Systems | Development | Analytics | API | Testing

Building a Modern Data Fabric on a Strong Foundation: Hitachi Vantara and MongoDB

The pursuit of business insights is a central focus the enterprise. More than a mere natural resource, data is fueling strategic decision making and as a result, the future of business. Hitachi Vantara is committed to helping accelerate data-driven experiences with cloud-ready infrastructure, advanced data management solutions, and expert services. But no company or provider in the 21st century can go it alone.

Snowflake's Newest Workload for the Data Cloud: Cybersecurity

Cybersecurity is a data problem at its core. Yet, security teams haven’t achieved tremendous success in utilizing the modern data stack that data analytics teams have enjoyed for years. Security teams face constant pressure from vulnerabilities and breaches in their infrastructure and supply chains because they remain on a proverbial island with antiquated technology. Cybersecurity leaders must uplevel their strategies by implementing a modern security data lake.

4 ways you're not (but should be) using Talend tMap Component

Ever wondered what our most-used components are? Here at Talend, one of my “Shadow IT” jobs is to report on component usage. If you've ever used Talend Studio (either the open source Talend Open Studio or the commercial version) you most likely already know and love the component tMap.

Data analytics vs data visualization vs BI reporting: What's the difference?

Data is the biggest asset for any business, and its advantages are many. Data can help enterprises better understand their customers, improve advertising campaigns and bottom lines, and personalize their content. However, you cannot access these benefits without proper embedded analytics and reporting tools that make data a true part of your day-to-day workflow. Because while raw data has a lot of potential, a business needs the right tools to access, manage, share and analyze it to great effect.

The Power of Exploratory Data Analysis and Visualization for ML

Data scientists and machine learning engineers in enterprise organizations need to fully understand their data in order to properly analyze it, build models, and power machine learning use cases across their business. Due to the lack of tooling specifically designed for data discovery, exploration, and preliminary analysis, this presents a significant challenge for these teams.

Choreograph Uses Snowflake to Build a Data Mesh to Enhance Data Sharing Across WPP's Vast Enterprise

In order to satisfy client expectations, advertising and media agencies must aggregate, centralize, and mobilize data to augment customer insights, enhance campaigns, and measure attribution. Doing that well is no easy task. For WPP, the world’s largest advertising and media consulting company, that task is made more complicated by the vast amounts of data it owns that is spread over its large network of operating companies (Op-Cos).

Moving Enterprise Data From Anywhere to Any System Made Easy

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Over the last few years, we have had a front-row seat in our customers’ hybrid cloud journey as they expand their data estate across the edge, on-premise, and multiple cloud providers.

MessageGears Connects Messaging to Live Data with Snowflake

In this episode of “Powered by Snowflake,” Daniel Myers chats with Craig Pohan, Chief Technical Officer at Message Gears, about his company’s customer marketing platform. The platform connects directly to a customer’s own Snowflake data cloud, allowing them to take full advantage of their data to create audience segments and deliver cross-channel marketing messages without having to upload sensitive customer data to a third-party messaging application.

Technical Demo - Universal Data Distribution With Cloudera DataFlow for Public Cloud

Hands-on demo for Cloudera Data Platform’s Universal Data Distribution (UDD) Service using CDF for the public cloud. This demo shows how to build ingest pipelines that move data from anywhere in the business to any other system, software, or workflow. In this particular demo we will show how the UDD service enables automation of ingest and data delivery across multiple public cloud providers into other analytic systems.