Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
WEBRip | English | MP4 | 1280 x 720 | AVC ~150 kbps | 30 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | ~8 hours | 1.25 GB
Genre: eLearning Video
WEBRip | English | MP4 | 1280 x 720 | AVC ~150 kbps | 30 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | ~8 hours | 1.25 GB
Genre: eLearning Video
Elasticsearch 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.What Will I Learn?
Install and configure Elasticsearch 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
Requirements
You need access to a Windows, Mac, or Ubuntu PC with 20GB of free disk space
You should have some familiarity with web services and REST
Some familiarity with Linux will be helpful
Exposure to JSON-formatted data will help
Description
Elasticsearch 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 60 lectures including 8 hours of video.
We'll cover setting up search indices on an Elasticsearch cluster, 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 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 is the target audience?
Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets.
General
Complete name : 44. Analyzing Shakespeare with Kibana.mp4
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Encoded date : UTC 2017-07-08 13:52:27
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Encoded date : UTC 2017-07-08 13:52:27
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Encoded date : UTC 2017-07-08 13:52:27
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Complete name : 44. Analyzing Shakespeare with Kibana.mp4
Format : MPEG-4
Format profile : Base Media / Version 2
Codec ID : mp42 (isom/iso2/avc1/mp41/mp42)
File size : 21.4 MiB
Duration : 8 min 44 s
Overall bit rate : 343 kb/s
Encoded date : UTC 2017-07-08 13:52:27
Tagged date : UTC 2017-07-08 13:52:27
Writing application : Lavf53.32.100
Video
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Codec ID : avc1
Codec ID/Info : Advanced Video Coding
Duration : 8 min 44 s
Bit rate : 150 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) : 0.005
Stream size : 9.39 MiB (44%)
Writing library : x264 core 136
Encoding settings : cabac=1 / ref=4 / deblock=1:0:0 / analyse=0x3:0x113 / me=umh / subme=7 / psy=0 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=0 / chroma_qp_offset=0 / threads=48 / lookahead_threads=5 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=16 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=300 / keyint_min=25 / scenecut=40 / intra_refresh=0 / rc=2pass / mbtree=0 / bitrate=150 / ratetol=1.0 / qcomp=0.60 / qpmin=10 / qpmax=51 / qpstep=4 / cplxblur=20.0 / qblur=0.5 / ip_ratio=1.40 / pb_ratio=1.30 / aq=1:1.00
Language : English
Encoded date : UTC 2017-07-08 13:52:27
Tagged date : UTC 2017-07-08 14:08:06
Audio
ID : 2
Format : AAC
Format/Info : Advanced Audio Codec
Format profile : LC
Codec ID : 40
Duration : 8 min 44 s
Bit rate mode : Constant
Bit rate : 192 kb/s
Channel(s) : 2 channels
Channel positions : Front: L R
Sampling rate : 48.0 kHz
Frame rate : 46.875 FPS (1024 spf)
Compression mode : Lossy
Stream size : 11.9 MiB (55%)
Default : Yes
Alternate group : 1
Encoded date : UTC 2017-07-08 13:52:27
Tagged date : UTC 2017-07-08 14:08:06
Screenshots
Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
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Elasticsearch 5 and Elastic Stack - In Depth and Hands On! (2017)
