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Udemy Elasticsearch 7 and the Elastic Stack In Depth & Hands On! (2019) - aretr - 11-03-2019 Udemy - Elasticsearch 7 and the Elastic Stack - In Depth & Hands On! (2019) WEBRip | English | MP4 | 1280 x 720 | AVC ~707 Kbps | 30 fps AAC | 128 Kbps | 44.1 KHz | 2 channels | ~8.5 hours | 3.26 GB Genre: Video Tutorial / Programming Search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more. New for 2019! Elasticsearch 7 is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It's an increasingly popular technology, and a valuable skill to have in today's job market. This comprehensive course covers it all, from installation to operations, with over 90 lectures including 8 hours of video. We'll cover setting up search indices on an Elasticsearch 7 cluster (if you need Elasticsearch 5 or 6 - we have other courses on that), and querying that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting - you name it. And it's not just theory, every lesson has hands-on examples where you'll practice each skill using a virtual machine running Elasticsearch on your own PC. We'll explore what's new in Elasticsearch 7 - including index lifecycle management, the deprecation of types and type mappings, and a hands-on activity with Elasticsearch SQL. We've also added much more depth on managing security with the Elastic Stack, and how backpressure works with Beats. We cover, in depth, the often-overlooked problem of importing data into an Elasticsearch index. Whether it's via raw RESTful queries, scripts using Elasticsearch API's, or integration with other "big data" systems like Spark and Kafka - you'll see many ways to get Elasticsearch started from large, existing data sets at scale. We'll also stream data into Elasticsearch using Logstash and Filebeat - commonly referred to as the "ELK Stack" (Elasticsearch / Logstash / Kibana) or the "Elastic Stack". Elasticsearch isn't just for search anymore - it has powerful aggregation capabilities for structured data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI, Kibana. You'll learn how to manage operations on your Elastic Stack, using X-Pack to monitor your cluster's health, and how to perform operational tasks like scaling up your cluster, and doing rolling restarts. We'll also spin up Elasticsearch clusters in the cloud using Amazon Elasticsearch Service and the Elastic Cloud. Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It's an important tool to understand, and it's easy to use! Dive in with me and I'll show you what it's all about. Who this course is for: Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets. What you'll learn Install and configure Elasticsearch 7 on a cluster Create search indices and mappings Search full-text and structured data in several different ways Import data into Elasticsearch using several different techniques Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more Aggregate structured data using buckets and metrics Use Logstash and the "ELK stack" to import streaming log data into Elasticsearch Use Filebeats and the Elastic Stack to import streaming data at scale Analyze and visualize data in Elasticsearch using Kibana Manage operations on production Elasticsearch clusters Use cloud-based solutions including Amazon's Elasticsearch Service and Elastic Cloud General Complete name : 7. Sorting.mp4 Format : MPEG-4 Format profile : Base Media Codec ID : isom (isom/iso2/avc1/mp41) File size : 47.7 MiB Duration : 7 min 54 s Overall bit rate : 842 kb/s Writing application : Lavf58.12.100 Video ID : 1 Format : AVC Format/Info : Advanced Video Codec Format profile : [email protected] Format settings : CABAC / 4 Ref Frames Format settings, CABAC : Yes Format settings, RefFrames : 4 frames Codec ID : avc1 Codec ID/Info : Advanced Video Coding Duration : 7 min 54 s Bit rate : 706 kb/s Nominal bit rate : 3 000 kb/s Width : 1 280 pixels Height : 720 pixels Display aspect ratio : 16:9 Frame rate mode : Constant Frame rate : 30.000 FPS Color space : YUV Chroma subsampling : 4:2:0 Bit depth : 8 bits Scan type : Progressive Bits/(Pixel*Frame) : 0.026 Stream size : 39.9 MiB (84%) Writing library : x264 core 148 Encoding settings : cabac=1 / ref=3 / deblock=1:-1:-1 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.15 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-3 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=3000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=3000 / vbv_bufsize=6000 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00 Audio ID : 2 Format : AAC Format/Info : Advanced Audio Codec Format profile : LC Codec ID : mp4a-40-2 Duration : 7 min 54 s Bit rate mode : Constant Bit rate : 128 kb/s Channel(s) : 2 channels Channel positions : Front: L R Sampling rate : 44.1 kHz Frame rate : 43.066 FPS (1024 SPF) Compression mode : Lossy Stream size : 7.25 MiB (15%) Default : Yes Alternate group : 1 Screenshots DOWNLOAD Code: http://nitroflare.com/view/90929B05FCA953D/c6h4q.Udemy..Elasticsearch.7.and.the.Elastic.Stack..In.Depth..Hands.On.2019.part01.rar Code: https://rapidgator.net/file/de6848ccc3370e49561f15a211c48113/c6h4q.Udemy..Elasticsearch.7.and.the.Elastic.Stack..In.Depth..Hands.On.2019.part01.rar |