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Episode 2: Building a foundation for customer 360 | BODi

In this episode of Data Drip, Aarthi Sridharan, VP of Data Insights and Analytics at BODi, examines her experience leading a complex data migration project to achieve customer 360 in a rapidly evolving fitness industry. She reflects on the challenges of migrating from multiple on-premises data warehouses to a unified cloud-based system and highlights the most important lessons she learned about planning, adapting, and managing a major multi-year project.

Observability in Snowflake: A New Era with Snowflake Trail

Discovering and surfacing telemetry traditionally can be a tedious and challenging process, especially when it comes to pinpointing specific issues for debugging. However, as applications and pipelines grow in complexity, understanding what’s happening beneath the surface becomes increasingly crucial. A lack of visibility hinders the development and maintenance of high-quality applications and pipelines, ultimately impacting customer experience.

Accelerate Development and Productivity with DevOps in Snowflake

Today’s data-driven world requires an agile approach. Modern data teams are constantly under pressure to deliver innovative solutions faster than ever before. Fragmented tooling across data engineering, application development and AI/ML development creates a significant bottleneck, hindering the speed of value delivery required to stay competitive. Disparate tools create a complex landscape for developers and data teams, hindering efficient pipeline development and deployment.

How to Use Flink SQL, Streamlit, and Kafka: Part 2

In part one of this series, we walked through how to use Streamlit, Apache Kafka, and Apache Flink to create a live data-driven user interface for a market data application to select a stock (e.g., SPY) and discussed the structure of the app at a high level. First, data with information on stock bid prices is moved via an Alpaca websocket, then, it’s produced to a Kafka topic in Confluent Cloud where it is also processed with Flink SQL.

insightsoftware's Open Business Data Fabric

Imagine you're in finance, juggling with data scattered across countless applications. Combining information from various sources for tasks like budgeting, forecasting, and regulatory unnecessarily hard. The traditional data warehouse approach promises a solution, but it comes with a hefty price tag. It's slow, expensive to maintain and requires constant IT involvement. Data Fabric offers a more promising approach. It connects to various data sources in real time, eliminating outdated information and providing a unified view for applications and BI tools.

Databricks Follows Cloudera by Adopting Iceberg, While Snowflake Mulls Open Source Approach

A constant flow of breaking news from the data lakehouse space is making notable tech headlines this week. On Tuesday, Databricks announced that it will acquire Tabular, a data management company founded by the creators of Apache Iceberg, Ryan Blue, Daniel Weeks, and Jason Reidfor. The deal was for an unconfirmed sum, but some reports suggest that amount to be between $1B and $2B (and allegedly outbidding Snowflake).