Databricks FinTech Unicorn Presentation

Databricks FinTech Unicorn Presentation. Student Name: Max Kruszeski Course #: FINA 4075 Course: FinTech Foundations & Applications Date: February 15 th 2022 Company Name: Databricks Company Headquarters: San Francisco, California Sub-sector: Big Data, Artificial Intelligence, the Cloud.

1. History and Background. 2.

[Audio] Databricks is a data-and- AI focused company that interacts with corporate information stored in the public cloud. Databricks was founded in 2013 by a team of professors and graduate students at the University of California Berkely during the AMPLab Project. Ali Ghodsi serves as the CEO, and shares co-founder status with six other professors and grad students, Each member of the team worked on unique projects in the past resulting in the culmination of the final product Databricks. As of February 1st the company was valued at around $ 28 Billion, and is headquartered in San Francisco California.

2. What Is It?. 4.

[Audio] To better understand what Databricks is and its capabilities. We must first get an understanding data lake houses, the structure the Databricks platform follows..

[Audio] A data lake house is a data management architecture that combines the benefits of a traditional data warehouse and a data lake. It seeks to merge the ease of access and support for enterprise analytics capabilities found in data warehouses with the flexibility and relatively low cost of the data lake. Data lakehouses address four key problems with the traditional two-tier architecture that spans separate data lake and data warehouse tiers, including: Reliability, Data Staleness, weak analytics, and cost. Data lakehouses solves these problems by implementing advanced data processes, Artificial intelligence ( AI) and machine learning support, and SQL tuning..

[Audio] Apache Spark is an open-source, distributed processing system used for big data workloads. Apache Spark is used in the Databricks platform Databricks is a Cloud-based Data Engineering tool that is widely used by companies to process and transform large quantities of data and explore the data. This is used to process and transform extensive amounts of data and explore it through Machine Learning models. It allows organizations to quickly achieve the full potential of combining their data, ETL processes, and Machine Learning. Databricks is the world's first and only lake house platform in the cloud..

3. Market & Growth Opportunities. 8.

[Audio] Because Databricks is the world's first and only lake house platform in the cloud, indicating no direct competitors at this point. Today, more than 5,000 organizations worldwide — including ABN AMRO, Condé Nast, H&M Group, Starbucks, T-Mobile, Regeneron, Shell and many more — rely on Databricks to enable massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Being that there are no companies offering a data lake house platform like Databricks at this point, and their ability to raise capital, the future looks incredibly bright for Databricks. The company landed the number two spot on Forbes' 2021 Cloud 100 list, and CEO Ali Ghodsi told Forbes in 2021 that Databricks is IPO-ready..

[Audio] Databricks has had a successful journey from when it was founded in 2013, and this success is on path to continue due to their products advanced capabilities, ability to raise capital, and large market share. Because there are no competitors, Databricks will continue to generate revenue through its subscription based SaaS data analytics, AI and cloud based platform until a direct competitor may come along. CEO Ali Ghodsi saying the company is " IPO ready" could also provide more room for the growth if the company does decide to go public..

5. Bibliography. 11. Works Cited “About Databricks.” Databricks , 27 Oct. 2021, https://databricks.com/company/about-us#:~:text=Today%2C%20more%20than%205%2C000%20organizations,machine%20learning%20and%20business%20analytics. Cai, Kenrick. “Databricks Reaches $38 Billion Valuation after New $1.6 Billion Injection.” Forbes , Forbes Magazine, 31 Aug. 2021, https://www.forbes.com/sites/kenrickcai/2021/08/31/databricks-series-h-38-billion/?sh=5a4f5c5a38b3. Databricks, Sherly Angel on, et al. “What Is Databricks: The Best Guide for Beginners 101.” Hevo , 16 Dec. 2021, https://hevodata.com/learn/what-is-databricks/. “Founders.” Databricks , 4 Feb. 2022, https://databricks.com/company/founders. Posey, Brien. “What Is a Data Lakehouse?” SearchDataManagement , TechTarget, 10 Sept. 2021, https://searchdatamanagement.techtarget.com/definition/data-lakehouse#:~:text=A%20data%20lakehouse%20is%20a%20data%20management%20architecture,and%20relatively%20low%20cost%20of%20the%20data%20lake..