Data Analytics Archives - aster.cloud

8 min

How To Get Started With Event-Driven Microservices

Event-driven microservices are an excellent way to deliver both historical and new data to all of the systems and teams that need it, but they come with additional overhead and management requirements. Start small. Many organizations reach a stage in their growth where the monolithic applications that once served them well start to hold them back. Perhaps the business needs new functionality that the existing architecture can’t support, or more flexible ways to store and access data for their apps. Team growth, conflicting performance requirements, and new competitive technologies can also pose a challenge to a singular, monolithic codebase. Adopting…

4 min

Big Data

The Future Of Healthcare Is Data-Driven

As analytics tools and machine learning capabilities mature, healthcare innovators are speeding up the development of enhanced treatments supported by Azure’s GPU-accelerated AI infrastructure powered by NVIDIA. Improving diagnosis and elevating patient care Man’s search for cures and treatments for common ailments has driven millennia of healthcare innovation. From the use of traditional medicine in early history to the rapid medical advances of the past few centuries, healthcare providers are locked in a constant search for effective solutions to old and emerging diseases and conditions. The pace of healthcare innovation has increased exponentially over the past few decades, with the…

7 min

Building Streaming Data Pipelines On Google Cloud

Many customers build streaming data pipelines to ingest, process and then store data for later analysis. We’ll focus on a common pipeline design shown below. It consists of three steps: For the processing component, we’ll review three alternatives, ranging from basic to advanced: a BigQuery subscription, a Cloud Run service, and a Dataflow pipeline. Example use cases Before we dive deeper into the implementation details, let’s look at a few example use cases of streaming data pipelines: Ingesting data with Pub/Sub Let’s start at the beginning. You have one or multiple data sources that publish messages to a Pub/Sub topic.…

7 min

Built With BigQuery: Aible’s Serverless Journey To Challenge The Cost Vs. Performance Paradigm

Aible is the leader in generating business impact from AI in less than 30 days by helping teams go from raw data to business value with solutions for customer acquisition, churn prevention, demand prediction, preventative maintenance, and more. These solutions help IT and data teams identify valuable data through automated data validation, enabling collaborative open-world exploration of data, and deliver AI recommendations in enterprise applications to help teams achieve business goals while considering unique business circumstances such as marketing budgets and changing market conditions. For example, if a sales optimization model would require a 10% increase in sales resources for…

5 min

Meet Our Data Champions: Di Mayze, Calling Creative Brains To Draw Stories From Data

Editor’s note: This is the first blog in a series called Meet the Google Cloud Data Champions, a series celebrating the people behind data and AI-driven transformations. Each blog features a champion’s career journey, lessons learned, advice they would give other leaders, and more. This story features Di Mayze, Global Head of Data and AI at WPP, the creative transformation company that uses the power of creativity to build better futures for our people, planet, clients, and communities. Read more about WPP’s work and listen to Di speak at this fireside chat with Google Cloud’s VP of Marketing, Alison Wagonfeld,…

10 min

Built With BigQuery: How Oden Provides Actionable Recommendations With Network Resiliency To Optimize Manufacturing Processes

Background The Oden Technologies solution is an analytics layer for manufacturers that combines and analyzes all process information from machines and production systems to give real-time visibility to the biggest causes of inefficiency and recommendations to address them. Oden empowers front-line plant teams to make effective decisions, such as prioritizing resources more effectively, solving issues faster, and realizing optimal behavior. Use cases: Challenges and problems solved Manufacturing plants have limited resources and would like to use them optimally by eliminating any inefficiencies and making recommendations and providing data points as a key input for decision making. These data points are…

8 min

Computing

How To Use Advance Feature Engineering To Preprocess Data In BigQuery ML

Preprocessing and transforming raw data into features is a critical but time consuming step in the ML process. This is especially true when a data scientist or data engineer has to move data across different platforms to do MLOps. In this blogpost, we describe how we streamline this process by adding two feature engineering capabilities in BigQuery ML. Our previous blog outlines the data to AI journey with BigQuery ML, highlighting two powerful features that simplify MLOps – data preprocessing functions for feature engineering and the ability to export BigQuery ML TRANSFORM statement as part of the model artifact. In…

SQL

9 min

Demystifying BigQuery BI Engine

BigQuery BI Engine is a fast, in-memory analysis system for BigQuery currently processing over 2 billion queries per month and growing. BigQuery has its roots in Google’s Dremel system and is a data warehouse built with scalability as a goal. On the other hand BI Engine was envisioned with data analysts in mind and focuses on providing value on Gigabyte to sub-Terabyte datasets, with minimal tuning, for real time analytics and BI purposes. Using BI Engine is simple – create a memory reservation on the project that runs BigQuery queries, and it will cache data and use the optimizations. This…

3 min

Establish Consistent Business Language And Improve Trust In Your Data

Today we announce the Dataplex business glossary, now available in public preview. Dataplex is an intelligent data fabric that provides a way to manage, monitor, and govern your distributed data at scale. Dataplex business glossary offers users a cloud-native way to maintain and manage their business terms and definitions, establishing consistent business language, improving trust in data, and enabling self-serve use of data. In enterprises, small, medium, or large, there are many different teams. Each team, over time, develops its own language. For example, for a corporate team, “customer” could mean “legal entity,” whereas for the central platform team, it…

3 min

Engineering

How Innovative Startups Are Growing Their Businesses On Google’s Open Data Cloud

Data is one of the single most valuable assets for organizations today. It can empower businesses to do incredible things like create better views of health for hospitals, enable people to share timely insights with their colleagues, and — increasingly — be a foundational building block for startups who build their products and businesses in a data cloud. Last year, we shared that more than 800 software companies are building their products and businesses with Google’s data cloud. Many of these are fast-growing startups. These companies are creating entirely new products with technologies like AI, ML and data analytics that…

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