Kukurukurirana - 

0

Kukurukurirana - 

0

Big Data Vs. Data Sayenzi

Panogona kusave nemusiyano mukuru pakati pedata hombe uye nesainzi parizvino, zvagara zvichikurudzira pfungwa dzevazhinji uye kudziisa mudambudziko. Mune ino blog, isu tichafukidza iwo musiyano chaiwo pakati pematemu maviri aya zvakadzama. Tichatanga nezvinoreva chimwe nechimwe chazvo.

Data Science

An evolutionary extension of nhamba that deals with large volumes of information with the help of computer science technologies. Yakaridza yakakosha role mukuwedzera kwe chakagadzirwa njere, Machine pakudzidza, ivo Indaneti zvinhu (IoT), nezvimwe.

Big Data

Deals ine muunganidzwa wakakura weruzivo rwakabatanidzwa kubva kwakasiyana masosi uye zvakare inowanikwa mune akajairika mafomati edhatabhesi. Izvo zvinobatsira kupa zviri nani kuona pamusoro pekutora sarudzo uye manejimendi manejimendi.

kupatsanura

Yakakura data yakarongedzwa seyakarongeka, semi-yakarongedzwa, uye isina kurongeka:

  • Isina kurongeka - ruzivo izvo zvisati zvatsanangurwa senge, social network, maemail, mablog, mifananidzo yedhijitari, nezviri mukati
  • Semi-yakarongedzwa - Iko pasina iko kupatsanurwa kweruzivo mune dhatabhesi modhi pamwe, huwandu hwechimiro hunoenderana nechinangwa. Semuenzaniso: XML mafaera, mafaira eJSON, NoSQL dhatabhesi, nezvimwe.
  • Yakarongedzwa - Inoteera inorongeka uye inogona kuwanikwa zvirinani uye ishandiswe nemunhu kana chirongwa chekomputa. Semuenzaniso: mazita, kero, nezvimwe.

Nepo ruzivo rwakarongeka rwuri nyore kunzwisisa, chimiro chisina kurongeka chinoda nzira dzekuenzanisira dzemhando yepamusoro kuti dzibvise ruzivo uchishandisa maturusi akasiyana siyana uye matekinoroji.

Misiyano yakakosha - Big Data vs. Dhina Sayenzi

Iko kune chakati wandei kusagadzikana pakati pezvinhu zviviri izvi. Kunyange machine learning iri subset ye data science, havana kufanana.

  • guru dhata analytics helps organizations to harness information efficiency to understand the untapped market, thereby enhance competitiveness and efficiency. On the other hand, data science is concentrated more towards providing modeling techniques and methods to evaluate information in a precise manner.
  • The amount of raw information collected by companies is massive. The attempt to utilize this information to extract actionable insights is data science.
  • Iwo ma3V anotungamira kushandiswa kwedata hombe ivelositi, dzakasiyana, uye vhoriyamu.
  • Data Science uses theoretical as well as practical means to garner insights from large volumes of information. On the other hand, big data is a pool of unstructured information with no inherent value unless analyzed with deductive and inductive reasoning.
  • Big data analysis involves an enormous amount of information that needs to be mined. Data yesayenzi tizvishandise machine learning algorithms ekugadzira uye kukudziridza manhamba ezviverengero kuti aburitse nzwisiso kubva murwi werimwe ruzivo rusina kurongeka.

Iko kwekare kunorondedzera zvimwe netekinoroji, zvishandiso zvemakomputa, uye software, iyo yekupedzisira inotarisa zvakanyanya pasarudzo dzebhizinesi.

mhedziso

Iyo yazvino maitiro mune yeruzivo chikamu chikamu indasitiri inowanzo tarisa zvakanyanya pane hombe data pane iyo sainzi. Iko kushandiswa kweimwe kunobvumidza mabhizinesi kucherechedza akasiyana vatengi maitiro, maitiro, uye maitiro, nepo imwe ichiwedzera kukosha kune bhizinesi nekubatsira makambani mukuita sarudzo zviri nani.

Tags:

Anurag

0 Comments

Ungazvidyawo Like

Subscribe To Newsletter Vedu

Subscribe To Newsletter Vedu

Joinha yedu yekutumira runyorwa kuti ugamuchire zvazvino nhau nekuvandudzwa kubva kuchikwata chedu.

Iwe Zvinobudirira akanyoresa!

Share This
%d bloggers seizvi: