| @metadata | | sourceLanguage | "en" |
|---|
| priorityLanguages | |
|---|
| allowOnlyPriorityLanguages | true |
|---|
|
|---|
| display_name | "Welcome to the Data Engineering Nanodegree Program" |
|---|
| subtitle-80-2399-1 | "we all use smartphones but have you ever" |
|---|
| subtitle-2399-4480-2 | "wondered how much data it generates in" |
|---|
| subtitle-4480-5839-3 | "the form of texts" |
|---|
| subtitle-5839-9120-4 | "phone calls emails photos videos" |
|---|
| subtitle-9120-12000-5 | "searches and music approximately 40" |
|---|
| subtitle-12000-14240-6 | "exabytes of data gets generated every" |
|---|
| subtitle-14240-14880-7 | "month" |
|---|
| subtitle-14880-18160-8 | "by a single smartphone user now imagine" |
|---|
| subtitle-18160-20480-9 | "this number multiplied by 5 billion" |
|---|
| subtitle-20480-21920-10 | "smartphone users" |
|---|
| subtitle-21920-24160-11 | "that's a lot for our mind even process" |
|---|
| subtitle-24160-24960-12 | "isn't it" |
|---|
| subtitle-24960-27199-13 | "in fact this amount of data is quite a" |
|---|
| subtitle-27199-29199-14 | "lot for traditional computing systems to" |
|---|
| subtitle-29199-30000-15 | "handle" |
|---|
| subtitle-30000-32000-16 | "and this massive amount of data is what" |
|---|
| subtitle-32000-33200-17 | "we term as" |
|---|
| subtitle-33200-36079-18 | "big data let's have a look at the data" |
|---|
| subtitle-36079-38559-19 | "generated per minute on the internet" |
|---|
| subtitle-38559-41840-20 | "2.1 million snaps are shared on snapchat" |
|---|
| subtitle-41840-44320-21 | "3.8 million search queries are made on" |
|---|
| subtitle-44320-45039-22 | "google" |
|---|
| subtitle-45039-47680-23 | "one million people log on to facebook" |
|---|
| subtitle-47680-50239-24 | "4.5 million videos are watched on" |
|---|
| subtitle-50239-51399-25 | "youtube" |
|---|
| subtitle-51399-54160-26 | "188 million emails are sent" |
|---|
| subtitle-54160-57039-27 | "that's a lot of data so how do you" |
|---|
| subtitle-57039-58000-28 | "classify any" |
|---|
| subtitle-58000-60559-29 | "data as big data this is possible with" |
|---|
| subtitle-60559-61440-30 | "the concept of" |
|---|
| subtitle-61440-65119-31 | "five v's volume velocity" |
|---|
| subtitle-65119-69040-32 | "variety veracity and value" |
|---|
| subtitle-69040-70880-33 | "let us understand this with an example" |
|---|
| subtitle-70880-72720-34 | "from the health care industry" |
|---|
| subtitle-72720-75040-35 | "hospitals and clinics across the world" |
|---|
| subtitle-75040-76159-36 | "generate massive" |
|---|
| subtitle-76159-79600-37 | "volumes of data 2 314" |
|---|
| subtitle-79600-82080-38 | "exabytes of data are collected annually" |
|---|
| subtitle-82080-84080-39 | "in the form of patient records and test" |
|---|
| subtitle-84080-85040-40 | "results" |
|---|
| subtitle-85040-87119-41 | "all this data is generated at a very" |
|---|
| subtitle-87119-88880-42 | "high speed which attributes to the" |
|---|
| subtitle-88880-91119-43 | "velocity of big data" |
|---|
| subtitle-91119-94000-44 | "variety refers to the various data types" |
|---|
| subtitle-94000-95280-45 | "such as structured" |
|---|
| subtitle-95280-98079-46 | "semi-structured and unstructured data" |
|---|
| subtitle-98079-99200-47 | "examples include" |
|---|
| subtitle-99200-103200-48 | "excel records log files and x-ray images" |
|---|
| subtitle-103200-105119-49 | "accuracy and trustworthiness of the" |
|---|
| subtitle-105119-107119-50 | "generated data is termed as" |
|---|
| subtitle-107119-110000-51 | "veracity analyzing all this data will" |
|---|
| subtitle-110000-112240-52 | "benefit the medical sector by enabling" |
|---|
| subtitle-112240-114320-53 | "faster disease detection" |
|---|
| subtitle-114320-117439-54 | "better treatment and reduced cost" |
|---|
| subtitle-117439-120560-55 | "this is known as the value of big data" |
|---|
| subtitle-120560-123040-56 | "but how do we store and process this big" |
|---|
| subtitle-123040-123840-57 | "data" |
|---|
| subtitle-123840-125680-58 | "to do this job we have various" |
|---|
| subtitle-125680-127680-59 | "frameworks such as cassandra" |
|---|
| subtitle-127680-130800-60 | "hadoop and spark let us take hadoop as" |
|---|
| subtitle-130800-132000-61 | "an example" |
|---|
| subtitle-132000-134560-62 | "and see how hadoop stores and processes" |
|---|
| subtitle-134560-136000-63 | "big data" |
|---|
| subtitle-136000-138720-64 | "hadoop uses a distributed file system" |
|---|
| subtitle-138720-141599-65 | "known as hadoop distributed file system" |
|---|
| subtitle-141599-143920-66 | "to store big data if you have a huge" |
|---|
| subtitle-143920-146080-67 | "file your file will be broken down into" |
|---|
| subtitle-146080-147200-68 | "smaller chunks" |
|---|
| subtitle-147200-149840-69 | "and stored in various machines not only" |
|---|
| subtitle-149840-151519-70 | "that when you break the file" |
|---|
| subtitle-151519-153680-71 | "you also make copies of it which goes" |
|---|
| subtitle-153680-154959-72 | "into different nodes" |
|---|
| subtitle-154959-156879-73 | "this way you store your big data in a" |
|---|
| subtitle-156879-158239-74 | "distributed way" |
|---|
| subtitle-158239-160239-75 | "and make sure that even if one machine" |
|---|
| subtitle-160239-164400-76 | "fails your data is safe on another" |
|---|
| subtitle-164400-166800-77 | "mapreduce technique is used to process" |
|---|
| subtitle-166800-167760-78 | "big data" |
|---|
| subtitle-167760-170560-79 | "a lengthy task a is broken into smaller" |
|---|
| subtitle-170560-171760-80 | "tasks" |
|---|
| subtitle-171760-176239-81 | "b c and d now instead of one machine" |
|---|
| subtitle-176239-178720-82 | "three machines take up each task and" |
|---|
| subtitle-178720-180800-83 | "complete it in a parallel fashion" |
|---|
| subtitle-180800-182879-84 | "and assemble the results at the end" |
|---|
| subtitle-182879-185120-85 | "thanks to this the processing becomes" |
|---|
| subtitle-185120-188159-86 | "easy and fast this is known as parallel" |
|---|
| subtitle-188159-190640-87 | "processing" |
|---|
| subtitle-190640-192400-88 | "now that we have stored and processed" |
|---|
| subtitle-192400-193840-89 | "our big data we can" |
|---|
| subtitle-193840-195519-90 | "analyze this data for numerous" |
|---|
| subtitle-195519-196879-91 | "applications" |
|---|
| subtitle-196879-199920-92 | "in games like halo 3 and call of duty" |
|---|
| subtitle-199920-202480-93 | "designers analyze user data to" |
|---|
| subtitle-202480-204480-94 | "understand at which stage most of the" |
|---|
| subtitle-204480-205760-95 | "users pause" |
|---|
| subtitle-205760-208720-96 | "restart or quit playing this insight can" |
|---|
| subtitle-208720-210560-97 | "help them rework on the story line of" |
|---|
| subtitle-210560-211200-98 | "the game" |
|---|
| subtitle-211200-213840-99 | "and improve the user experience which in" |
|---|
| subtitle-213840-216799-100 | "turn reduces the customer churn rate" |
|---|
| subtitle-216799-219120-101 | "similarly big data also helped with" |
|---|
| subtitle-219120-221120-102 | "disaster management during hurricane" |
|---|
| subtitle-221120-222720-103 | "sandy in 2012" |
|---|
| subtitle-222720-224000-104 | "it was used to gain a better" |
|---|
| subtitle-224000-225920-105 | "understanding of the storm's effect on" |
|---|
| subtitle-225920-227680-106 | "the east coast of the u.s" |
|---|
| subtitle-227680-230000-107 | "and necessary measures were taken it" |
|---|
| subtitle-230000-231920-108 | "could predict the hurricane's landfall" |
|---|
| subtitle-231920-233200-109 | "five days in advance" |
|---|
| subtitle-233200-235680-110 | "which wasn't possible earlier these are" |
|---|
| subtitle-235680-237599-111 | "some of the clear indications of how" |
|---|
| subtitle-237599-239360-112 | "valuable big data can be" |
|---|
| subtitle-239360-241519-113 | "once it is accurately processed and" |
|---|
| subtitle-241519-242799-114 | "analyzed" |
|---|
| subtitle-242799-244879-115 | "so here's a question for you which of" |
|---|
| subtitle-244879-246799-116 | "the following statements is not correct" |
|---|
| subtitle-246799-248959-117 | "about hadoop distributed file system" |
|---|
| subtitle-248959-252319-118 | "hdfs a hdfs" |
|---|
| subtitle-252319-255599-119 | "is the storage layer of hadoop b data" |
|---|
| subtitle-255599-257759-120 | "gets stored in a distributed manner in" |
|---|
| subtitle-257759-259440-121 | "hdfs" |
|---|
| subtitle-259440-262800-122 | "c hdfs performs parallel processing of" |
|---|
| subtitle-262800-264000-123 | "data" |
|---|
| subtitle-264000-266720-124 | "d smaller chunks of data are stored on" |
|---|
| subtitle-266720-268080-125 | "multiple data nodes in" |
|---|
| subtitle-268080-270880-126 | "hdfs give it a thought and leave your" |
|---|
| subtitle-270880-272960-127 | "answers in the comment section below" |
|---|
| subtitle-272960-275280-128 | "three lucky winners will receive amazon" |
|---|
| subtitle-275280-276560-129 | "gift vouchers" |
|---|
| subtitle-276560-278240-130 | "now that you have learned what big data" |
|---|
| subtitle-278240-280080-131 | "is what do you think will be the most" |
|---|
| subtitle-280080-280880-132 | "significant" |
|---|
| subtitle-280880-283360-133 | "impact of big data in the future let us" |
|---|
| subtitle-283360-285040-134 | "know in the comments below" |
|---|
| subtitle-285040-287040-135 | "if you enjoyed this video it would only" |
|---|
| subtitle-287040-289759-136 | "take a few seconds to like and share it" |
|---|
| subtitle-289759-291759-137 | "also to subscribe to our channel if you" |
|---|
| subtitle-291759-294080-138 | "haven't yet and hit the bell icon to get" |
|---|
| subtitle-294080-295759-139 | "instant notifications about our new" |
|---|
| subtitle-295759-296720-140 | "content" |
|---|
| subtitle-296720-311520-141 | "stay tuned and keep learning" |
|---|
| subtitle-311520-313600-142 | "you" |
|---|