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Data Science and Big Data Analytics are closely related but serve different purposes. Data Science is focused on extracting insights from data using machine learning and AI, while Big Data Analytics deals with analyzing massive datasets to uncover trends and patterns. Together, they help organizations make data-driven decisions, optimize processes, and gain a competitive edge.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
Table of Contents Understanding Big Data: How It\u2019s Shaping the Future of AnalyticsIntroduction To Data ScientistRoles and responsibilitiesSkillsetsApplications of Data Science:Introduction to Big DataCharacteristics of Big Data:Other Important Characteristics of Big Data:Sources of Big Data: Understanding Big Data: How It\u2019s Shaping the Future of Analytics Introduction To Data Scientist Big Data science is an umbrella […]<\/p>\n","protected":false},"author":12,"featured_media":11005,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[440,444,442],"tags":[1114,1115,540,1130,739],"class_list":["post-11004","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-devops","category-latest","tag-big-data","tag-big-data-analytics","tag-data-science","tag-data-scientist","tag-machine-learning"],"aioseo_notices":[],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts\/11004","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/comments?post=11004"}],"version-history":[{"count":3,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts\/11004\/revisions"}],"predecessor-version":[{"id":11009,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts\/11004\/revisions\/11009"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/media\/11005"}],"wp:attachment":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/media?parent=11004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/categories?post=11004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/tags?post=11004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

Aspect<\/strong><\/td>\n	Data Science<\/strong><\/td>\n	Big Data Analytics<\/strong><\/td>\n<\/tr>\n<\/thead>\n
Focus<\/strong><\/td>\n	Extracting insights from data, building models<\/td>\n	Analyzing large data sets for trends and insights<\/td>\n<\/tr>\n
Techniques Used<\/strong><\/td>\n	Machine learning, AI, statistical analysis<\/td>\n	Hadoop, Spark, NoSQL databases<\/td>\n<\/tr>\n
Data Type<\/strong><\/td>\n	Structured and unstructured data<\/td>\n	Primarily unstructured, large-scale data<\/td>\n<\/tr>\n
Objective<\/strong><\/td>\n	Predicting outcomes, solving complex problems<\/td>\n	Handling, analyzing, and processing large data<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n Conclusion:<\/strong><\/p>\n \n \n \n \n Data Science and Big Data Analytics are closely related but serve different purposes. Data Science is focused on extracting insights from data using machine learning and AI, while Big Data Analytics deals with analyzing massive datasets to uncover trends and patterns. Together, they help organizations make data-driven decisions, optimize processes, and gain a competitive edge.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":" Table of Contents Understanding Big Data: How It\u2019s Shaping the Future of AnalyticsIntroduction To Data ScientistRoles and responsibilitiesSkillsetsApplications of Data Science:Introduction to Big DataCharacteristics of Big Data:Other Important Characteristics of Big Data:Sources of Big Data: Understanding Big Data: How It\u2019s Shaping the Future of Analytics Introduction To Data Scientist Big Data science is an umbrella […]<\/p>\n","protected":false},"author":12,"featured_media":11005,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[440,444,442],"tags":[1114,1115,540,1130,739],"class_list":["post-11004","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-devops","category-latest","tag-big-data","tag-big-data-analytics","tag-data-science","tag-data-scientist","tag-machine-learning"],"aioseo_notices":[],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts\/11004","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/comments?post=11004"}],"version-history":[{"count":3,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts\/11004\/revisions"}],"predecessor-version":[{"id":11009,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/posts\/11004\/revisions\/11009"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/media\/11005"}],"wp:attachment":[{"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/media?parent=11004"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/categories?post=11004"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devopscurry.com\/wp-json\/wp\/v2\/tags?post=11004"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}

<\/span>Roles and responsibilities<\/strong><\/span><\/h2>\n\nBuilding predictive models using AI and machine learning algorithms<\/li>\nHelping businesses make strategic decisions based on predicted trends<\/li>\nPerforming experiments by A\/B testing<\/em><\/li>\n

<\/span>Skillsets<\/strong><\/span><\/h2>\n\nData analytics<\/li>\nProgramming languages like Python, R, SQL, SAS, etc.<\/li>\n

<\/h2>\n

<\/span>Applications of Data Science:<\/strong><\/span><\/h2>\n\nHealthcare: Predicting diseases and improving treatments.<\/li>\nE-commerce: Recommending products to customers based on their past behavior.<\/li>\nFinance: Fraud detection and risk management.<\/li>\n

$\"Big$ <\/h2>\n
Image Credit:\u00a0 https:\/\/clevertap.com\/blog\/data-science\/<\/a><\/span><\/p>\n