How do you select datastores and be aware of their limitations when applied to the problem at hand? Are there misconceptions you wish someone had cleared for you as you started on your journey of scaling with datastores?
Choosing data stores for your use cases conference will help you understand:
- Running datastores at scale - and tuning, debugging and operations.
- Solving specific use cases with a certain datastore.
- Data modelling and developer experience with datastore.
Senior infrastructure and software engineers from Farfetch, Aerospike, Zeotap, eightfold.ai, LinkedIn and Tesco engineering will share war stories and their learnings with practitioners in the audience.
View schedule at https://hasgeek.com/rootconf/choosing-datastores/schedule
Contact information: Join the Rootconf Telegram group at https://t.me/rootconf or follow @rootconf on Twitter.
For inquiries, contact Rootconf at rootconf.editorial@hasgeek.com or call 7676332020.
Accepting submissions till 15 Aug 2021, 11:59 PM
Not accepting submissions
We are accepting experiential talks and written content on:
- Hidden criteria of database selection such as operations or impact on other teams within an organization such as data platform teams.
- Data modelling and developer experience with datastore.
- Running datastores at scale - the true meaning of tuning, debugging and operations.
- Solving specific use cases with a certain datastore.
- DatastoreOps workflows.
- Use of datastore in novel ways to solve for legal regulations.
Content can be submitted in the form of:
- 15 minute talks
- 30 minute talks
- 1,000 word written articles
Submissions will be peer-reviewed by the editor Yagnik Khanna.
Make a submission
Accepting submissions till 15 Aug 2021, 11:59 PM
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YR
Yago Riveiro Databases @ Scale - What I Wish Someone Had Told MeDatabases are the core of many systems, the task of choosing the right one is a journey. If we talk of doing it at scale could be an endeavour. more
Category: 15 min talk
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SP
Sri Varun Poluri Behind the scenes of Aerospike’s Cross Datacenter Replication (XDR)Aerospike’s Cross data center replication (XDR) is the module responsible for shipping data across multiple datacenters, typically across geographical locations. Distributed systems come with many unique challenges and XDR is equipped to handle them. more
Category: 30 min talk
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KB
Karan Bajaj A hybrid MySQL data model with Horizontal Sharding and a Gobal data platformA very popular interview question revolves around choosing MySQL vs NoSQL datastores. This decision is much more relevant for early startups as their choice determines potential data scalability and performance bottlenecks in the future. A smart decision at this point can save painstaking effort to redesign and mass-migrate data later. more
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Ajay Sinha Evaluating Databases for highly scalable transactional financial systems with ACID ComplianceBuilding highly scalable transactional stores for financial systems requires SQL compliant databases which are distributed in nature. Traditional RDBMS systems are difficult to scale without compromising maintainability. noSql solutions scales well but lacks ACID guarantees. a In this session we will go through different databases we evaluated along with their functionalities and tradeoffs. more
Category: 30 min talk
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KS
Kalyanasundaram Somasundaram Online Data Stores at LinkedIn and their EvolutionAbstract “In its early days, the LinkedIn data ecosystem was quite simple. A single RDBMS contained a handful of tables for user data such as profiles, connections, etc. This RDBMS was augmented with two specialized systems: one provided full text search of the corpus of user profile data, the other provided efficient traversal of the relationship graph. These latter two systems were kept up-to-d… more
Category: 30 min talk
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GC
George CJ Continuous Deployment for MySQL DatabaseTopic Managing schema and data management across multiple environments for MySQL can become tedious and error prone as a system scales. Currently Capillary Technologies operates in multiple environments across multiple products with around 125 Mysql Servers, 2500+ tables and 300TB+ data. In this talk, we will present the tools and processes we use to maintain consistency across our database deplo… more
Category: 30 min talk
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AP
Apoorv Purohit Managed MySQL Experience At LinkedInMySQL is used as a primary data store by a majority of internal tools at LinkedIn. We host over 2000 databases of different use-cases. To support our clients better, we have developed a few tools around MySQL. In this talk we will discuss how our tools improved the developer experience while using MySQL. We will talk about how a database is requested and provisioned by the clients and how they ge… more
Category: 30 min talk
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Chinmay Naik Using GitHub gh-ost to run Zero downtime online schema migrations in MySQLWhat the talk is about Did you ever have to run an alter table on a production MySQL table containing 100M+ rows? If yes, then you have experienced the problem. MySQL Online schema migration for tables with millions of rows is hard. more
Category: 30 min talk
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NJ
Nipun Jain Apache Druid - reliable real-time analytics at scale and much moreDruid arguably picks design decisions from Timeseries DBs, Datawarehouses and Search systems. In this talk we show why that is so and delve upon use cases that best fit for druid and more importantly when not to choose it. Druid has been the production workhorse for the past 3+ years at Zeotap powering the core Audience planning across our products. Beyond the traditional interactive analytics us… more
Category: 30 min talk
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Sai Geetha M N A Big Data Store – Performance optimised for writes, reads or both?At Tesco, the 3rd largest retailer in the world, data is huge and so is the urgency in getting the latest data for use in operations and decision making. more
Category: 30 min talk
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Ranjan Sakalley Data Store ClinicThis is an interactive session where I will run a clinic to answer your questions about: more
Category: Interactive activity with participants
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Moiz Arsiwala Gotchas! You Created A Many To Many Relationship Without TimestampWhen we started WorkIndia we just thought of shipping features out nothing else We took decisions around data modelling making our system very configurable and apply generalisation principles for root models and specialisation for leaf models. Now, after 4 years down the line when we created our data lake based on Debezium based Sync Source connectors we faced challenges due to ORM modelling not … more
Category: 15 min talk
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Shantanu Identity resolution at Billions scale @ZeotapZeotap maintains an identity asset of around 50 Billion IDs which enables the ID resolution and Audience Matching use cases for AdTech & MarTech industry. In this presentation, we will look at the journey of zeotap’s Identity store over the years, how it got evolved from a naive KV implementation to a Hybrid KV + Graph store, the data access patterns used for solving the business needs and the un… more
Category: 30 min talk
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Ankit Gupta Efficient and Reliable Ticket Routing Platform@Uber ScaleRouting, a key function of Uber’s Customer Obsession platform, is a distributed, high-scale, low-latency platform that acts as the “brain” connecting a customer to the best suited human to address their concerns in the fastest and most effective way - at Uber scale. Router’s journey from using MySQL as a single data store to now a hybrid model (Redis, Elastic Search, MySQL, DocStore - internal No… more
Category: 15 min talk
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Aparna Vaikuntam Powering EMI Financing in ZestMoney with CQRSCreating, editing, deleting and querying data related to merchant partners of ZestMoney and what EMI Financing options to allow for them was a major problem we solved at Zest. While doing a deeper analysis of the problem, we realised that business data entry and querying systems usually have different functional and non-functional requirements. The data creation and related updates are done by bu… more
Category: 30 min talk
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