Christophe Blefari

DECEMBER 31, 2023

A lot of things have been happening at the same time in my professional and personal life. Use Databricks to read Iceberg tables in Snowflake 🙃 — This post have been written by Snowflake team, but reflect a strategy from Snowflake to attract customers by being open, and Iceberg do the glue here, winning the table format.

Data 100

Data Cloud Storage Datasets Python 100

Workfall

SEPTEMBER 18, 2023

Pair this with Snowflake , the cloud data warehouse that acts as a vault for your insights, and you have a recipe for data-driven success. Benefits of Airbyte Best Practices for Using Airbyte with Snowflake 5 Real-world Use Cases for Using Airbyte with Snowflake Hands-On Conclusion What is Airbyte?

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Snowflake

MAY 3, 2023

In a recent Snowflake-commissioned survey, 55% of financial services leaders ranked cost optimization as the primary reason for cloud adoption*. The free two-day event, taking place online May 17 and 18, will explore industry trends, data and technology innovations, and data strategy case studies in financial services.

Insurance 52

Insurance Banking Finance Cloud 52

Snowflake

OCTOBER 5, 2023

Learn how Europe’s leading embedded finance provider delivers data faster, decentralizes access and improves lineage controls with Snowflake’s Data Cloud. Snowflake and Solaris: a perfect match Ben David and his team began assessing different cloud providers that might offer new ways to manage Solaris’ data.

Accessible 59

Accessible Accessibility Finance Banking 59

Monte Carlo

MARCH 28, 2023

The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. Today, data is often generated by a service and written into a transactional database. If you don’t like change, data engineering is not for you. Let’s look closer at each.

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

Snowflake

JUNE 26, 2023

We’re back for the Partner Summit at the world’s largest data, apps, and AI conference, Snowflake Summit ! The incredible advancements we have made in data accessibility, monetization, and generative AI would never have been possible without Snowflake’s vibrant and innovative partner ecosystem. And we want to say thank you.

Entertainment 54

Entertainment Retail Healthcare Business Intelligence 54

Snowflake

AUGUST 1, 2023

6Gorilla’s has one mission: to give back time to healthcare professionals and data engineers within service providers. 6Gorilla’s delivers data-driven solutions for healthcare institutions that provide services for mental health in youth, elderly care, medicare, and disabled care.

Healthcare 52

Healthcare Electronics Business Intelligence Data Science 52

Snowflake

MAY 22, 2023

In April, Snowflake released exciting features including general availability of Account Replication and the Snowflake Connector for Django on Snowflake Labs. Using a few commands, administrators can specify what to replicate and where, and Snowflake takes care of the rest. Learn more here. Learn more.

Healthcare 52

Healthcare Scala Medical Transportation 52

Snowflake

MARCH 13, 2023

As cloud environments become ever more complex, the risk of sophisticated security breaches increases, too—particularly for organizations operating in sensitive industries, such as financial services. I was already very aware of Snowflake’s capabilities from my previous company, which is why it was a natural choice.”

Cloud 52

Cloud Building Data Ingestion AWS 52

Ascend.io

OCTOBER 20, 2023

Snowflake has swiftly risen to prominence in the data world, and its consumption-based pricing model is well-known among data professionals. However , it’s time to clear the air: Snowflake isn’t out to empty your pockets. So what’s the next step after maximizing Snowflake’s native capabilities?

Pipeline-centric 52

Pipeline-centric IT Data Pipeline Bytes 52

Monte Carlo

MARCH 28, 2024

As the name suggests, a DevOps professional is responsible not only for developing systems but also for securing, scaling, and maintaining them. According to Glassdoor , DataOps professionals can expect to earn just shy of $80,000 annually. Since DataOps is derived from the DevOps methodology, it’s helpful to understand the latter.

Pipeline-centric 75

Pipeline-centric Engineering BI Google Cloud 75

Data Engineering Podcast

JULY 10, 2022

They also discuss how they have established a guild system for training and supporting data professionals in the organization. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. What does Riskified do?

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Snowflake

MARCH 14, 2023

Snowflake connected with Jeff Puchalski, Senior Cloud Security Architect at Dropbox, to learn how the company leverages Snowflake and Panther to scale threat detection and response. Security challenges As a file hosting service, Dropbox offers cloud storage, file synchronization, personal cloud, and client software.

Cloud Storage 52

Cloud Storage Cloud Software Engineer Software Engineering 52

Knowledge Hut

MARCH 26, 2024

Growing Technology Landscape: With the rapid advancements in technology, there's an increasing demand for professionals who can design and implement complex IT solutions. Varied Roles: Solutions Architects work across various industries, including IT consulting firms, technology vendors, financial services, healthcare, and more.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Snowflake

SEPTEMBER 27, 2023

Personalized services, hospital-at-home care and virtual visits are more popular than ever given the surge of options driven by the pandemic. Optimize care delivery models Healthcare providers continue moving away from fee-for-service models toward models that focus on achieving positive patient outcomes and savings.

Healthcare 81

Healthcare Accessible Accessibility Hospitality 81

Snowflake

AUGUST 17, 2023

The company originally considered SAP HANA, but a recommendation from a business associate led Lutz Bauer, C&A’s Domain Architect for Data Analytics, to download the architecture papers for Snowflake. Snowflake fit our ERP strategy, so we prepared a POC that would compare several different cloud offerings,” he said.

Cloud 52

Cloud Building Retail Data Warehouse 52

Snowflake

JUNE 27, 2023

This is why we’re introducing the new Snowflake Performance Index (SPI), an aggregate index for measuring improvements in Snowflake performance experienced by customers over time. This is one of the many ways Snowflake is helping customers get more value from the platform.

Data Governance 54

Data Governance Unstructured Data Government SQL 54

Towards Data Science

APRIL 3, 2023

The most prominent, recent examples are Snowflake and Databricks disrupting the concept of the database and ushering in the modern data stack era. Today, data is often generated by a service and written into a transactional database. Image courtesy of the authors. If you don’t like change, data engineering is not for you.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Warehouse 98

Ascend.io

SEPTEMBER 25, 2023

Now, data engineers, data architects and analytics engineers can build intelligent data pipelines for Snowflake, Databricks, and Google BigQuery through Ascend’s fully managed Software-as-a-Service (SaaS) platform. MENLO PARK , Calif. , Sept.

Data Pipeline 52

Data Pipeline Data Architect Metadata Media 52

Snowflake

JULY 24, 2023

Discover how the company uses Snowflake to deliver a company-wide financial reporting engine cost-effectively and at scale, enabling a more data-driven culture. We performed a one-to-one migration from our old environment with support from Snowflake’s Professional Services and local implementation partner, Solita,” explained Riipinen. “We

Building 52

Building Engineering Finance Data Lake 52

Towards Data Science

JULY 24, 2023

Of course, instead of life partners, engineers were starting to gleefully decouple storage and compute with emerging technologies like Snowflake (2012), Databricks (2013), and BigQuery (2010). The decoupled but combined approach is the magic that made one of the most common reviews of Snowflake that, “Everything just works.”

Metadata 96

Metadata Data Warehouse Data Lake Data Science 96

Snowflake

JULY 18, 2023

Discover how the company built its platform on Snowflake. The truth was, only Snowflake could offer an agnostic environment we could spin up easily.” At the heart of anecdotes’ platform sits a data pipeline leveraging Snowflake’s data sharing capabilities. We were well aware of other vendors’ capabilities at the time.

Data Process 52

Data Process Process Data Lake BI 52

Snowflake

MAY 9, 2023

Essentially putting an ATM machine onto a gas pump enabled the modern pay-at-the-pump, self-service gas station, and this was a major cross-industry innovation when it first appeared at a gas station in Abilene, Texas, in 1973. Even two decades later, only about 13% of convenience stores offered pay-at-the-pump service.

Retail 54

Retail Telecommunication Media Transportation 54

Data Engineering Podcast

DECEMBER 28, 2022

In this episode he shares his thoughts on the strategic and tactical elements of moving your work as a data professional from being task-oriented to being product-oriented and the long term improvements in your productivity that it provides. And don't forget to thank them for their continued support of this show!

Data Lake 130

Data Lake Data Warehouse Data Pipeline MongoDB 130

Monte Carlo

APRIL 24, 2023

Snowflake You may be surprised to see the pioneer of the modern data warehouse, Snowflake , on a list of top data lake vendors, and I don’t blame you. Notice how Snowflake dutifully avoids (what may be a false) dichotomy by simply calling themselves a “data cloud.” It works in both directions.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Data Engineering Podcast

JULY 10, 2022

While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows. Summary Building and maintaining reliable data assets is the prime directive for data engineers.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Christophe Blefari

JANUARY 7, 2023

Still, what happened was awesome and here a small personal / professional throwback: I worked for the French public sector as a freelancer: tax administration and education ministry. Introduction to Graph Machine Learning (related Grab Graph service platform ). The year was so different to what I was expected. Maybe this is an excuse.

Data Science 130

Data Science Data BI Kafka 130

Data Engineering Podcast

JULY 24, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. A core thesis in your work on Dagster is that developer tooling for data professionals has been lacking.

MongoDB 100

MongoDB Scala MySQL Data Lake 100

Knowledge Hut

JUNE 20, 2023

A machine learning engineer or ML engineer is an information technology professional. Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Apache Spark, Microsoft Azure, Amazon Web services, etc. In addition, it aids companies in quickly migrating to a cloud-based solution.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Data Engineering Podcast

JULY 30, 2021

In this episode Shinji Kim shares her experience as a data professional struggling to collaborate with her colleagues and how that led her to founding a company to address that problem. There has been a surge in tools and services for metadata collection, data catalogs, and data collaboration.

BI 100

BI SQL Metadata Kafka 100

Data Engineering Podcast

JULY 12, 2021

It builds your customer data warehouse and your identity graph on your data warehouse, with support for Snowflake, Google BigQuery, Amazon Redshift, and more. How does the modern data stack shift the responsibilities and capabilities of data professionals and consumers? Can you start by giving your definition of the modern data stack?

Designing 100

Designing Data Warehouse Data Governance Consulting 100

Monte Carlo

APRIL 28, 2022

Most data pros know Snowflake’s pricing model is consumption based–you pay for what you use. What many don’t know is Snowflake actually WANTS you to optimize your costs and has provided helpful features to rightsize your consumption. The key with Snowflake cost optimization initiatives is they too need to be right sized.

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

Monte Carlo

JANUARY 12, 2023

Today, we have a data team of about 20 professionals organized among three teams. The second team, data services , are more application or front-end oriented. We evaluated several solutions before quickly deciding to leverage Snowflake. Also, Snowflake scalability and features like data sharing were very attractive.

Architecture 52

Architecture Building Data Warehouse BI 52

Data Engineering Podcast

DECEMBER 4, 2021

In this episode he digs into the technical, statistical, and design requirements for running effective experiments and how he has architected the Eppo platform to make the process more accessible to business and data professionals. What are the services or capabilities external to Eppo that are required for it to be effective?

BI 100

BI Data Warehouse Designing Data Pipeline 100

Snowflake

FEBRUARY 13, 2023

In fact, those who capture the data are often overlooked— the cashier, the field service technician, or the user of the microwave in the breakroom. Encourage advocacy as professional development Finally, promoting the data culture and educating others is an opportunity for professional development.

Hospitality 71

Hospitality Building Banking Data 71

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. With around 5774 companies using it, Snowflake has recently been added to the top 20 most valued worldwide unicorns and the top 10 most expensive US unicorns. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Ascend.io

AUGUST 16, 2023

The collection and preparation of data used for analytics are achieved by building data pipelines that ingest raw data and transform it into useful formats leveraging cloud data platforms like Snowflake, Databricks, and Google BigQuery. Changes in one pipeline often cascade down to different teams and projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52