Speakers on Big Data

adolescence, apple inc., apple music, baby shark, bayby shark, corporate scandal, data responsibly, database, donald duck, entertainment, gangnam district, gangnam style, google, kids, mickey mouse, miley cyrus, mobile phone, peter pan (1953 film), pinkfong, q&a (australian talk show), ryan lee, search engine optimization, smartphone, song, spider-man, spotify, star wars, streaming media, techsauce , techsauce global sumiit 2019, techsauce global summit, the walt disney company, tsgs, tsgs19, viral phenomenon, viral video, woody, woody world, youtube

apache hadoop, apache hive, apache kafka, apache spark, big data, cloud computing, comma-separated values, computer data storage, computer file, data, data lake, data lakes, data warehouse, database, environment, extract, transform, load, json, linkedin, microsoft sql server, parameter (computer programming), relational database, relational model, scalability, semicolon, serverless computing, sql, table (database), twitter

data access

ai, analytics, anonymity, bank, big data, blockchain, cambridge analytica, communities, computer, computer file, computer network, consumer privacy, credit score, data, data science, data scientist, database, definition, deontological ethics, digital electronics, digital twin, entrepreneurship, equifax, ethics, ethnography, facebook, garbage truck, general data protection regulation, goal, internet, internet of things, machine learning, monopoly, online and offline, open-source software, point of sale, police body camera, predictive analytics, privacy, product lifecycle, program optimization, public speaking, race (human categorization), reason, remote sensing, research, router (computing), smart city, wealth

communities, data, database

analitic, data base, data science churn

cucle, data science, modules, python

data

ai, amazon alexa, blockchain, business intelligence, chatbot, clinical trial, computer vision, data science, data scientist, data scientists, deep learning, internet bot, machine learning, machine learning applications, machine translation, medical diagnosis, ml ops, mobile app, natural language processing, natural-language understanding, optical character recognition, software , speech recognition, speech synthesis, statistical classification, streaming media, subtitles, tensorflow, unstructured data, virtual assistant

internet, mongodb, performance considerations

brand, data, sponsorships

data, database

ai, analytics platform, bias, blockchain, causality, competition, coronavirus disease 2019, correlation and dependence, correlation does not imply causation, covid-19 pandemic, customer, data science, data scientist, dialog management, language, machine learning, nlp, political corruption, research, risk, social media, software as a service, software bug, sql, statistical hypothesis testing, statistics, supply chain, time for business, understanding, whatsapp, youtube, zoom (software)

data, database, gaming

business, data, database

business, data, database

bit, business card, check constraint, data, data dictionary, data integrity, database, database index, database schema, definition, engineer, experience, foreign key, groundbreakers, language, metadata, mysql, nosql, nothing, oracle cloud, oracle developers, physics, pointer (computer programming), question, relational database, replication (computing), sql, table (database), unique key

abstraction (computer science), analytics, apache hive, cloud computing, computer, computer performance, computer programming, data architectures, data warehouse, database, extract, transform, load, image scanner, internet of things, machine learning, microsoft excel, presto (sql query engine), programming language, project jupyter, scalability, shapefile, sql, statistics, tensorflow, thread (computing), vertica

covid 19, data, flight frequencies, global airline traffic

analyse, digitzation, research

data-driven development

gene therapy, immune system, technology, transformative treatments

continuous delivery, continuous integration

continuous delivery, continuous integration

market verticals, security industry

apache hadoop, big data, comma-separated values, command-line interface, computer, computer file, data, data compression, data lake, data visualization , database, database schema, dimension (data warehouse), email, environment variable, feedback, file format, internet, inventory, ios, laptop, m language, microsoft excel, microsoft powerpoint, oracle corporation, python (programming language), sql, text file, warehouse

assistive technology, camera, closed captioning, color blindness, common sense, computer keyboard, control-alt-delete, database, font, gamification, icon (computing), internet, machine learning, macular degeneration, mobile app, motivation, open source, optic nerve, pdf, retinitis pigmentosa, screen reader, typography, visual impairment, visual perception, vmware, web browser, web content accessibility guidelines, world wide web

machine learning

keynote

amazon dynamodb, application software, central processing unit, cloud computing, computer, computer hardware, conceptual model, database, database design, design, disaster recovery, distributed computing, groundbreakers, hybrid drive, keynote, multi-core processor, nosql, oracle cloud, oracle developers, program optimization, relational algebra, relational database, relational model, scalability, server (computing), solid-state drive, sql, transport layer security, virtualization