Systems | Development | Analytics | API | Testing

The Data Chief Live: Designing your winning data strategy

The Data Chief Live: Designing your winning data strategy Join Maria Villar, Head of Enterprise Data Strategy and Transformation at SAP, Samir Sharma, CEO and Founder at datazuum, and ThoughtSpot Chief Data Strategy Officer, Cindi Howson, to kick start your year by designing a winning data strategy. Hear data leaders in this space share their experience and tips such as.

Automating Customer Touchpoints with Snowflake, Hightouch, and dbt Cloud

With hundreds of SaaS products in a given company, it’s getting more and more challenging and time-consuming to manage supplier relationships and negotiate contracts. Vendr has completely transformed this entire process by creating a SaaS buying platform where stakeholders can easily handle the relationships and contracts of their different software suppliers in a centralized platform.

The Complete Guide to Using the Iguazio Feature Store with Azure ML - Part 1

In this series of blog posts, we will showcase an end-to-end hybrid cloud ML workflow using the Iguazio MLOps Platform & Feature Store combined with Azure ML. This blog will be more of an overview of the solution and the types of problems it solves, while the next parts will be a technical deep dive into each step of the process.

What Is the Difference Between REST and SOAP APIs?

When machines need to communicate with one another and exchange data, they require certain formatting for specific data types. That's where SOAP API and REST API come into play. They allow for communication and transfer of data, but each is different in several ways. From implementation to their required resources, various attributes separate one from the other.

How Bayer Crop Science uses BigQuery and geobeam to improve soil health

Bayer Crop Science uses Google Cloud to analyze billions of acres of land to better understand the characteristics of the soil that produces our food crops. Bayer’s teams of data scientists are leveraging services from across Google Cloud to load, store, analyze, and visualize geospatial data to develop unique business insights. And because much of this important work is done using publicly-available data, you can too!

ODSC Webinar: Git Based CI/CD for ML

In this session, Yaron Haviv, Iguazio's Co-Founder and CTO, discussed how to enable continuous delivery of machine learning to production using Git-based ML pipelines (Github Actions) with hosted training and model serving environments. He touched upon how to leverage Git to solve rigorous MLOps needs: automating workflows, reviewing models, storing versioned models as artifacts, and running CI/CD for ML. He also covered how to enable controlled collaboration across ML teams using Git review processes and how to implement an MLOps solution based on available open-source tools and hosted ML platforms. The session includes a live demo.

Heroku PostgreSQL and Integrate.io

What can you do with data collected on Heroku PostgreSQL? How will you analyze it and integrate it? With Integrate.io, of course! Integrate.io lets you connect to a PostgreSQL database on Heroku, design a dataflow via an intuitive user interface, aggregate the data, and even save it back to PostgreSQL on Heroku or other databases and cloud storage services. Read on to learn more about the benefits of Heroku Postgres and how to integrate Heroku PostgreSQL with Integrate.io.