E kamaʻilio ka poʻe loea Microsoft maikaʻi loa e pili ana i nā hiʻohiʻona hou ma SQL Server 2019: ʻenehana SQL Server Big Data Clusters no ka hana ʻana me ka ʻikepili nui a me ka aʻo ʻana i ka mīkini, ʻenehana Polybase no ka loaʻa ʻana o ka ʻikepili i nā kumu waho me ka ʻole o ke kope ʻana, kākoʻo no nā ipu, e hana ana ma OS. ʻO Linux a me nā huahana hou he nui i MS SQL Server 2019!
E hāʻawi ʻia kahi hōʻike ʻokoʻa i ka ʻoihana naʻauao ʻoihana Microsoft Power BI!
Ke kono nei mākou iā ʻoe e hele i ka hōʻike ʻana i ka mana hou o ka hoʻokele data hybrid platform SQL Server 2019! , pono, aia nā kikoʻī ma lalo o ka ʻoki.
Ua ʻike paha ʻoe ua hoʻokuʻu mākou i kahi mana hou o ka SQL Server DBMS - SQL Server 2019? Ua hoʻopuka kēia hoʻokuʻu ʻana i ka hoihoi like ʻole me nā hiʻohiʻona hou he nui, a ʻoi aku ka wikiwiki o ka unuhi ʻana o nā hui i nā ʻōnaehana ʻike ma mua o ka hoʻokuʻu mua ʻana. Me ka hoʻololi ʻana i SQL Server 2019, neʻe mālie nā ʻoihana mai nā hoʻonohonoho Hadoop kumukūʻai a hoʻopaʻa i nā pūʻulu ʻikepili nui. Ke hoʻololi nei ke ʻano o ka ʻike ʻana i ka ʻikepili: hiki i ka hiki ke ʻike i ka ʻikepili hou i hiki ke hoʻolālā i nā papahana hou me ka ʻole o ka pono o ka neʻe ʻana o ka ʻikepili kumu kūʻai a me nā kope ʻikepili mua. Hoʻonui ʻia nā haʻahaʻa hana e kū nei me kahi ʻano o nā hiʻohiʻona ʻikepili naʻauao hou.
He mea paʻakikī paha iā ʻoe ka mālama ʻana i nā ʻano e puka mai nei. ʻO ia ke kumu e hauʻoli ai mākou e kono iā ʻoe e hele i kā mākou hanana ma Malaki 3 ma 09:30 ma Spartakovsky Lane 2с1, komo helu 7, e hoʻomaopopo i nā kumu o ka hoihoi o nā hui he nui ma SQL Server 2019. Microsoft ʻōlelo mai nā ʻokoʻa. e kaʻana like nā ʻāina a me kā mākou mau hoa i ko lākou manaʻo. Manaʻo mākou e ʻike ʻoe i nā pono āpau o kēia kahua hou. Manaʻo mākou e hālāwai me ʻoe a kūkākūkā i nā mea hiki ke hōʻemi i nā kumukūʻai, ka wikiwiki o ka hana ma nā papahana a me ka launa pū ʻana me nā mea hoʻohana.
ʻO ka papahana
09: 30 - 10: 30 Welina kofe a me ke kākau inoa ʻana o nā mea komo
10: 30 - 10: 45 ʻO ka hōʻike hoʻomaka e pili ana i ka hoʻomohala ʻana o nā mākeke Lūkini a me ka honua (Anna Kulashova - Luna Hoʻokele o ka māhele Lūkini no ka hana pū ʻana me nā mea kūʻai aku ʻoihana ma ka ʻoihana kalepa a me Mark Torr - Luna Hoʻokele o ka Data Processing a me Artificial Intelligence ma Central and Eastern Europe)
10: 45 - 11: 30 ʻO Microsoft Data Management Platform Overview (Henry Jurkauskas - Hui Kūikawā o ʻEulopa a me ʻEulopa Hikina)
11: 30 - 13: 00 ʻO ka loiloi o nā mea hou ma MS SQL Server 2019 me ka hōʻike ʻana i ka hana a me nā moʻolelo kūleʻa o ka mea kūʻai aku (Alexander Nosov - Luna Hoʻokele o ka papahana hoʻomohala platform MS SQL Server 2019, Redmond)
13: 00 - 13: 45 Hoʻomaha ʻaina awakea
13: 45 - 14: 45 Nā mea hou i loko o ka Microsoft Power BI business intelligence platform (Alexandra Chizhova - cloud solutions architect, Microsoft ma Rusia)
14: 45 - 15: 45 Kūkākūkā Panel me ke komo ʻana o nā hoa a me nā mea kūʻai aku:
15: 45 - 16: 00 ʻO ke kamaʻilio pani ʻana (Mark Torr - Luna Hoʻokele o ka ʻIke ʻIke a me Artificial Intelligence ma Central a me ʻEulopa Hikina - a he ʻelele o ka hui alakaʻi kūloko)
16: 00 - 17: 15 ʻO ka hoʻomaha kope / kamaʻilio hoʻokahi-a-kahi ma Mixer, etc.
Source: www.habr.com