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.

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.

Today, May 21st marks ThoughtSpot’s nine year anniversary as a company. We’ve come a long way from exchanging ideas at Starbucks and working from an office set-up inside LightSpeed Ventures for the initial few weeks. Today, we offer customers the most innovative cloud analytics platform in the world and help thousands of users ask and answer questions with data.

Business intelligence (BI) tools have been a shot in the arm of the enterprise. Teams can create their own visualizations and enjoy self-service analytics, without needing IT to compile reports or wrangle big data. But, of course, there’s a catch. BI tools expose data to a wider range of people, which means there are new issues of BI security (BISEC) and privacy to think about, especially in the age of GDPR. Here’s what you need to know.

Automation will fail to achieve most of its potential if treated as a specialty, single-function tool applied only to accelerate narrow parts of business processes. In most industries, financial services included, automation done properly is a journey that delivers a steady stream of benefits resulting from building a broader and increasingly powerful multilayered stack of automated processes and analytics.

Many people may know me as someone who aims to find a mathematical angle in almost everything. And they wouldn’t be wrong – on my journey to bring my passion for math to the masses, I’ve even shown the mathematical angle for finding love! Yes, really – feel free to read my book on it. So, if there’s just one thing that I want people to take away from my chat with Joe DosSantos on Data Brilliant, it’s that math and data really do touch every part of our lives.

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. This year, we expanded our partnership with NVIDIA, enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI.

When digital disruption first hit the finance and investment markets, it seemed to signal the death knell for the traditional banks and financial institutions. For a time, it looked as though the best-known brands were doomed to become utilities: only good for basic financial transactions, weighed down by legacy processes and technologies, and viewed as little more than digital dinosaurs.

84.51° is a wholly owned subsidiary of Kroger, the US retailing giant – the largest supermarket chain in America, and the fifth-largest retailer in the world. As an organization, 84.51° is a descendant of dunnhumby, analytics geniuses who revolutionized customer loyalty programs at Tesco in the UK decades ago.

Companies deal with high volumes of data every day. In fact, 51% of businesses realize a positive difference in their bottom line by using their business intelligence (BI) to predict customer trends. According to one source, the BI market may reach close to $30 billion before the end of 2022. With so much money going into data management and so much resulting from it, the need for effective cybersecurity measures continues to grow by the day.