20+ sessions from technical experts in data management, data analytics & data science
Watch the opening keynote from Zero Gravity 2022: 30 min fireside chat between Google Cloud CEO Thomas Kurian and Incorta CEO Scott Jones. They discuss the rapidly-evolving cloud ecosystem, where it’s heading and what it all means for data architects, engineers, and end users.
Watch this session to discover whether it’s possible to build a general-purpose data pipeline that meets all the analytics needs of the business. You’ll learn: - The pros and cons of general-purpose vs. purpose-built data pipelines - How organizational structure and culture can impact data architecture - The common characteristics of every data pipeline - How to build a pipeline for real-time data access
Watch this session to learn the policies to select relevant smaller objects, and how to manage the indexing of these objects within the blob. We will also discuss how different cloud storage operations such as reads and deletes would be implemented for such objects. This includes recycling blobs that have dead small objects — due to overwrites, etc. Finally, we will showcase the potential impact of such a strategy on Netflix assets in terms of cost and performance.
In this talk, Maxime teases his vision for the future of business intelligence that revolve around answers
Watch this session to learn how Techwish can help you provide your business with never before seen data insights within your current ERP and also future proof this for your fusion cloud journey.
Tools and technology exist to enable customers to solve for these challenges. Watch as Kanerika shares solutions to help solve for the various Supply use cases using the right tools and technology.
Watch this session to learn how the Advanced TV solution enables users to get all benefits of programmatic data applied to the most engaging medium. The TV intelligence tool provides multiple insights to enable users to connect data, discover insights, and activate campaigns with efficiency.
Watch this session to see every step of Quintor's journey, including dealing with user team proficiency (or the lack thereof), struggling with the Kubernetes executor, trying our hand at zero-downtime deployments, getting the scaling right, and wrestling with the PostgreSQL database backend.
Watch the closing keynote from Zero Gravity 2022: 30 min fireside chat between Microsoft Corporate VP of Azure Data Rohan Kumar and Incorta Executive VP of Strategy Steve Walden. They discuss key trends emerging across the data analytics industry, and the impact these shifts are having on companies, data teams, and the future of data analytics.
When there’s a generational shift in technology, you have to reevaluate how you approach specific challenges – sometimes even how you define the challenge in the first place. Watch this session to explore new solutions to a number of notorious data engineering challenges.
This session looks at the ways that you can easily generate metadata and then use that same metadata to drive data engineering, analysis, governance, and security in your day-to-day workloads. Tagging data can solve a myriad of problems when using the data (especially in large databases with a wide range and variation of data).
With software projects getting more and more complex, delivering new features into production quickly and safely has become a major challenge for software organizations today. For this reason, making sure developers are able to develop and deploy new features in rapid cycles is a key success factor, but his task has long been neglected. Watch to learn how software organizations are prioritizing this key success factor through a new practice Developer Productivity Engineering.
Learn how to incorporate machine learning solutions into existing data analytics workflows with Juan Malaver, Data Scientist at eCapital Advisors. In this 5-min ligntning talk, he shares eCapital's approach to delivering ML insights leveraging a unified analytics structure to streamline data science workflows.
In this lighting talk founding team member at Monte Carlo, Brandon Gubitosa, covers the six must-have layers you need to include in your data platform and the order in which many of the best teams choose to implement them.
Sharing data across multiple platforms is a cornerstone of any data pipeline. On the cloud, this operation could be a little bit too tricky. With that in mind, Incorta constructed its Delta Sharing Service to guarantee flawless secure access to data on the cloud. Now, accessing the data needed for an effective and reliable data pipeline is just a few seconds away.
Watch this session for a discussion on rearchitecting for the cloud. Learn why services should be redesigned for the benefits of containerization, microservices architectures, and secure by default principles, and how companies get ahead of common challenges to avoid disappointing customers and maximizing engineers productivity.
This session discusses the industry's move toward real-time analytics and the technical requirements this will involve. Learn how flexible schemas, support for complex queries, and the ability to handle bursts in traffic and out-of-order events help pave the way for real-time analytics.
Apache Kafka forms the backbone of the modern data pipeline and its stream processing capabilities provide insights on events as they arrive. But what if we want to go further than this and execute analytical queries on this real-time data? Learn how OLAP databases used for analytical workloads traditionally executed queries on yesterday's data with query latency in the 10s of seconds.
Watch this session to learn how data teams leverage metadata to power better collaboration, enabling organizations to accelerate onboarding and build data products outside the central team. The sessions covers how active metadata and how its application through embedded collaboration, open API interface, powered by knowledge graphs, programmable-intelligence bots, data process automation, reverse metadata, can help meet enterprise governance standards.
Data mesh is the big new paradigm in data architecture, like microservices for data. Let's break through the hype and see why it's catching on, what's involved in building a mesh implementation, and what tech is involved. This session reviews the range of mesh use cases, how cloud providers and commercial data platforms can help, and what specific types of tools are available for fulfilling data mesh capabilities.
Do you ever feel like there might be a better way to manage and utilize data in your organization? Data Mesh challenges traditional and modern data architectures to reveal a new way for data management. Jump into this 5-minute lightning talk to discover why Data Mesh is gaining major traction and how Incorta is naturally and uniquely aligned with many of the tenets of Data Mesh.
A paradigm shift is coming in data analytics. While traditional definitions of dimensional modeling, ETL, and data warehousing have served us well, new advancements are making analytics against non-aggregated data not only a reality, but full of practical benefits.
Learn how ITHENA is helping organizations implement the modern approach to analytical applications and data-based transformation!
The Modern Data Stack has ushered in an unprecedented wave of modular, interconnected data tooling. An occasionally overwhelming amount, in fact. How are successful data practitioners navigating this new world? Margaret Francis, CPO at dbt Labs, will hone in on best practices, offering practical strategies for teams looking to tackle data problems at scale while staying on the cutting edge.
Watch this session to learn how to productize your data to deliver high-quality data sets in minutes by automating the manual tasks of pipeline development, maintenance, scaling, and orchestration.
Watch this session to hear how reimagined DataOps is a critical success factor to unlocking the full value of your data-driven business strategies, and how new technologies and shifting operating models are transforming the delivery of DataOps services.
Watch Prabha Kuppusamy, Senior BI Developer at Comcast, walk you through how Comcast reimagined their data pipeline to make the transition from batch overnight reporting to refreshing data every 15 minutes by eliminating time-consuming transformation and aggregation processes.
Learn how Keysight Technologies was able to accelerate reports with 40+ joins across tables with hundreds of millions of records each to deliver operational reports for finance, supply chain, service, sales and other functions that run or refresh in only one minute. All without physical star schemas or unnecessary data transformations.