Systems | Development | Analytics | API | Testing

In today’s rapidly evolving data security landscape, it’s critical for organizations to secure their services, particularly in the face of rising cyber threats. Robust security measures for streaming data are vital to safeguard against breaches and losses, and help to maintain trust among customers and partners, while ensuring compliance with regulatory requirements.

In today’s fast-moving digital economy, organizations need real-time intelligence to power AI, analytics, and increasingly fast paced decision-making. But to successfully deploy AI and advanced analytics, businesses must operate on trusted, up-to-date data streams that provide an accurate picture of what’s happening right now.

Datastream, a change data capture (CDC) service, connects to Salesforce, captures changes, and delivers them to BigQuery, Cloud Storage, etc.

Unstructured text is everywhere in business: customer reviews, support tickets, call transcripts, documents. Large language models (LLMs) are transforming how we extract value from this data by running tasks from categorization to summarization and more. While AI has proved that real-time conversations in natural language are possible with LLMs, extracting insights from millions of unstructured data records using these LLMs can be a game changer. This is where batch LLM inference becomes essential.

In today’s data-driven world, nonprofits need efficient ways to manage donor information and streamline their fundraising processes. Integrate.io’s latest feature enables organizations to extract, transform, and load data directly into the Salesforce Nonprofit Connector—specifically supporting key objects like Gift records. This advancement brings automation, accuracy, and scalability to nonprofit data operations.

Modern data platforms are the backbone of today’s data-driven enterprises. Organizations can unlock insights faster, enhance decision-making, and maintain a competitive edge by seamlessly integrating data from diverse sources—ranging from on-premises systems to cloud services and real-time streams.

Data integration is a critical component of modern data engineering processes. A robust, scalable, and secure data pipeline enables organizations to extract actionable insights from disparate data sources. The following best practices outline a technically sound approach to data integration.