{"id":248038,"date":"2026-04-23T13:59:16","date_gmt":"2026-04-23T11:59:16","guid":{"rendered":"https:\/\/blog.adesso-bc.com\/data-mesh-vs-data-space-melyik-megkoezelites-illik-az-adatmegosztasi-use-case-edhez-1-resz\/"},"modified":"2026-05-11T11:04:03","modified_gmt":"2026-05-11T09:04:03","slug":"data-mesh-vs-data-space-melyik-megkoezelites-illik-az-adatmegosztasi-use-case-edhez-1-resz","status":"publish","type":"post","link":"https:\/\/blog.adesso-bc.com\/hu\/data-mesh-vs-data-space-melyik-megkoezelites-illik-az-adatmegosztasi-use-case-edhez-1-resz\/","title":{"rendered":"Data Mesh vs. Data Space: Melyik megk\u00f6zel\u00edt\u00e9s illik az adatmegoszt\u00e1si use case-edhez? (1. r\u00e9sz)"},"content":{"rendered":"\n

(R\u00e9szlet a saj\u00e1t kutat\u00e1si cikkemb\u0151l: \u201cData Mesh and Data Space: A Comparative Analysis with a Focus on Governance.\u201d \u2013 Papp Attila \u00e9s t\u00e1rsai.)<\/em><\/p>\n\n

Ahogy a szervezetek egyre ink\u00e1bb adatvez\u00e9relt \u00fczleti modellek fel\u00e9 mozdulnak, felmer\u00fcl egy kulcsk\u00e9rd\u00e9s: hogyan osszuk meg az adatokat \u2013 a v\u00e1llalaton bel\u00fcl vagy egy teljes \u00f6kosziszt\u00e9m\u00e1n \u00e1t\u00edvel\u0151en?<\/strong><\/p>\n\n

Az adatarchitekt\u00far\u00e1k folyamatos fejl\u0151d\u00e9sen mennek kereszt\u00fcl, \u00e9s a leg\u00fajabb trend a v\u00e1llalaton bel\u00fcli \u00e9s v\u00e1llalatok k\u00f6z\u00f6tti adatmegoszt\u00e1s (data sharing) lehet\u0151v\u00e9 t\u00e9tele. Ez a modern v\u00e1llalatok \u00e9ltet\u0151 eleme: \u00e9rt\u00e9kes insight-okat t\u00e1r fel, gyorsabb innov\u00e1ci\u00f3t \u00e9s reziliensebb, data-driven d\u00f6nt\u00e9shozatalt tesz lehet\u0151v\u00e9, mik\u00f6zben t\u00e1mogatja az olyan transzparencia-el\u0151\u00edr\u00e1sokat is, mint az ESG, valamint a k\u00f6zelg\u0151 data sovereignty-szab\u00e1lyoz\u00e1sokat. R\u00f6viden: a megosztott adatok az elszigetelt t\u00e9nyeket kollekt\u00edv intelligenci\u00e1v\u00e1 alak\u00edtj\u00e1k. <\/p>\n\n

M\u00edg a v\u00e1llalaton bel\u00fcli adatmegoszt\u00e1st els\u0151sorban az analitika, a hat\u00e9konys\u00e1g \u00e9s a data-driven d\u00f6nt\u00e9shozatal hajtja, addig a v\u00e1llalatok k\u00f6z\u00f6tti adatmegoszt\u00e1s motiv\u00e1ci\u00f3ja f\u0151k\u00e9nt szab\u00e1lyoz\u00e1si eredet\u0171. Mindazon\u00e1ltal a k\u00e9t, kialakul\u00f3ban l\u00e9v\u0151 megk\u00f6zel\u00edt\u00e9s – a data mesh \u00e9s a data space – els\u0151 r\u00e1n\u00e9z\u00e9sre meglehet\u0151sen hasonl\u00f3, \u00edgy \u00e9rdemes k\u00f6zelebbr\u0151l megvizsg\u00e1lni. Ez a poszt egy r\u00e9szletet k\u00f6z\u00f6l a hamarosan megjelen\u0151 publik\u00e1ci\u00f3nkb\u00f3l: <\/p>\n\n

Data Mesh<\/strong> (Dehghani 2020 szerint<\/a>):<\/strong> egy domain-orient\u00e1lt, self-serve architekt\u00fara, amely az adatot term\u00e9kk\u00e9nt (data as a product) kezeli, \u00e9s federated, automatiz\u00e1lt policy-kon kereszt\u00fcl \u00e9rv\u00e9nyes\u00edti a governance-t.<\/p>\n\n

Data Space<\/strong> (Data Spaces Support Centre szerint<\/a><\/strong>): <\/strong>egy szervezetk\u00f6zi keretrendszer, amely szuver\u00e9n, megb\u00edzhat\u00f3 adatcser\u00e9t tesz lehet\u0151v\u00e9 egy k\u00f6z\u00f6s rulebook \u00e9s ny\u00edlt interoperability-szabv\u00e1nyok ment\u00e9n.<\/p>\n\n

Mindk\u00e9t esetben a c\u00e9l a decentraliz\u00e1lt adatmegoszt\u00e1s lehet\u0151v\u00e9 t\u00e9tele. Ezt azonban k\u00fcl\u00f6nb\u00f6z\u0151 \u00faton \u00e9rik el. A data mesh a nagy amerikai v\u00e1llalatokn\u00e1l j\u00f6tt l\u00e9tre azzal a c\u00e9llal, hogy feloldja a data lake-ek \u00e1ltal okozott sz\u0171k keresztmetszeteket; a data space ezzel szemben az Eur\u00f3pai Uni\u00f3ban alakult ki a szervezetk\u00f6zi adatmegoszt\u00e1s t\u00e1mogat\u00e1s\u00e1ra. A data mesh-t teh\u00e1t a hat\u00e9konys\u00e1g \u00e9s a domainek megn\u00f6velt auton\u00f3mi\u00e1ja hajtja, az \u00e1tfog\u00f3 c\u00e9l pedig az id\u0151ben rendelkez\u00e9sre \u00e1ll\u00f3 analitika biztos\u00edt\u00e1sa a data-driven d\u00f6nt\u00e9shozatal t\u00e1mogat\u00e1sa \u00e9rdek\u00e9ben. A data space-t ezzel szemben a sovereignty, a transzparencia \u00e9s a m\u00e9lt\u00e1nyoss\u00e1g motiv\u00e1lja, f\u0151 value proposition-je pedig a megb\u00edzhat\u00f3 adatcsere lehet\u0151v\u00e9 t\u00e9tele a k\u00f6z\u00f6s innov\u00e1ci\u00f3 \u00e9s a compliance \u00e9rdek\u00e9ben. <\/p>\n\n

A k\u00f6z\u00f6s von\u00e1sok f\u0151k\u00e9nt az interoperability-ben \u00e9s a data product szeml\u00e9letben rejlenek, mivel mindk\u00e9t megk\u00f6zel\u00edt\u00e9s term\u00e9kk\u00e9nt tekint az adatra. A data mesh ezt els\u0151sorban governance alatt \u00e1ll\u00f3 analitikai eszk\u00f6zk\u00e9nt l\u00e1tja, a monetiz\u00e1ci\u00f3 pedig nem fontos, ami \u00e9les ellent\u00e9tben \u00e1ll a data space-szel. A policy-k mint a hozz\u00e1f\u00e9r\u00e9st le\u00edr\u00f3 egys\u00e9gek (vagy a data space-ek eset\u00e9ben a data sharing agreement-ek) t\u00f6bb ter\u00fcleten is konvergenciapontk\u00e9nt szolg\u00e1lhatnak. <\/p>\n\n

Az al\u00e1bbi t\u00e1bl\u00e1zat r\u00e9szletesebb \u00f6sszehasonl\u00edt\u00e1st ny\u00fajt:<\/p>\n\n

Dimenzi\u00f3<\/strong><\/td>Data Mesh<\/strong><\/td>Data Space<\/strong><\/td><\/tr>
Eredet<\/td>Nagy amerikai v\u00e1llalatokn\u00e1l j\u00f6tt l\u00e9tre, hogy feloldja a k\u00f6zpontos\u00edtott data lake-ek sz\u0171k keresztmetszeteit.<\/td>Az Eur\u00f3pai Uni\u00f3ban alakult ki, hogy lehet\u0151v\u00e9 tegye a szervezetk\u00f6zi adatmegoszt\u00e1st data sovereignty mellett.<\/td><\/tr>
Tipikus hat\u00f3k\u00f6r<\/td>Intra-company:<\/em> egy szervezeten bel\u00fcl t\u00f6bb \u00fczleti domain.<\/td>Inter-company<\/em>: \u00f6kosziszt\u00e9ma- vagy ipar\u00e1g-szint\u0171.<\/td><\/tr>
Els\u0151dleges hajt\u00f3er\u0151<\/td>Hat\u00e9konys\u00e1g \u00e9s domain-auton\u00f3mia.<\/td>Sovereignty, transzparencia \u00e9s m\u00e9lt\u00e1nyoss\u00e1g.<\/td><\/tr>
Kulcsprobl\u00e9ma<\/td>A centraliz\u00e1lt sil\u00f3k lass\u00edtj\u00e1k az analitik\u00e1t: a csapatoknak ownership kell a saj\u00e1t data product-jaik felett.<\/td>A k\u00f6zpontos\u00edtott platformok nem tudj\u00e1k kiel\u00e9g\u00edteni a c\u00e9gek k\u00f6z\u00f6tti bizalmi, jogi \u00e9s versenyhelyzeti elv\u00e1r\u00e1sokat.<\/td><\/tr>
Value Proposition<\/td>Gyorsabb sz\u00e1ll\u00edt\u00e1s, agilis analitika \u00e9s data democratization.<\/td>Megb\u00edzhat\u00f3 adatcsere, k\u00f6z\u00f6s innov\u00e1ci\u00f3, compliance a szab\u00e1lyoz\u00e1sokkal (pl. EU Data Act, CSRD).<\/td><\/tr>
Indul\u00e1si must-have-ek<\/td>Domain-driven kult\u00fara, platform-csapat, self-serve tooling.<\/td>K\u00f6z\u00f6s rulebook, \u00e9rett bels\u0151 governance minden r\u00e9sztvev\u0151n\u00e9l, interoperability-szabv\u00e1nyok.<\/td><\/tr>
Decentraliz\u00e1ci\u00f3 f\u00f3kusza<\/td>A team-eket<\/em> hatalmazza fel egy v\u00e1llalaton bel\u00fcl.<\/td>A szervezeteket<\/em> (s\u0151t az egy\u00e9neket is) hatalmazza fel egy \u00f6kosziszt\u00e9m\u00e1n bel\u00fcl.<\/td><\/tr>
Interoperability szintje<\/td>S\u00e9m\u00e1k, contract-ok \u00e9s metaadatok enterprise szinten egyeztetve.<\/td>Jogi, szervezeti, szemantikai \u00e9s technikai r\u00e9tegek sector <\/em>szinten egyeztetve.<\/td><\/tr>
Data-Product gondolkod\u00e1sm\u00f3d<\/td>Data product = governance alatt \u00e1ll\u00f3 analitikai dataset; az \u00fczleti \u00e9rt\u00e9k m\u00e1sodlagos.<\/td>Data product = gazdas\u00e1gi egys\u00e9g monetiz\u00e1ci\u00f3ra; a technikai\/metaadat-specifik\u00e1ci\u00f3k ezt k\u00f6vetik.<\/td><\/tr>
Tech stack trendek<\/td>Gyakran cloud-native „dobozos” szolg\u00e1ltat\u00e1sok (pl. Databricks, AWS DataZone); az OSS egyre er\u0151sebb (Iceberg, Polaris).<\/td>Er\u0151s OSS-kult\u00fara (Gaia-X, Eclipse Dataspace Components) plusz vendor-neutral connector-\u00f6k.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n

(A. Papp et al. nyom\u00e1n, hamarosan megjelen\u0151 publik\u00e1ci\u00f3)<\/em><\/p>\n\n

3 kulcsfontoss\u00e1g\u00fa tanuls\u00e1g<\/h2>\n\n
    \n
  1. Ugyanaz a c\u00e9l, elt\u00e9r\u0151 kiindul\u00f3pont.<\/strong> Mindk\u00e9t paradigma a megism\u00e9telhet\u0151, megb\u00edzhat\u00f3 \u00e9s biztons\u00e1gos adatmegoszt\u00e1st c\u00e9lozza. A Data Mesh a v\u00e1llalaton bel\u00fcl kezd\u0151dik; a Data Space a v\u00e1llalatok k\u00f6z\u00f6tt. <\/li>\n\n\n\n
  2. A governance kulcsfontoss\u00e1g\u00fa.<\/strong> A Data Mesh a federated computational governance-re t\u00e1maszkodik: a lok\u00e1lis team-ek birtokolj\u00e1k a policy-kat, de megfelelnek a platformba be\u00e9p\u00edtett, v\u00e1llalatszint\u0171 guardrail-eknek. A Data Space-ek egy rulebook-ban formaliz\u00e1lj\u00e1k a bizalmat, amelyet egy \u00f6kosziszt\u00e9ma-szint\u0171 Governance Authority \u00e9rv\u00e9nyes\u00edt. <\/li>\n\n\n\n
  3. A konvergencia k\u00f6zeleg. <\/strong>A ny\u00edlt table format-ok, a k\u00f6z\u00f6s vokabul\u00e1rumok \u00e9s a policy engine-ek (pl. IDS Contracts, OPA) cs\u00f6kkentik a szakad\u00e9kot. Sz\u00e1m\u00edthatunk olyan hibrid architekt\u00far\u00e1kra, ahol egy bels\u0151 mesh k\u00f6zvetlen\u00fcl egy k\u00fcls\u0151 data space-be csatlakozik. <\/li>\n<\/ol>\n\n

    Mi k\u00f6vetkezik?<\/h2>\n\n

    A sorozat m\u00e1sodik r\u00e9sz\u00e9ben a k\u00e9t megk\u00f6zel\u00edt\u00e9s elt\u00e9r\u0151 governance-modelljeit hasonl\u00edtjuk \u00f6ssze. A r\u00e9szletes tudom\u00e1nyos publik\u00e1ci\u00f3 hamarosan megjelenik. K\u00f6vess minket, hogy \u00e9rtes\u00fclj az \u00fajdons\u00e1gokr\u00f3l. <\/p>\n\n

    Te melyik paradigm\u00e1t vizsg\u00e1lod, \u00e9s mi\u00e9rt?<\/p>\n","protected":false},"excerpt":{"rendered":"

    (R\u00e9szlet a saj\u00e1t kutat\u00e1si cikkemb\u0151l: \u201cData Mesh and Data Space: A Comparative Analysis with a Focus on Governance.\u201d \u2013 Papp Attila \u00e9s t\u00e1rsai.) Ahogy a szervezetek egyre ink\u00e1bb adatvez\u00e9relt \u00fczleti modellek fel\u00e9 mozdulnak, felmer\u00fcl egy kulcsk\u00e9rd\u00e9s: hogyan osszuk meg az adatokat \u2013 a v\u00e1llalaton bel\u00fcl vagy egy teljes \u00f6kosziszt\u00e9m\u00e1n \u00e1t\u00edvel\u0151en? Az adatarchitekt\u00far\u00e1k folyamatos fejl\u0151d\u00e9sen mennek […]<\/p>\n","protected":false},"author":11,"featured_media":248037,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"categories":[301],"tags":[797,798,799],"class_list":["post-248038","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized-hu","tag-data-mesh","tag-data-space","tag-governance","blogauthor-attila-papp"],"acf":[],"yoast_head":"\nData Mesh vs. Data Space: Melyik megk\u00f6zel\u00edt\u00e9s illik az adatmegoszt\u00e1si use case-edhez? 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