Data Warehousing as Code: Secrets to Using SQL to Build Your DW in Minutes
Tired of spending ages building and developing data warehouses? Join in this session to learn how you can build a software-defined data warehouse with code in just minutes!
Using the industry's first IDE for building "DW as Code", developers can now create DWs and data applications using their entire datasets with visual imperative programming and eager execution.
We will explore how to develop, test and operationalize a DW using SQL and Python.
In this action-packed event, you will discover the power of algorithms in defining transactional marts and subsume antiquated DDL/DML processes that require difficult third party tools that are challenging to maintain in production systems, and consume high cloud costs while providing limited control over SLAs.
Join us and you will learn how to increase your developer productivity with SQL and Python, and put your ML models into production pipelines to classify, infer, score and predict.
Modern workloads require an ultramodern approach to solving problems and creating high business value. In this presentation we will explore the DW-as-Code paradigm that empowers developers to build flexible and programmatic data apps and warehouses.
Nikita specializes in delivering complex analytics solutions for Fortune 100 companies, with a primary focus on SQL and the Financial Services sector.
In addition to earning advanced degrees in physics and maths, Nikita has over two decades of experience in both leading and building advanced analytics systems at Morgan Stanley, Deutsche Bank, Goldman Sachs, JP Morgan and many other reputable firms.
Karun has held engineering, product management and product marketing leadership roles across various companies including Lockheed Martin, Oracle, Microsoft and Pivotal. He holds a masters in Computer Science from MIT and an MBA from UC Berkeley.
Josh is a product engineer with a background in software engineering and product development. Before joining Xcalar, he has worked in financial services and SaaS companies building solutions in the data analytics space.