Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.
On Tuesday, November 12, the Women in Product Conference 2019 will welcome 2,000 innovative, game-changing product managers at all career stages at the Hilton Union Square in San Francisco. Our fourth annual conference will feature inspiring keynotes and breakout sessions led by talented innovators, insights and best practices from women pioneers in the field, and opportunities to connect with a fierce community of peers and potential mentors.
Databricks built Delta Lake to bring organization and consistency to data lakes so end users can quickly search, find, and trust the data they need. In this webinar, we’ll discuss the challenges with data lakes; explain how Delta Lake can restore reliability to data lakes; and explore how Talend accelerates data ingestion from a broad range of data sources to Delta Lake with comprehensive data quality and governance features.
Come and meet us on Stand 247 to discover how companies are using Databricks the Unified Data Analytics Platform, powered by Apache Spark™, to accelerate innovation. If you have questions about Databricks, Delta Lake or MLflow, please make an appointment using this link.
Curious to discover some Databricks real-life examples?
Alan Gawthorpe, Chief Technical Architect at Wejo, will present on 'Introduction to ADEPT and how big data and analytics is transforming the connected car ecosystem?' (ADEPT, Automotive Data Exchange Platform Technology), on Wednesday 13th November at 01.50pm on the Fast Data Theater.
And if real-life use cases is not your cup of tea, we invite you to join one of our presentations delivered on our mini-theater, stand 247:
- Databricks, Unified Data Analytics platform
- Mlflow, the platform for the machine learning lifecycle
- Databricks Delta Lake
- Presentations with our partners
Scale By the Bay is a developers' own conference. It was started by Dr. Alexy Khrabrov in 2013. He runs and organizes it every year as a community conference with the best Bay Area meetups and technologies powering the global leaders in data, operations, ML, and the art and craft of software engineering.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.
Whether you are cloud-native or migrating to the cloud, enterprises are looking for speed and agility. Databricks and StreamSets have partnered to bring rapid data pipeline design and testing to critical cloud workloads. Together, they bring the power of Apache Spark™ to a broad audience with a logical and visual, UI-based pipeline development tool. This allows more users to leverage Apache Spark™ and Delta Lake with confidence, reliability and unmatched performance in the cloud.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.
Join this half-day workshop to learn how unified analytics can bring data science and engineering together to accelerate your ML efforts. In this workshop, we’ll cover best practices for enterprises to use powerful open source technologies to simplify and scale your ML efforts. We’ll discuss how to leverage Apache Spark™, the de-facto data processing and analytics engine in enterprises today, for data preparation as it unifies data at massive scale across various sources.
Attend this event co-hosted by Informatica and Databricks to realize the value of big data by accelerating ingestion and preparation of data with intelligent data pipelines. The joint solution allows enterprises to bring data from on-premise and hybrid sources to the cloud with rapid data ingestion, simplified creation of high-volume data pipelines, and data governance for intelligent data discovery and end-to-end lineage. You will walk away with answers to key questions around Hadoop migration and efficient ways to process data for better business decisions.
