Journal of Big Data

{{short description|Scientific journal}}

{{Infobox journal

| cover =

| title = Journal of Big Data

| abbreviation =

| editor =

| discipline = Big data

| publisher = SpringerOpen

| country = Germany

| openaccess = yes

| website = https://journalofbigdata.springeropen.com/

| ISSN = 2196-1115

| OCLC = 884468200

| link1 =

| link1-name = Online access

| impact =

| impact-year =

| history = 2014-present

| frequency =

}}

Journal of Big Data is a scientific journal that publishes open-access original research on big data. Published by SpringerOpen since 2014, it examines data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems.

All articles are included in:

• ESCI
• Scopus
• DLBP
• DOAJ
• ProQuest
• EBSCO Discover Service