Data Management with Elastic (PART 3)

Oct 27, 2021 · Delhi, India

THIS IS A FREE EVENT - PLEASE FINISH YOUR RSVP IN THE LINK BELOW

<br/>https://community.elastic.co/events/details/elastic-delhi-presents-data-management-with-elastic-part-3/

&lt;p&gt;&lt;b&gt;&lt;i&gt;Hello, Elastic Fantastics!&lt;/i&gt;&lt;/b&gt;&lt;/p&gt;&lt;p&gt;Time series data tends to grow over time. And while it might be easier to store and manage this data via a single index, it’s often more efficient and cost-effective to store large volumes of time series data across multiple, time-based indices. Multiple indices enable you to move indices containing older, less frequently queried data to less expensive hardware and delete indices when they’re no longer needed, reducing overhead and storage costs.&lt;/p&gt;&lt;p&gt;If you’re collecting a terabyte of data per day, for example, that’s seven terabytes a week. Kept over several years, this easily grows to petabytes of data. Users need a way to manage this exponential storage growth and have the capability to search for everything. Learn how to meet these goals with the help of Elastic.&lt;/p&gt;&lt;p&gt;&lt;b&gt;• Part 1: Index Lifecycle Management (ILM) - [13th October 2021]&lt;/b&gt;&lt;/p&gt;&lt;p&gt;ILM automates how you want to manage your indices over time. You control how indices are handled as they age by attaching a lifecycle policy to the index template used to create them. You can update the policy to modify the lifecycle of both new and existing indices.&lt;/p&gt;&lt;p&gt;&lt;b&gt;• Part 2: Data streams - [20th October 2021]&lt;/b&gt;&lt;/p&gt;&lt;p&gt;Data streams abstract away — and simplify — some of the complexity that comes with having to manage numerous time-series indices, making features like index lifecycle management (ILM) a breeze to configure and simple to maintain.&lt;/p&gt;&lt;p&gt;&lt;b&gt;• Part 3: Searchable snapshots- [27th October 2021]&lt;/b&gt;&lt;/p&gt;&lt;p&gt;Searchable Snapshots allow us to keep low-cost object stores from AWS, Google, Azure, and other object stores always online and available, by making your snapshots directly searchable by Elasticsearch.&lt;/p&gt;</p>

Agenda<br/>

<br/>

<br/>---<br/>

<br/>
Speaker<br/>

Muhammad Sarwar - Elastic (Education Architect)<br/>

Muhammad is an Elastic Certified Instructor, with an experience of over 16 years as a Senior Software engineer, Architect and Engineering lead.&nbsp;<br/>

<br/>

<br/>
Hosts<br/>

Aravind Putrevu - Elastic (Developer Advocate)<br/>

Aravind works at Elastic as a Developer Advocate and looks after Developer Relations function in India. He has experience working in Cloud Security and Financial Domains. He has interest in Search and Analytics, Security, IoT and Machine Learning. In his free time, he plays around with a RasPi or Arduino :)<br></p><br/>

<br/>

Kawnish Panse - Elastic (Community Programs Associate)<br/>

<br/>

<br/>---<br/>

<br/>

THIS IS A FREE EVENT - PLEASE FINISH YOUR RSVP IN THE LINK BELOW

<br/>https://community.elastic.co/events/details/elastic-delhi-presents-data-management-with-elastic-part-3/

Event organizers
  • Elasticsearch Explorers

    Who should join? This group is for anyone who want to learn, help others learn, share their experiences on Elasticsearch.   Why one should join? Elasticsearch is one of the fastest products that offers seamless search solution for large and small applications alike.  It can scale very well with little to no configuration for most scenarios.  The interest on the product has grown in the past few years and more and more organizations are adopting it for their search solutions.   This meetup is aimed at offer

    Recent Events
    More

Are you organizing Data Management with Elastic (PART 3)?

Claim the event and start manage its content.

I am the organizer
Social
Topics
Rating

based on 0 reviews