Analytics

snowflake

Driving Innovation and Efficiency with Gen AI in Life Sciences

Oct 2, 2024 By Harini Gopalakrishnan In Snowflake
AI has profoundly impacted the life sciences industry for the past couple of decades. In the 2000s, researchers were able to use AI to analyze the human genome, identifying genetic markers and variations that could predict an individual’s susceptibility to certain diseases. This opened the door to personalized medicine and more effective therapies for genetic disorders.
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yellowfin

How to Drill Through in Yellowfin Dashboards

Oct 2, 2024 By Yellowfin Team In Yellowfin
Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.
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How Booking.com Used Data Streaming to Put Travel Decisions into Customer's Hands

Oct 1, 2024 By Confluent In Confluent
Booking.com wanted to give people a “connected trip” experience, allowing customers to seamlessly book flights, accommodations, car rentals, and excursions in one visit. The company realized the value of data streaming early on in reaching this goal, but the operational effort had become overwhelming. Learn how Booking.com found the answer in Confluent’s data streaming platform. With its automated configuration that required no ongoing maintenance, the team was able to prioritize innovation with data and provide the comprehensive booking experience they had been searching for.
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hitachi vantara

Hitachi Vantara and Cisco: Even Better Together

Oct 1, 2024 By Phil Vadon In Hitachi Vantara
Enterprise computing goes through constant cycles of reinvention, often driven by the arrival of an innovation with the potential to change everything. As a service business models and GenAI are both great examples. As anyone in this space can attest, the pace of change can age you quickly. But at the same time, it’s what makes the business so exciting. And dare I say, it’s what keeps everyone in it young. It’s a bit of a conundrum if you think about it.
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astera

5 Strategies to Reduce ETL Project Implementation Time for Businesses

Oct 1, 2024 By Sunbul Ali In Astera
Picture this: You are part of a BI team at a global garment manufacturer with dozens of factories, warehouses, and stores worldwide. Your team is tasked with extracting insights from company data. You begin the ETL (Extract, Transform, Load) process but find yourself struggling with the manual effort of understanding table structures and revisiting and modifying pipelines due to ongoing changes in data sources or business requirements.
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astera

Making Waves with AI: Ensure Smooth Sailing by Automating Shipping Document Processing

Oct 1, 2024 By Raza Ahmed Khan In Astera
The year is 1424. You’re shipping goods across the world, and the ship in question gives you a bill of lading. It’s a piece of paper containing details about what your goods are, where you’re shipping them from, and where they’re headed. Fast forward to 2024. You’re shipping your goods across the world, and the shipping company gives you a bill of lading. It’s still (most likely) a piece of paper.
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databox

How to Embed Databox Dashboards in ClickUp: A Step-by-Step Guide

Oct 1, 2024 By Databox In Databox
Imagine having all your critical business metrics and project data seamlessly integrated within your favorite project management tool. For ClickUp users, this vision becomes a reality with the embedding of Databox dashboards. No more toggling between multiple platforms or juggling tools — embedding a Databox dashboard into ClickUp centralizes your insights, empowering you to make informed decisions without missing a beat.
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confluent

Your Guide to the Apache Flink Table API: An In-Depth Exploration

Oct 1, 2024 By Martijn Visser In Confluent
Apache Flink offers a variety of APIs that provide users with significant flexibility in processing data streams. Among these, the Table API stands out as one of the most popular options. Its user-friendly design allows developers to express complex data processing logic in a clear and declarative manner, making it particularly appealing for those who want to efficiently manipulate data without getting bogged down in intricate implementation details.
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