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THE RISE OF HTAP


VIRTUAL HTAP SUMMIT 2022

December 8, 2022 - March 31, 2023

Organized by
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Max Liu

Founder & CEO | PingCAP

Matei Zaharia

Co-founder & Chief Technologist丨Databricks

Noel Yuhanna

VP, Principal Analyst丨Forrester

Tim Tully

Partner | Menlo Ventures

Srinivas Kesanapally

Sr Manager, Partner Solution Architects for Data and Analytics and DevOps | AWS

Ankita Girish Wagh

Senior Software Engineer | Pinterest

Browse All Speakers
What is the Virtual HTAP Summit?

The past few years have witnessed the rise of data-intensive industries. They
are calling for a scalable, real-time, simple, and affordable data processing
approach. Hybrid Transactional/Analytical Processing (HTAP) is the perfect fit.
And that’s what brought the great minds from AWS, Databricks, Block, Pinterest,
StarTree, Arcion, and Forrester, together at HTAP Summit 2022, in California, on
November 1, 2022.

Our Virtual HTAP Summit brings all the inspiring speeches together with
virtual-exclusive sessions, including speakers from Bolt, StreamNative, NFTScan
and U-NEXT. We will also host monthly webinars for Live Q&A and share the latest
HTAP progress around the globe.

Highlights of HTAP Summit 2022
Who Should Attend?

Anyone who wants to get inspired and is interested in learning from industry
leaders about rising database technologies, HTAP databases use cases, and how
enterprise leaders are handling their data challenges.

This summit is especially useful if you are a technology leader in a
data-intensive industry, such as Fintech, SaaS, Web3, or e-commerce. We
guarantee this is what you've been looking for. Don't miss out.

The Opening of Virtual HTAP Summit

The database industry is evolving rapidly. But what kind of database do
developers really want? What are the problems with legacy solutions? What should
the future of databases look like? Join Ed Huang, CTO and Co-founder of PingCAP,
and our special guest speaker Ashwin Karuhatty, Cloud Database Partnerships at
Google, as they kick off the Virtual HTAP Summit 2022 with the talk "The Future
of Database". They'll offer their answers to these questions, discuss use cases,
and more.

Watch Now

Featured Talks

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KEYNOTE & PANEL



What are the most challenging issues regarding data today? The huge increase in
the volume and variety of data, and the customer’s call for immediate insights
into fresh data. The whole world is moving to data with scalability and insights
in real-time. With all that happening together, how should you design an
effective data processing architecture? Can we combine transactional and
analytical workloads? How can we make this work in the real world? Or is this
even possible? Max Liu, the Founder and CEO of PingCAP hits the nail right on
the head in his session.

Watch Now

In this talk, Matei, the co-founder of Databricks explains how the analytics
stack is moving to real-time. He also introduces the lakehouse system and
streaming in a real-world enterprise, and discusses in detail how they power
their control plane with a powerful HTAP database: TiDB.

Watch Now

Tim Tully, a partner of Menlo Ventures, hosts an inspiration panel featuring
PingCAP CTO Ed Huang and technology leaders of AWS, StarTree and Catalyst. They
discuss industry trends, rising technology, and why it is high time to
consolidate OLTP and OLAP. Enjoy.

Watch Now

TRACK 1: HTAP IN THE REAL WORLD

Users share stories of building robust transaction processing and analytical
capability in the real-time HTAP environment, to support efficient business
growth.

Data analytics is a crucial factor in business success. However, most companies,
due to a lack of data management capability, analyze less than 25% of their
data. How can we better utilize data to enable more innovations and generate
bigger values? Noel Yuhanna, Vice President, Principal Analyst from Forrester
Research presents five key areas where data management will innovate in the
coming years. Check out this speech to find out more.

Watch Now

Square Message is the messaging hub that aims to unify buyer-seller
communication across the Block’s ecosystem. As their data volume quickly grew,
the original data stack couldn’t scale, query latency increased, and schema
migrations were shaky. After researching alternatives, they chose TiDB and
thought it was an ergonomic alternative to sharded MySQL. In their session,
Software Engineer Henry Qin and his team discuss why they went with TiDB, their
experience with it, and what they’ve learned.

Watch Now

As the leading visual discovery engine for over 430 million MAU, Pinterest
handled more than 1.3 million QPS. HBase, their critical storage backend could
not serve their growing needs. They evaluated more than 10 storage backends,
they replaced HBase with TiDB. What made TiDB the best candidate? What were the
key wins after deploying TiDB? For more details, check out this speech given by
Ankita Wagh, Senior Software Engineer at Pinterest.

Watch Now

Catalyst is a customer success platform that helps unify customer data and
provides actionable data insights that drive retention and growth. These tasks
are not easy, considering the challenges of multiple data sources, query
latencies, and workload varieties. After a 9 day “hackhouse”, Catalyst decided
to re-architect their data stack with TiDB, an HTAP solution, as their data
serving layer. Andy Trimble, Principal Engineer at Catalyst has a great HTAP
story to tell, with tips and insights from their journey.

Watch Now

Niantic is an American gaming company best known for developing the augmented
reality mobile game. One of their games, Pokémon Go, has over 147 million
monthly active users in its peak time. A game this large needs a database that
is elastically scalable and that can quickly respond to highly concurrent
queries. In his session, Xingkai Wang, Staff Software Engineer at Ninantic, will
introduce WStore, a database service built upon TiKV, an open source distributed
KV storage. WStore provides uninterrupted gaming to users around the world.

Watch Now

Flipkart is India’s largest e-commerce company with 400 M+ registered users and
10 M+ daily page visits. As their business grew, their original data stack
couldn’t support the high data volumes and throughput. Flipkart searched for a
distributed SQL solution with scalability, reliability, and efficiency. TiDB
emerged as the best fit. In his session, Kaustav Chakravorty, Senior Architect
from Flipkart will discuss TiDB and the benefits it has brought to his company.

Watch Now

Web3 is one of the most important trends in recent years. It’s booming; data
volume is increasing and many types of Web3 applications are trying to monetize
that data. None of this is easy. How can we overcome those challenges? One
answer is HTAP. Watch this speech given by Thomas Yu, Co-Founder of KNN3
Network, and learn how TiDB, an open source HTAP database, fixes their pain
points and supercharges their Web3 business.

Watch Now

The booming Non-fungible token (NFT) market has generated a massive volume of
NFT that’s distributed across various blockchains. How can you collect and
analyze that multi-chain data for useful insights? How do you choose the right
database to store such massive data and support data analytics? Check out this
speech by Cathy Ray, Marketing Manager at NFTScan, to learn how NFTScan handles
terabytes of NFT data and how they chose their databases.

Watch Now

Bolt is a global logistics leader that serves over 100 million customers in more
than 45 countries and regions. As their business grew rapidly, their MySQL
database could no longer store, manage, and analyze the massive amount of data.
This drove them to replace MySQL with TiDB. But why TiDB? How does TiDB fix
their pain points? Watch this video to learn more about how Bolt replaced their
database and see if you have similar headaches.

Watch Now

U-Next is a video on demand (VOD) streaming platform similar to Netflix or
Amazon Prime Video. U-Next tops the market in content volume, and is in the top
3 in market share. This are facing several challenges including large data
volume and no downtime for maintenance. In this video, you’ll see how they found
the right solution to overcome their performance and availability issues, and
how they received sustained community and enterprise support.

Watch Now

TRACK 2: THE BEAUTY OF HTAP

Engineering stories of designing and implementing HTAP platforms.

HTAP systems are in high demand: they offer less complexity, fresher data, and
more consistent views. Then, what kind of HTAP systems are in the market? What’s
the challenge of building an HTAP system? What is critical for HTAP systems? In
his session, Mattias Jonsson, Senior Database Engineer from PingCAP, provides
his insights on the state of the art for HTAP systems.

Watch Now

Apache Pinot is an open-source distributed OLAP database that provides real-time
analytics. It is suited in contexts where fast analytics, such as aggregations,
are needed on immutable data, possibly, with real-time data ingestion. What
makes Pinot so fast? In his session, Mayank Shrivastava, Founding Engineer of
StarTree, will walk you through the internal architecture and features of Pinot
with use cases.

Watch Now

Modern systems and businesses typically require real-time decision making on
transactional data, which calls for unifying transactions and analytics in the
same platform. Traditional databases aren’t up to the task. Rajkumar Sen,
Founder & CTO of Arcion believes that cloud-native distributed HTAP databases
are the future. He will share Arcion’s solution, a cloud-native change data
control (CDC) platform, which functions as a data bridge between legacy systems
and modern ones.

Watch Now

HTAP is great, but do users really need it? Can it replace OLAP databases or
OLTP databases? Not necessarily. Transactional and analytical workloads are
processed separately for good reasons. In his session, Robert Hodges, CEO of
Altinity, will share the criteria for using an HTAP database, and the ways to
integrate OLTP and OLAP for your workloads.

Watch Now

As a modernized architecture, HTAP takes many forms. In their session, BP Yao,
Senior Product Manager at AWS, and Rahul Chaturvedi, Senior Analytics Specialist
at AWS will share how Amazon Redshift, the cloud data warehouse, fits in the
HTAP architecture with real-life use cases.

Watch Now

As an emerging technology, HTAP provides both transactional processing and
analytical processing in the same database without mutual interference. And it
allows real-time insights into operational data. It sounds all fancy, but how
good is an HTAP system? Sam Dillard, Principal Product Manager from PingCAP will
introduce HATtrick, a benchmark tool specifically designed for HTAP systems by
UW-Madison, with TiDB as a sample test case. In the second part of the talk, Kan
Wu from UW-Madison will provide an overview of the ongoing work that UW-Madison
and PingCAP are working together on automatic cache tuning for HTAP systems.

Watch Now

TRACK 3: HTAP WITH THE ECOSYSTEM

Tying HTAP to the data ecosystem - integrations, security, client, APIs, etc.

What does AWS think of HTAP? Why do they believe that HTAP will be the trend in
the following years? What scenarios does HTAP database fit the most? Watch this
speech given by Srinivas Kesanapally and Sri Raghavan from AWS, and learn
industry leaders' views about HTAP.

Watch Now

What fueled the data explosion? How to cope with such a big size of data? Why is
the HTAP system the future? Check out this fascinating talk given by Tim Tully,
Partner at Menlo Ventures, and look back at the evolution of data systems from
their "Big Bang" moment along a fantastic journey towards the adoption of the
HTAP system.

Watch Now

Vercel is a powerful frontend platform that makes it easier to develop
applications. TiDB Cloud is a fully-managed service of TiDB that's available on
both AWS and Google Cloud Platform (GCP). The integration of Vercel and TiDB
Cloud makes it much easier and faster for frontend teams to build their web
applications and frees them from time-consuming configuration tasks. Check out
this video to learn how you can leverage this integration to accelerate your app
development process.

Watch Now

ProxySQL is an open-source, high-performance proxy for MySQL protocol. It helps
you build, support, and improve the performance and reliability of both
cloud-native MySQL infrastructures such as TiDB. By integrating ProxySQL with
your TiDB clusters, your TiDB using experience can be greatly enhanced. What
ProxySQL features are particularly useful for your TiDB clusters? How does
ProxySQL integrate with TiDB? To learn more, check out this speech given by René
Cannaò, the CEO of ProxySQL.

Watch Now

Social networks such as Facebook, TikTok, and Twitter generate massive data
every second. This data is stored in large-scale, geo-distributed storage
systems. TAOBench is a useful benchmark tool that can reproduce large-scale
production workloads of those social networks. It can also help you research the
underlying storage architectures of those large-scale social applications and
evaluate and benchmark their storage alternatives. Wonder how different
databases perform under TaoBench evaluation? What else can TAOBench do? To learn
more, check out this speech given by Audrey Cheng, a PhD student at UC Berkeley
and one of the main contributors to TAOBench.

Watch Now

Today, applications need instant access to all data from sensors to logs and
events. This data needs to be stored, accessed, and joined with live
transactional data. We can no longer wait until data has arrived in various
systems to analyze it; we need real-time analytics. In his session, Timothy
Spann, Developer Advocate from StreamNative, will share how they enable
real-time analytics, ingest, and egress of HTAP data at scale through FLiP
Stack, a combination of Apache Pulsar and Apache Flink.

Watch Now
Speakers
Andy Trimble
Principal Engineer丨Catalyst
Andy Trimble
Principal Engineer丨Catalyst
With over 20 years of experience, Andy is a cloud-architecture and big data
enthusiast. With a focus on scalable, coherent, and correct architectures, Andy
has worked across several industries ranging from the smallest startups to large
enterprise companies.
Ankita Girish Wagh
Senior Software Engineer丨Pinterest
Ankita Girish Wagh
Senior Software Engineer丨Pinterest
At Pinterest, Ankita’s work focuses on TiDB migration, Ixia (a secondary
indexing service built on HBase), and the caching infrastructure. Before
Pinterest, she was a Software Engineer in Compute Platform at Uber.
Audrey Cheng
PhD Student丨UC Berkeley
Audrey Cheng
PhD Student丨UC Berkeley
Research focuses on transaction processing for database systems, especially at
large scale.
Birong Huang
Principal Engineer | U-NEXT
Birong Huang
Principal Engineer | U-NEXT
Principal Engineer in R&D department
Boris Savelev
SRE Manager | Bolt
Boris Savelev
SRE Manager | Bolt
Focused on building and operating reliable systems, scalable and resilient,
including databases. Last 10 years he has run different heavily loaded databases
including MongoDB, PostgreSQL, MySQL, TiDB.
BP Yau
Senior Product Manager丨AWS
BP Yau
Senior Product Manager丨AWS
Passionate about helping customers architect big data solutions to process data
at scale. Before AWS, he helped Amazon.com Supply Chain Optimization
Technologies migrate its Oracle data warehouse to Amazon Redshift and build its
next generation big data analytics platform using AWS technologies.
Brian Walters
Head of Presales丨PingCAP
Brian Walters
Head of Presales丨PingCAP
20+ years of experience in database as Solutions Architect, Product Manager and
Pre-Sales Engineer.
Cathy Ray
Marketing Manager | NFTScan
Cathy Ray
Marketing Manager | NFTScan
Cathy is responsible for marketing in NFTScan. The major content of her work
focuses on business of NFT API Service and NFT Explorer.
Ed Huang
Co-founder & CTO丨PingCAP
Ed Huang
Co-founder & CTO丨PingCAP
Distributed system expert, rocker, co-author of Codis, TiDB and TiKV.
Henry Qin
Staff Software Engineer丨Block
Henry Qin
Staff Software Engineer丨Block
Focuses on robust software systems. In an earlier life, he did research on
distributed systems and operating systems.
Jeff Bailey
Education Manager丨PingCAP
Jeff Bailey
Education Manager丨PingCAP
Responsible for the PingCAP education offerings in North America.
Kan Wu
PhD丨UW–Madison
Kan Wu
PhD丨UW–Madison
Advised by Andrea and Remzi Arpaci-Dusseau, his research focuses on operating
systems, databases, and distributed systems.
Kaustav Chakravorty
Senior Architect丨Flipkart
Kaustav Chakravorty
Senior Architect丨Flipkart
Kaustav is a software architect with experience in building a wide range of
systems - from Internet scale applications to embedded systems. Kaustav was also
earlier a founding member of Flipkart’s Fintech group who architected the
systems that today powers multiple fintech products on Flipkart, such as
Flipkart Pay-Later.
Matei Zaharia
Co-founder & Chief Technologist丨Databricks
Matei Zaharia
Co-founder & Chief Technologist丨Databricks
Assistant Professor of Computer Science at Stanford University. Original Creator
of Apache Spark™ & MLflow.
Mattias Jonsson
Senior Database Engineer丨PingCAP
Mattias Jonsson
Senior Database Engineer丨PingCAP
He has worked with MySQL for more than 15 years. Prior to joining PingCAP, he
worked for Booking.com, where he spent a significant amount of time on MySQL.
Max Liu
Founder & CEO丨PingCAP
Max Liu
Founder & CEO丨PingCAP
Active open source enthusiast, bootstrapped open source projects such as Codis,
TiDB and TiKV.
Mayank Shrivastava
Founding Engineer, Head of Data Engineering丨StarTree
Mayank Shrivastava
Founding Engineer, Head of Data Engineering丨StarTree
One of the original team members that built Apache Pinot at LinkedIn and a PMC
for the project. He currently heads the Core Data Engineering org at StarTree,
the company behind Apache Pinot, as well helps evangelize Apache Pinot in the
open source community.
Noel Yuhanna
VP, Principal Analyst丨Forrester
Noel Yuhanna
VP, Principal Analyst丨Forrester
Focuses on modern data architectures, cloud and hybrid cloud deployments.
Rajkumar Sen
Founder & CTO丨Arcion Labs
Rajkumar Sen
Founder & CTO丨Arcion Labs
Has many years of work experience in MemSQL, Oracle and Sybase, and has
published over a dozen papers in top-tier database conferences and journals and
is the recipient of 14 patents.
René Cannaò
CEO丨ProxySQL
René Cannaò
CEO丨ProxySQL
With over 2 decades of experience as System, Network and Database Administrator,
in the last 15 years his experience was focused mainly on MySQL and on
challenges related to high performance. From 2013 he is the author on ProxySQL,
the high performance and high availability proxy for MySQL and compatible
databases.
Robert Hodges
CEO丨Altinity
Robert Hodges
CEO丨Altinity
Began working on databases in 1983 and used or worked on 20 different database
implementations. His technical focus includes distributed systems, data
replication, and DBMS internals.
Sam Dillard
Principal Product Manager丨PingCAP
Sam Dillard
Principal Product Manager丨PingCAP
10+ years of Product Management, Sales, and Sales Engineering experience in
mostly the open source database world.
Srinivas Kesanapally
Sr Manager, Partner Solution Architects for Data and Analytics and DevOps丨AWS
Srinivas Kesanapally
Sr Manager, Partner Solution Architects for Data and Analytics and DevOps丨AWS
Over two decades of experience in working with database and analytics products
from traditional to modern database vendors and has helped many large technology
companies in designing data analytics solutions.
Steven Tey
Senior Developer Advocate丨Vercel
Steven Tey
Senior Developer Advocate丨Vercel
Builds starter kits with Next.js + Typescript to help developers build better
software. On the side, he also maintains open-source projects like dub.sh +
oneword.domains which has been used by over 100K users.
Sunny Bains
Software Architect丨PingCAP
Sunny Bains
Software Architect丨PingCAP
Senior database expert, former key member of MySQL Core Team and head of R&D for
InnoDB.
Thomas Yu
Co-founder丨KNN3 Network
Thomas Yu
Co-founder丨KNN3 Network
Web3 entrepreneur previously worked for BTCChina, Fundamental lab & Chainlink,
co-founder of KNN3 Network & core contributor of MashMesh.
Tim Spann
Developer Advocate | StreamNative
Tim Spann
Developer Advocate | StreamNative
Tim works with StreamNative Cloud, Apache Pulsar, Apache Flink, Flink SQL,
Apache NiFi, MiniFi, Apache MXNet, TensorFlow, Apache Spark, Big Data, the IoT,
machine learning, and deep learning. He has over a decade of experience with the
IoT, big data, distributed computing, messaging, streaming technologies, and
Java programming.
Tim Tully
Partner丨Menlo Ventures
Tim Tully
Partner丨Menlo Ventures
Focuses on cloud and data infrastructure, AI/ML and DevSecOps. Splunk ex-CTO.
Xinkai Wang
Staff Software Engineer丨Niantic
Xinkai Wang
Staff Software Engineer丨Niantic
Expertise in distributed system performance and scalability.



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