Systems | Development | Analytics | API | Testing

Discover Your Datasets - The Self-Service Data Roadmap, Session 1 of 4

In this session, Unravel CDO and VP Engineering Sandeep Uttamchandani describes the start of any large, data-driven project: the Discover phase. You must identify the insights you want to generate from the project, you must discover; that is, you must identify the current data assets you have, and the new data assets you will need, to generate the insights you want to produce. Sandeep expertly guides you through this process, and shows you how to invest the right amount of time and effort to get the job done.

Express Cloudera POV on 2021 data trends in insurance

Almost a year into the pandemic, the accelerated digital transformation has begun to feel less abrupt and more sustained. 2021 looks likely to be defined by a new phase: Thriving on digital transformation, rather than just surviving through it. We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19.

Cloudera DataFlow's key milestones and wins in 2020

Needless to say, 2020 was an unforgettable year in a lot of ways and we were all happy to say goodbye to it. The pandemic has ushered in new ways of how we conduct businesses, remote work cultures, telehealth, grocery/food deliveries, etc. While certain industries were hard-hit by this change, most of the businesses were able to adapt, pivot, and take on this adversity in their stride.

Lost in the Cloud? Why Mapping YOUR Transformation Journey Is More Important Than Ever

The past 10 months have accelerated the race to cloud. That’s all the more reason to pause and check that you’re moving in the right direction. Cloud migration these days is something of a no-brainer. For most businesses, it’s no longer a question of whether to migrate to cloud. The real issues are around the how, when, what, where and even the why of cloud.

New Snowflake Features Released in January 2021

Snowflake continued expanding its platform capabilities at the start of the new year, adding updates to data sharing, Snowsight, and data pipelines that help customers and partners access, mobilize, and share their data for better data-driven outcomes. Here’s a brief rundown of some of the exciting announcements from January 2021.

Using other CDP services with Cloudera Operational Database

In the previous blog post, we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. COD is an operational database-as-a-service that brings ease of use and flexibility to Apache HBase. Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution.

The Global Health Crisis Is Accelerating Transportation's Need for Digital Transformation

The transportation industry has reached an inflection point – one in which nearly all forms of travel have been met with unprecedented challenges. Transit and airport revenues have been decimated with the lack of passengers, while freight and shipping companies have been overwhelmed with demand from an explosion of e-commerce orders. Despite facing unprecedented challenges, the industry is facing an equally unprecedented opportunity to innovate.

Moving Big Data and Streaming Data Workloads to Google Cloud Platform

Cloud migration may be the biggest challenge, and the biggest opportunity, facing IT departments today - especially if you use big data and streaming data technologies, such as Cloudera, Hadoop, Spark, and Kafka. In this 55-minute webinar, Unravel Data product marketer Floyd Smith and Solutions Engineering Director Chris Santiago describe how to move workloads to Google Dataproc, BigQuery, and other destinations on GCP, fast and at the lowest possible cost.

Why Verizon Media picked BigQuery for scale, performance and cost

As the owner of Analytics, Monetization and Growth Platforms at Yahoo, one of the core brands of Verizon Media, I'm entrusted to make sure that any solution we select is fully tested across real-world scenarios. Today, we just completed a massive migration of Hadoop and enterprise data warehouse (EDW) workloads to Google Cloud’s BigQuery and Looker.