Nuri Halperin | Duration: 2:19 h | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 263 MB | Language: English

Total tracks: 2 | Size: 342.04 MB | Formats: flac

Free Download: Rocky III (1982) 1080p H265 BluRay Rip ita eng AC3 5.1 sub ita eng Licdom
01:39:35 | @ 3537 kb/s | | ac3, 48000 Hz, 5:1 (ita) | 2.46 GiB

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01:30:23 | @ 2231 kb/s | | aac, 48000 Hz, stereo (eng) | 1.41 GiB

Mark Scott | Duration: 1:56 h | Video: H264 1280x720 | Audio: AAC 44,1 kHz 2ch | 288 MB | Language: English

Total tracks: 41 | Size: 423.19 MB | Formats: mp3

Deeksha Sharma | Duration: 1:08 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 131 MB | Language: English
MongoDB Charts is a fast and convenient way of building powerful visualizations from your MongoDB data. Capability of getting actionable insights from the data using various dimensions is extremely valuable.
MongoDB is considered as a popular choice for applications and services with document based database model. Charts is a service from MongoDB to support creation of various chart types and render MongoDB data. In this course, Visualizing Data with MongoDB Charts, you will learn how to spin up your own MongoDB Atlas cluster and use the cluster data to create charts using sample datasets. First, you will build some intriguing visualizations in MongoDB Atlas using a variety of datasets. Next, you will spin up an AWS cluster and import your custom data into it. Then, you will learn the concepts of encoding channels, filtering, sorting, and binning on data. Finally, you will discover how to embed charts on static sites using unauthenticated, as well as verified signature techniques. After finishing this course, you will be proficient in working with MongoDB charts and can proudly share and embed charts into your applications with ease.

Total tracks: 12 | Size: 95.28 MB | Formats: mp3