classify Big Data, what are the best methods for managing Big Data, and how to accurately analyze Big Data. Although various methods exist to answer these questions, no single or globally accepted methodology is recognized to perform satisfactorily on all data and can be accepted since Big Data Analytics tools have to deal with the larg…