integrate

Data Lake Transformations for Modern Analytics

Apr 17, 2025 By Donal Tobin In Integrate
In today’s data-driven world, businesses are navigating an unprecedented surge in information—global data volumes are expected to reach 175 zettabytes by 2025. At the heart of this revolution is the data lake: a flexible, scalable, and cost-effective solution that is redefining how organizations store, process, and extract value from their data.
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integrate

Data Quality in Snowflake: Best Practices for 2025

Apr 17, 2025 By Donal Tobin In Integrate
Ensuring data quality in Snowflake is critical for organizations that rely on data-driven decision-making. As Snowflake continues to dominate the cloud data warehouse landscape, understanding and leveraging its native data quality features is essential for maintaining trustworthy, accurate, and actionable data.
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qlik

Do Data Differently: What It Means and Why It Matters

Apr 16, 2025 By Chris Powell In Qlik
Starting today, you might notice something different from us. A bold new look. A fresher voice. A clear message: Do Data Differently. It’s how we see the world, and how we want the world to see us. Because let’s face it: the pressure on businesses to move faster, cut through complexity, and act with confidence has never been higher.
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confluent

Beyond Boundaries: Leveraging Confluent for Secure Inter-Organizational Data Sharing

Apr 16, 2025 By Alex Stuart In Confluent
Data is one of a company’s most valuable assets. Its value is often limited, however, by the challenge of sharing it across organizational boundaries in a secure, reliable, and scalable way. Traditional approaches to inter-organizational data sharing have contributed to this. Flat file sharing, API calls, and proprietary solutions all pose different challenges, from security concerns to scalability and development burden.
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confluent

Why Is My Apache Flink Job Not Producing Results?

Apr 16, 2025 By Wade Waldron In Confluent
Imagine that you have built an Apache Flink job. It collects records from Apache Kafka, performs a time-based aggregation on those records, and emits a new record to a different topic. With your excitement high, you run the job for the first time, and are disappointed to discover that nothing happens. You check the input topic and see the data flowing, but when you look at the output topic, it’s empty. In many cases, this is an indication that there is a problem with watermarks.
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astera

Understanding Autonomous AI Agents

Apr 16, 2025 By Khurram Haider In Astera
We’ve all heard of digital assistants that perform specific tasks based on our requests. But what if these digital assistants could operate with ever more autonomy? While this requires an intelligent system, such as an autonomous AI agent, capable of recognizing opportunities and acting on them without constant human input or explicit instructions, the good news is that organizations no longer need specialized developers to build their own agents.
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astera

Enterprise AI Strategy: Why AI Agents Should Be Your First Step

Apr 16, 2025 By Usman Hasan Khan In Astera
Since Generative Artificial Intelligence (GenAI) captured mainstream attention a few years ago, businesses have been looking for ways to implement AI into their operations. There are some obvious reasons for this shift: saved time, increased productivity, and decreased need for manual effort. But there’s also another factor at play—the realization that not embracing AI now means getting left behind by the competition.
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thoughtspot

Insights to action powered by analytics agents

Apr 16, 2025 By Ketan Karkhanis In ThoughtSpot
Prior to coming to ThoughtSpot, I was at Salesforce where my team and I built Einstein Analytics. I fundamentally believe the role of Analytics and BI is not just to give you a chart that shows what happened—it also needs to show you why it happened, what could happen, and tell you what you can do about it. That's what being data-driven means.
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Unstructured Data Analytics For Enterprises

Apr 16, 2025 By Snowflake Inc. In Snowflake
Get insights from your unstructured data in minutes without wrestling with pipelines or infrastructure. Using simple SQL, enterprises can translate multi-language text, understand and extract sentiment from reviews, classify key themes, and summarize millions of records faster than ever. With built-in governance, enterprise-grade security, and production scalability, you can trust the speed and reliability of your intelligence. Join Snowflake’s Arun Agarwal, Renee Huang, and Vino Duraisamy to see how Snowflake Cortex AI makes this easy.
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