Analytics

Have a cool summer with BigQuery user-friendly SQL

With summer just around the corner, things are really heating up. But you’re in luck because this month BigQuery is supplying a cooler full of ice cold refreshments with this release of user-friendly SQL capabilities. We are pleased to announce three categories of BigQuery user-friendly SQL launches: Powerful Analytics Features, Flexible Schema Handling, and New Geospatial Tools.

Pushing Past Pilot Paralysis to Launch and Scale IIOT Use Cases

With billions of industrial IoT (IIOT) devices in place, generating massive volumes of data from “the edge,” the potential for proof of concept success for use cases in the factory can be paralyzing. While the value of this digital revolution, aka Industry 4.0, is clear, realizing the full promise has been slow. Research and real-life experience from Accenture shows that many manufacturers get stuck early on or can’t get beyond proof-of-concept pilots to scale.

How to be a data-driven organization: Key learnings from Chief Product Officer Summit

Many people consider data-driven culture exclusively as one that comprises a large data team (analysts, data scientists), perfect data-sets neatly organized in a structured data warehouse, and the perfect tools to both access and utilize data in every decision made. Ultimately, however, much of data-driven culture comes down to a clear focus on the end-goal. Many people forget data is just an implementation, something that helps us in what we do.

The Four Upgrade and Migration Paths to CDP from Legacy Distributions

The move into any new technology requires planning and coordinated effort to ensure a successful transition. This blog will describe the four paths to move from a legacy platform such as Cloudera CDH or HDP into CDP Public Cloud or CDP Private Cloud. The four paths are In-place Upgrade, Side-car Migration, Rolling Side-car Migration, and Migrate to Public Cloud.

10 Best Data Analysis Tools for Data Management

Data analysis is a key component for operating a successful business in today's tech-savvy world. When analyzing data sets, however, every business has its own needs. While some companies employ data scientists to work with complex big data, others have fewer and less complicated data sources that even non-technical users can navigate. Your specific needs will influence the type of tool your company chooses for data management.

The Ultimate PII Checklist

Data breaches can happen to any company, regardless of size or technical resources. In April 2021, Facebook’s reputation took a massive hit when a data breach impacted more than half a billion users. The worst kind of data breach involves personally identifiable information (PII). PII is essentially any data that contains sensitive details about real people, such as customers and employees.