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Established in 1999, the all-volunteer Foundation oversees more than 350 leading Open Source projects, including Apache HTTP Server —the world's most popular server software.

Through the ASF's meritocratic process known as "The Apache Way," 850+ individual Members and 8,200+ Committers successfully collaborate to develop freely available enterprise-grade software, benefiting millions of users worldwide: thousands of software solutions are distributed under the Apache License; and the community actively participates in ASF mailing lists, mentoring initiatives, and ApacheCon, the Foundation's official global conference series. 

The ASF is a US 501(c)(3) charitable organization, funded by individual donations and corporate sponsors including Aetna, Alibaba Cloud Computing, Amazon Web Services, Anonymous, Baidu, Bloomberg, Budget Direct, Capital One, Cerner, Cloudera, Comcast, Didi Chuxing, Facebook, Google, Huawei, IBM, Microsoft, Pineapple Fund, Red Hat, Reprise Software, Target, Tencent, Workday, Union Investment, and Verizon Media. For more information, visit https://www.apache.org/ and https://twitter.com/TheASF

EF Invest

Berkshire Hathaway

Sequoia Capital

Morgenthaler

Venrock

Matrix Partners

Plug and Play Tech Center

Kibo Ventures

Herald Investment Management

2020 Ventures

Bluefish Capital

Cardinal Capital Management

Greenlight Capital

Arcturus Capital

Greenline Partners

Leavell Investment Management

Media Investment Group

Thomas White International

Digital Economy Ventures

Emerson Wealth

Safina Ventures

Alive Capital

PSP Investments

DNB Asset Management

Wider Sky

Shore Point Advisors

Kleiner Perkins

Matters

Million Labs

Gynther Capital

Leverty Financial Group

Cipher International

Black Capital Investments

KPitalism

The App Store is the best place to discover and download apps you’ll love on your iPhone, iPad, and iPod touch.

HDFS:
1. Policy-driven Data Retention & Deletion. Uber has vast amount of data on HDFS. This project aims at reducing HDFS footprint by enforcing TTL (time-to-live) based on policies defined at dataset level. Besides TTL, there could be other policies such as from safety & compliance (e.g., GDPR requirement), TTA (time-to-archive), etc. Therefore, we designed and implemented a service that schedule and execute various data manipulation tasks based on policies and the resolution in case multiple policies exist for a single dataset.

PayPal

Toyota

Tencent

SoftBank Vision Fund

Fort Ross Ventures

Public Investment Fund

LetterOne

Tata Capital

Microsoft

Kingdom Holding Company

Goldman Sachs Investment Partners

Times Internet

Lauder Partners

Goldman Sachs

Alive Partners

FJ Labs

Fidelity Investments

Wellington Management

Menlo Ventures

New Enterprise Associates

Qatar Investment Authority

Lone Pine Capital

Valiant Capital Management

BlackRock

Summit Partners

Google Ventures

Shumway Capital

Man Capital

Benchmark

Bezos Expeditions

Alfred Lin

A-Grade Investments

First Round Capital

Lowercase Capital

Founder Collective

Kapor Capital

Lance Michael Comes

Jason Calacanis

Steve Jang

Bill Gurley

Justin Caldbeck

David Cohen

Christopher Kile

Troy Carter

Suzy Ryoo

Duarte Moreira

Alisher Usmanov

General Atlantic

Norwest Venture Partners

HarbourVest Partners

Tiger Global Management

Innovation Endeavors

Foundation Capital

Data Collective

Iconiq Capital

Industry Ventures

TrueBridge

TeleSoft Partners

TEV Ventures

Square Peg Capital

ACE and Company

Aster

Structure Capital

AppWorks

Archer Venture Capital

Valor Equity Partners

Glade Brook Capital

Raptor Group

Scott Belsky

SignalFire

RocketSpace

Darwin Ventures

AITV

Plus Capital

The Syndicate

Swordfish Investments

Olive Tree Capital

Lead Edge Capital

Level Ventures

Dragon Global

Method Advisors

Tao Capital Partners

HDS Capital

Think+

Vulcan Capital

Signatures Capital

Cota Capital

Eastlink Capital

Black River Ventures

K2 Global

Cross Culture Ventures

Inbright

Frees Fund

Caspian Venture Capital

App-based platform offering ride-hailing and on-demand services. The platform enables users to book various services including taxi-hailing, food delivery, freight solutions, and more. It offers self-drive electric vehicle rentals, corporate transportation, and more. It also ventures into transit solutions in order to provide optimized travel agencies and transportation for users. It offers features like real-time tracking, variant payment options, and more. Their mobile app is available for both Android and iOS devices.

App-based platform offering ride-hailing and on-demand services

HDFS:
1. ObserverNameNode. A new type of HDFS NameNode that supports read-only requests. Initially designed and implemented this feature at Uber, and later on collaborated with open source community and helped to develop an enhanced version of this feature in upstream HDFS. This feature helped to greatly scale HDFS NameNode RPC throughput and reduced RPC latency by 10-30 times. At the moment, all Presto interactive queries go through ObserverNameNode at Uber.

Hive/Presto:
1. Hive-on-Spark migration. Helped to migrate Uber's Hive pipelines from MapReduce to Spark engine, for better efficiency. Fixed various scalability/stability issues, both in Hive and Spark. Now ~99% of Uber's Hive jobs are running on Spark.
2. Nested Column Pruning in Hive. An optimization in Hive for processing Parquet data with complex types, such as list, map, and struct. This work is done in collaboration with Intel. It helped to improve our Hive query efficiency.
3. Query Translator from Vertica to Presto. This project is used to help the migration from Vertica to Presto. It utilizes Apache Calcite to do the translation from Vertica into AST and then does the heavy lifting work for things like various UDFs and timestamp formats.

1. Hive-on-Spark, supporting Spark as an execution engine for Hive. I mainly worked on components including multi-insertion, mapjoin optimization, Spark plan generation, dynamic partition pruning, etc.
2. RecordService, an abstraction layer between computing frameworks (e.g., MapReduce, Spark, Hive) and storage systems (e.g., HDFS, S3, HBase). Check out http://recordservice.io for more detail.

Firsthand Technology Value Fund

Intel

T. Rowe Price

MSD Capital

Accel

Greylock

Meritech

In-Q-Tel

Ignition Partners

Carl Icahn

BNY Mellon

Glynn Capital

DAG Ventures

Vanguard

Clayton Dubilier & Rice

State Street

Robeco

Geode Capital

NEXT Financial

NISA

Rising Tide Fund

Vertex Ventures

Peregrine Capital Management

Vaidya Capital Partners

The Patriot Financial Group

Vertex Holdings

Texas Atlantic Capital

Oceanic Partners

Edvest Traders

ADS Ventures

Corner Ventures

Canas Capital

Ascolta Ventures

UCLA Ventures

Star Tech NG

OGGI Equity

Harmony Venture Partners

Cloudera is a provider of artificial intelligence based platforms offering a big data stack. Its features include multi function analytics, hybrid, and multi cloud variation, as well as data warehouses and visualization. It caters to multiple sectors like healthcare, retail, education, manufacturing, and the telecom industry.

Artificial intelligence based platform offering big data stack

Software Engineer at Apple

Chao Sun