Entwicklerblog

This post was written in collaboration betweeen Eric Gieseke, principal software engineer at Algorand, and Anindita Mahapatra, solutions architect, Databricks.   Algorand is a public, decentralized blockchain system that uses a proof of stake consensus protocol. It is fast and energy efficient, with a transaction commit time under five seconds and a throughput of one...

We are excited to announce the availability of Apache Spark 3.1 on Databricks as part of Databricks Runtime 8.0. We want to thank the Apache Spark™ community for all their valuable contributions to the Spark 3.1 release. Continuing with the objectives to make Spark faster, easier and smarter, Spark 3.1 extends its scope with the...

Skip directly to the notebooks referenced throughout this post. When T-Mobile embraced the un-carrier label, they didn’t just kick off a marketing campaign; they fundamentally changed the dynamics in the US market for telecom. Previously, telecom had been a staid, utility-like industry with steady growth and subscribers locked into two-year contracts to cover a “free”...

Data science is becoming commonplace and most companies are leveraging analytics and business intelligence to help make data-driven business decisions. But are you supercharging your analytics and decision-making with geospatial data? Location intelligence, and specifically geospatial analytics, can help uncover important regional trends and behavior that impact your business. This goes beyond looking at location...

This fall, I interned with the ML team, which is responsible for building the tools and services that make it easy to do machine learning on Databricks. During my internship, I implemented several ease-of-use features in MLflow, an open-source machine learning lifecycle management project, and made enhancements to the Reproduce Run capability on the Databricks...

We recently announced the release of Delta Lake 0.8.0, which introduces schema evolution and performance improvements in merge and operational metrics in table history. The key features in this release are: Unlimited MATCHED and NOT MATCHED clauses for merge operations in Scala, Java, and Python. Merge operations now support any number of whenMatched and whenNotMatched...

This is a guest blog from software engineers Amog Kamsetty and Archit Kulkarni of Anyscale and contributors to Ray.io In this blog post, we're announcing two new integrations with Ray and MLflow: Ray Tune+MLflow Tracking and Ray Serve+MLflow Models, which together make it much easier to build machine learning (ML) models and take them to...

Der Anlage-Appetit war im Jahr 2020 sowohl bei privaten als auch bei institutionellen Investoren auf einem historischen Höchststand. Eine Studie zeigte, dass "Einzelhändler fast 25 % des Aktienmarktes nach COVID-gesteuerter Volatilität" ausmachen. Darüber hinaus haben sich institutionelle Investoren auf Investitionen in Kryptowährungen gestürzt, wobei 36 % in Kryptowährungen investiert wird, wie Business Insider darlegt. Als...

In früheren Blogs haben wir uns zwei verschiedene Arbeitsabläufe für die Arbeit mit Patientendaten angesehen, die aus einer elektronischen Gesundheitsakte (EHR) kommen. In diesen Workflows konzentrierten wir uns auf einen historischen Batch-Extrakt von EHR-Daten. In der realen Welt werden jedoch kontinuierlich Daten in eine EHR eingegeben. Für viele der wichtigen prädiktiven Healthcare-Analytik...

Die Finanzdienstleistungsbranche (FSI) stürzt sich in einen tiefgreifenden Wandel und bietet Transaktionsfunktionen und Zahlungserleichterungen über neue digitale Kanäle an, um wettbewerbsfähig zu bleiben. Leider kommen die Schnelligkeit und der Komfort, den diese Möglichkeiten bieten, auch Betrügern zugute. Betrug im Finanzdienstleistungsbereich bleibt angesichts des rekordverdächtigen Anstiegs der Gesamtzahl der Betrugsfälle immer noch die größte Bedrohung für...