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snowflake

Modern Marketing Data Stack: Best Practices from Analyzing Snowflake's Customer Base

Sep 28, 2022 By Ganesh Subramanian In Snowflake

Are you efficiently unifying, modeling, analyzing, and activating all the data you need to drive impactful marketing campaigns and customer experiences? For years, marketing teams have struggled to operate from a single view of the customer and their business, essential to powering personalized experiences and measuring impact on key KPIs such as sales, growth, and profitability. Today, only half of all marketers have a unified view of the customer.

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bigquery

Built with BigQuery: BigQuery ML enables Faraday to make predictions for any US consumer brand

Sep 28, 2022 By Dr. Ali Arsanjani In Google BigQuery

In 2022, digital natives and traditional enterprises find themselves with a better understanding of data warehousing, protection, and governance. But machine learning and the ethical application of artificial intelligence and machine learning (AI/ML) remain open questions, promising to drive better results if only their power can be safely harnessed.

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Accelerate data modernization initiatives with Talend Change Data Capture

Sep 27, 2022 By Talend In Talend
In times of economic uncertainty, businesses need to get the most value from their data, while minimizing pressure on their systems and databases. But with the exponential growth of the variety and volume of data, extracting business value out of that data is only getting increasingly difficult. The result is data transfer latency, data loss, high cost of managing such data, data sources, leading to an inability to use data to make high-ROI business decisions.
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yellowfin

Yellowfin 9.8 Release Highlights

Sep 27, 2022 By Yellowfin Team In Yellowfin
Introduced in 9.7 as the simplest way to ask questions of your data, Yellowfin 9.8 delivers exciting updates to Guided NLQ, and additional improvements to our report builder. The latest release makes Guided NLQ even more powerful and simpler to use, with new question types (Cross-tab), more intuitive questions with field synonyms and default date periods, and protection against long-running queries - in addition to faster report building.
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Demo: Unravel Data - A Unified View for Data App Performance Details

Sep 26, 2022 By Unravel In Unravel
Today, DataOps teams have to correlate data from far too many point tools. DataOps observability is far too cumbersome; the manual effort to optimize data apps takes time that DataOps teams simply don’t have. With Unravel’s AI-enabled platform, all of this disparate data is pulled together into a unified view of data app performance; every detail in a single view. View configurations, logs, and errors… all in one place.
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Demo: Unravel Data - Tuning Data App Performance Automatically

Sep 26, 2022 By Unravel In Unravel
Optimizing data apps shouldn’t be trial and error. This takes nights and weekends away from DataOps teams - and it’s incredibly inefficient. Unravel provides an “expert in a box” feature, driven by AI, that provides DataOps teams with tangible insights and recommendations to optimize data apps. Need to fix a bottleneck to meet an SLA? Trying to improve the overall efficiency of data pipelines? Unravel makes this easy with specific, automated recommendations (all the way down to the code-level) to tune your data apps for better performance.
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Demo: Unravel Data - Optimizing Cloud Costs at the Cluster Level

Sep 26, 2022 By Unravel In Unravel
Most DataOps teams have a huge opportunity when it comes to optimizing their cloud costs. Today, the standard for success of many developers is ensuring that their jobs are running at all costs. The efficiency of those jobs isn’t the top priority. With Unravel, DataOps teams can optimize cloud costs by rightsizing their clusters. Unravel makes it easy to identify clusters that are consuming a large percentage of resources, and drill down to see automatic recommendations to improve the efficiency of those clusters.
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Demo: Unravel Data - Map Your Workloads to the Cloud (and Calculate Costs)

Sep 26, 2022 By Unravel In Unravel
When a data team is migrating applications to the cloud, they’ll need to anticipate how many resources those apps will consume. This can often take a DataOps teams into unfamiliar territory since on-prem applications are assessed very differently from a utilization standpoint. This information is critical to inform the cloud architecture - and to anticipate the total cost of ownership for the cloud migration.
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