Data integration can be defined as the process of combining data from different sources to form logical and valuable information by using both technical and business procedures. This process, however, comes with its own share of concerns. Here are key issues that you should focus on to guarantee a successful data integration process that yields information that can be trusted.
Data integration is fundamental when companies use more than one system. Data integration is the process of transferring data located in various data sources to other data targets. Data integration and collaboration between data systems and processes is vital because it allows processes to work faster and be more reliable and robust.
Kuunganisha data ni mchakato wa kuchanganya data kutoka vyanzo tofauti ili kuunda habari ya mantiki na yenye thamani kwa kutumia taratibu za kiufundi na biashara. Hata hivyo, mchakato huo unaleta mahangaiko mengi. Hapa ni mambo muhimu ambayo unapaswa kuzingatia kuhakikisha mchakato wa mafanikio wa kuunganisha data ambayo hutoa habari ambayo inaweza kuaminiwa. Ushirikiano wa data ni muhimu wakati makampuni kutumia mfumo zaidi ya moja. Data ushirikiano ni mchakato wa kuhamisha data ziko katika vyanzo mbalimbali vya data kwa malengo mengine ya data. Kuunganisha data na ushirikiano kati ya mifumo ya data na michakato ni muhimu kwa sababu inaruhusu michakato kufanya kazi kwa kasi zaidi na kuwa ya kuaminika na imara.