If you have been curious to learn more about databricks, the open source data analytics platform, there are a few ways you can get involved. From a keynote presentation to a UC Berkeley visiting scholar, there are a variety of opportunities for you to learn more.
UC Berkeley visiting scholar on databricks
Databricks is a California-based company founded in 2013. It was formed by seven University of California, Berkeley researchers. They wanted to create a company that could change how data analysts work.
Before starting Databricks, the researchers were focused on academic projects. In the early 2000s, they had the opportunity to work on a cluster-computing framework called Apache Spark. However, they were told that the open-source project was not yet ready for enterprise use.
But it didn’t take long for the software startup to turn a profit. The venture capital firm Andreessen Horowitz invested $14 million in the company. That led to the company’s first round of funding.
Databricks is now a successful company, with sales of $12 million last year. Its revenues are projected to reach $1 billion by 2022. This success can be attributed to meeting a growing demand for data science tools.
At its core, Databricks is an open-source cloud data analytics company. It offers a suite of products around the Apache Spark framework. The platform is designed to allow organizations to run all kinds of workloads on it.
Funding round led by Franklin Templeton
Franklin Templeton has led a new funding round for Databricks. The investment comes as the company continues its ambitious growth plan. In the last six months, Databricks has secured over $1.5 billion in new capital. These funds will help the company continue its rapid growth and drive innovation.
Databricks provides an open architecture for data and analytics. It is used by more than 5,000 companies worldwide. This funding round will enable Databricks to expand its engineering team. The company’s vision is to become the leading provider of data lakehouse solutions in the cloud.
As data grows, it becomes more difficult to manage. Databricks aims to simplify the management of big data and provide artificial intelligence tools to businesses. They help customers find, analyze, and operationalize business processes.
In the past, Databricks has been a partner with Amazon Web Services. Now, it will also work with Microsoft to create a new solution, Azure Databricks. Together, they will build a platform to power AI on Azure.
AI-enabled, open source data analytics platform company
Databricks is an AI-enabled, open source data analytics platform. Its core is an advanced architecture for data lakes and data warehouses. This architecture provides high-performance and reliability for both.
According to its website, Databricks’ platform is used by over 7,000 organizations, including 40% of Fortune 500 companies. They help companies make smarter decisions and solve tough problems. The company is based in San Francisco.
As an open-source data and AI specialist, Databricks provides customers with an advanced lakehouse and data warehouse that can unify analytics and machine learning. Their MLflow pipeline allows non-technical users to easily set up machine learning models. These include pre-defined templates for different types of ML model.
The company’s Lakehouse Platform is designed to provide a consistent management and security experience across all cloud environments. Teams can use it to understand the needs of consumers, advertisers, and employees.
Currently, more than 7,000 organizations worldwide rely on Databricks to transform large volumes of streaming and structured data into predictive insights. Companies can unify their data and analytics to build better business models.
It’s time for Databricks to unveil the full agenda for its Data + AI Summit, a customer event that will be held on April 16th and 17th at the Santa Clara Convention Center. During the event, the company will debut a variety of product innovations and announce a variety of new partners. The company will also present its mission, vision and values. You can expect to hear from CEO Ali Ghodsi and co-founders.
The company was founded by the original creators of Apache Spark, Delta Lake and MLflow. Their mission is to help data teams solve the toughest problems. They are now headquartered in San Francisco and have offices in the U.S. and around the world. With over 5,000 organizations using its open source-driven lakehouse architecture, they are bringing together data, analytics and AI in one powerful platform.