%term

Figma Builds An Effective Security Program With Snowflake

Jul 18, 2022 By Snowflake In Snowflake

Figma connects everyone in the design process so teams can deliver better products, faster. Organizations around the world entrust Figma to securely host their ideas, designs, and plans.

View Video

Snowflake

Read more about Figma Builds An Effective Security Program With Snowflake

Fraud Detection With Cloudera Stream Processing Part 2: Real-Time Streaming Analytics

Jul 18, 2022 By André Araújo In Cloudera

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion.

Read Post

Cloudera

Read more about Fraud Detection With Cloudera Stream Processing Part 2: Real-Time Streaming Analytics

Most Valuable Excel KPI Dashboards for Any Business (Sourced from Experts)

Jul 18, 2022 By Jessica Malnik In Databox

From business and marketing to sales management, SEO, and project management, these are 7 of the most valuable Excel KPI dashboards.

Read Post

Databox

Read more about Most Valuable Excel KPI Dashboards for Any Business (Sourced from Experts)

Data challenges: From mainframes to the modern data stack

Jul 18, 2022 By Mark Van De Wiel In Fivetran

The sheer quantity and diversity of data sources make today’s landscape strikingly different — which requires a new set of tools.

Read Post

Fivetran

Read more about Data challenges: From mainframes to the modern data stack

Demo - Exploiting a data fabric to drive data literacy and data democratisation

Jul 17, 2022 By Talend In Talend

Join Talend experts to learn how to drive data literacy and adoption throughout your organisation with a seamless data fabric. Discover how to balance collaboration, ease of use and governance to deliver trusted data insights and outcomes at the speed of the business.

View Video

Talend

Analytics
BI

Read more about Demo - Exploiting a data fabric to drive data literacy and data democratisation

MLOps World Toronto: MLOps Beyond Training Simplifying and Automating the Operational Pipeline

Jul 17, 2022 By Iguazio In Iguazio

Most data science teams start with building AI models and only think about operationalization later. But taking a production-first approach and automating components is the key to generating measurable ROI for the business. In this talk, Iguazio’s co-founder and CTO, Yaron Haviv, explains how to simplify and automate your production pipeline to bring data science to production faster and more efficiently. He displays real live use cases while going through all the different steps in the process.

View Video

Iguazio

Read more about MLOps World Toronto: MLOps Beyond Training Simplifying and Automating the Operational Pipeline

Performance considerations for loading data into BigQuery

Jul 15, 2022 By Jit Biswas In Google BigQuery

Performance considerations for loading data into BigQuery for various file types.

Read Post

Google BigQuery

Read more about Performance considerations for loading data into BigQuery

People Were Skeptical of Data Warehouses. Now History Is Repeating.

Jul 15, 2022 By Bill Inmon In Integrate

This is a guest post by computer scientist Bill Inmon, recognized as the "father of the data warehouse." Bill has written 65 books in nine languages and is currently building a technology called textual ETL. Many years ago, there were no data warehouses. Most Ecommerce retailers relied on legacy systems with unintegrated data that couldn’t communicate with each other, resulting in data silos. Comparing data sets from these systems was almost impossible.

Read Post

Integrate

Read more about People Were Skeptical of Data Warehouses. Now History Is Repeating.

Performance considerations for loading data into BigQuery

Jul 15, 2022 By Jit Biswas In Google BigQuery

It is not unusual for customers to load very large data sets into their enterprise data warehouse. Whether you are doing an initial data ingestion with hundreds of TB of data or incrementally loading from your systems of record, performance of bulk inserts is key to quicker insights from the data. The most common architecture for batch data loads uses Google Cloud Storage(Object storage) as the staging area for all bulk loads.

Read Post