Get yourself trained on Complete ElasticSearch with with this Online Training Complete ElasticSearch with LogStash, Hive, Pig, MR & Kibana.
Online Training Complete ElasticSearch with LogStash, Hive, Pig, MR & Kibana
Complete ElasticSearch tutorial for beginners to advanced level professionals.Learn how to use ElasticSearch with Apache Hadoop and build various real world big data applications.This comprehensive course focuses on building real world like data applications to move data from one system to another. A common practice for any data engineer today. No other course can cover so much ground as you will do in this one.In this course you will learn:Section 1 Ingestion Flows (Hadoop to ElasticSearch)In this section of the course, you will learn to move data from various Hadoop applications (such as Hive, Pig, MR) & LogStash into an ElasticSearch index. This is an ideal business use case to prepare data for business analytics. Here are four major topics that will be covered in this section of the course:Learn how to install ApacheHive on your computer. Then read data from a hive table and load it into ElasticSearchLearn how to install Apache PIG on your computer and index data into ElasticSearch using Apache PIGCreate a MapReduce program (Java code) and load data into an ElasticSearch indexLearn how to move data using LogStash into an ElasticSearch indexSection 2 Egression Flows (ElasticSearch to Hadoop)In this section of the course, you will learn to use indexed data from an ElasticSearch cluster and load it back into Hadoop cluster. After data is loaded back into Hadoop, you will learn how to directly import it into Hive, Pig, M/R or LogStash. Here are four major topics that we will cover under this section:Learn how to import an ElasticSearch index directly into ApacheHive tableLearn how to import an ElasticSearch indexed data into Hadoop using Apache PIG scriptsLearn how to import an ElasticSearch indexed data into Hadoop using Java MapReduce programLearn how to import an ElasticSearch indexed data using LogStash applicationSection 3 Data Visualization (Business Intelligence)In part of the course, you will learn how to use indexed data from an ElasticSearch cluster and create dynamic dashboards using Kibana.This will be a very important lesson for Data Analysts and Data Scientists.Section 4 Production Cluster Monitor tool (Administration)No knowledge is complete without learning how to maintain an application in production. In this section of the course, you will learn how to monitor your ElasticSearch cluster using Marvel plugins. Here are few things that you will learn:Cluster Health monitoring at Index, Shard, Node levelsParsing ElasticSearch Cluster statistics using Linux utilitiesSetting up wait-for-trigger mechanism and much moreSection 5 – Searching an ElasticSearch IndexLearn aboutawesome search capabilities offered by ElasticSearchHow to search something from an ElasticSearch index in real time.We will cover lots of basics to build foundation required to understand ElasticSearch. You will also learn about behind the scenes on how a search engine and specifically ElasticSearch worksin a single or multiple node cluster.You will also get step by step instructions for installing all required tools and components on your machine in order to run all examples provided in this course. Each video will explain entire process in detail and easy to understand manner.You will get access to working code for you to play with it and expand on it. All code examples are working and will be demonstrated invideo lessons.Windows users will need to install virtual machine on their PC to setup single nodehadoop cluster. Detailed Instructions are available inside the course.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.