Systems | Development | Analytics | API | Testing

Top 3 Data and Analytics Trends to Prepare for in 2022

The past two years have seen significant disruption across sectors, markets and technology dynamics, forever changing the way businesses, workers, and customers use data. But while global conditions have created uncertainty, it’s also driven more opportunities for organizations to optimize processes to respond faster to evolving customer demands, competitor shifts, and new risks - leveraging new, innovative data solutions.

New Snowflake Features Released in March 2022

In March, Snowflake continued to enhance its capabilities around data programmability and data pipeline development, with the Snowpark API and stored procedures for Java now in public preview, schema detection now generally available, and the Snowflake SQL API generally available. In addition, Snowflake’s user interface, Snowsight, is generally available. Not to mention an expanded selection of new partners to choose from in Snowflake Data Marketplace.

Get Your Retail Plan in Shape: A 7-Step Regimen for Year-Round Selling

Once upon a time, the retail calendar centered itself on the Christmas season. Now, the retail surge is year-round. Not just the wave of traditional seasonal holidays from Valentine’s Day to the 4th of July, but also newer sales holidays, such as Cyber Monday, or even holidays created by some gigantic companies themselves, like Amazon’s Prime Day. Now, instead of a steady pace leading up to a frenzied December, retailers are in sprint mode all the time.

Estée Lauder: Transforming the retail experience during a pandemic

Change is something every business leader has to deal with. But in the past two years, doing business has just gotten weird and harder. In this video, Christal Bemont, Talend's CEO and David Malloy, Executive Director of the Estee Lauder Companies discuss how he used healthy data to fuel a dramatic business transformation of the major cosmetics retailer.

Commerzbank | Unleashing Hidden Data Treasures for Customers

Like many financial institutions, Commerzbank was challenged with staying flexible to meet customer needs, while also meeting regulatory compliance. In this Movers & Makers, Justyna Lebedyk, Product Owner in Big Data for Commerzbank, talks about how their digital transformation with the hybrid cloud and Cloudera allowed them to overcome this challenge.

Modernizing the Analytics Data Pipeline

Enterprises run on a steady flow of best-fit data analytics. Robust processes ensure these assets are always accurate, relevant, and fit for purpose. Increasingly, organizations are implementing these processes within structured development and operationalization “pipelines.” Typically, analytics data pipelines include data engineering functions such as extract-transform-load (ETL) and data science processes such as machine-learning model development.

Data In Motion: NASA and Aurica

Some 300 million years ago, Earth had one continent called Pangea. Over millions of years, that vast single land mass broke up and drifted in different directions, creating the seven continents that exist today. Since the planet changed so dramatically over millennia, it raises an obvious question: How will it change in the future? The same forces, plate tectonics and continental drift, that broke up Pangea hundreds of millions of years ago still exert themselves.

Build or Buy Embedded Analytics: What's the difference?

Companies nowadays are well aware of the importance of embedded analytics when it comes to being data-driven. Today, building your own analytics infrastructure into your software applications for your customers is not the only option anymore. There is a growing market of embedded analytics tools that offer purchasable solutions for data analysis.

Analyzing Unstructured Data With Snowflake Explained In 90 Seconds

What if there was a way to easily manage, process, and analyze any data type in a single platform? Snowflake is here to help. Simplify your architecture with a single platform for all data types and workloads, unlocking new use cases for your data. With Snowpark, your data scientists and engineers can securely build scalable, optimized pipelines, and quickly and efficiently execute machine learning workflows while working in Python, Java, or Scala.