MFT vs. SFTP: Which File Transfer Is Right for You?

Managed File Transfer (MFT) and Secure File Transfer Protocol (SFTP) are both go-to solutions for sending files between internet-connected systems. However, SFTP prioritizes securely transferring files over a network, while MFT is a more robust solution for securing, managing, and even customizing file transfers to fit your specific needs.

Strengthening Your Data Ecosystem with Unrivaled Security

As data ecosystems evolve security becomes a paramount concern, especially within the realm of private cloud environments. Cloudera on Private Cloud with the Private Cloud Base (CDP PvC Base) stands as a beacon of innovation in the realm of data security, offering a holistic suite of features that work in concert to safeguard sensitive information.

Empowering Seamless Data Governance with a New User Experience in Snowsight

At Snowflake, we are dedicated to helping our customers effectively mobilize their data while upholding stringent standards for compliance and data governance. We understand the importance of quick and proactive identification of objects requiring governance, as well as the implementation of protective measures using tags and policies.

Shared Data Reporting: Deep Excel Functionality Meets Web-Based Dashboards

Finance teams are no strangers to pressure. But now more than ever, challenges from both outside and inside organizations are testing your resiliency. Inflation, economic uncertainty, and swiftly-changing regulations significantly impact finance professionals. Every organization has roadblocks like budgetary restraints, data limitations, and clunky, manual processes.

Current '23 Keynote: Streaming into the Future - The Evolution & Impact of Data Streaming Platforms

Jay Kreps (Confluent Co-Founder and CEO), Shaun Clowes (Confluent CPO), and data streaming leaders from organizations like NASA, Warner Brothers, and Notion explore the past, present, and future of data streaming. They will address two key questions: how can organizations integrate data across their applications to deliver better experiences, and how can they embed data and analytics into every part of the business to drive better decision-making?

Top 6 Reasons to Modernize Legacy Messaging Infrastructure

Traditional messaging middleware like Message Queues (MQs), Enterprise Service Buses (ESBs), and Extract, Transform and Load (ETL) tools have been widely used for decades to handle message distribution and inter-service communication across distributed applications. However, they can no longer keep up with the needs of modern applications across hybrid and multi cloud environments for asynchronicity, heterogeneous datasets and high volume throughput.

Practical Data Mesh: Building Decentralized Data Architectures with Event Streams

Why a data mesh? Predicated on delivering data as a first-class product, data mesh focuses on making it easy to publish and access important data across your organization. An event-driven data mesh combines the scale and performance of data in motion with product-focused rigor and self-service capabilities, putting data at the front and center of both operational and analytical use-cases.