Systems | Development | Analytics | API | Testing

S3 Lake Formation with Apache Iceberg enables ACID compliance, the key to data lake governance and regulatory compliance.

When it comes to picking the right data structure, developers often invest significant time in choosing what should be implemented. A good data structure can simplify data operations, save time, and make code more comprehensive. Collections of data are commonly stored using Objects and Arrays. For storing keys/value pairs, developers use Objects, and for storing indexed lists, they use Arrays. Iterable objects in ECMAScript 2015 presented two new types: Maps and Sets in JavaScript.

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake.

Data has become an essential driver for new monetization initiatives in the financial services industry. With the vast amount of data collected from customers, transactions, and market movements, among other sources, this abundance offers tremendous potential for financial institutions to extract valuable insights that can inform business decisions, improve customer service, and create new revenue streams.

Modern businesses demand companies to be fast, agile, customer-focused, innovative, collaborative, and digitally-savvy. Phew, that’s a lot! This poses the question of how can companies meet all these demands? The answer? By switching to microservices which build more scalable, agile, resilient, and diverse systems. When a company meets these demands, they stay competitive, grow their market share, and achieve long-term success.