Today we’re announcing preview availability of a new public dataset for Google Trends. For the first time we’re bringing Google-owned Search data into Google Cloud Datasets for convenient analysis in BigQuery, or through your favorite business intelligence tools.

Google’s cloud data warehouse, BigQuery, has enabled organizations around the world to accelerate their digital transformation and empower their data analysts to unlock actionable insights from their data. Using BigQuery ML, data analysts are able to create sophisticated machine learning models with just SQL and uncover predictive insights from their data much faster.

It’s no secret that there has been massive disruption across global supply chains over the past year. In fact, 94% of Fortune 1000 companies have stated that they are facing supply chain disruptions from COVID-19. Many factors have conspired to drive disruption, leading to increased costs and delays for many industries and ultimately impacting the prices that companies and consumers pay for goods.

With news of a devastating data breach constantly in the headlines, you need to take proactive steps to safeguard the personally identifiable information (PII) that your organization stores and processes. Along with techniques such as PII masking, PII pseudonymization is one of the most popular and practical ways to protect sensitive data. But what is PII pseudonymization, exactly, and how can you pseudonymize PII? We’ll answer these questions and more in this article.

DreamFactory specialises in REST API generation for any number of database types however an underrepresented benefit is the ability to mount and manage any third party API via a HTTP service connector. This gives you the ability to generate documentation and secure an existing API as if it were created natively within DreamFactory.

In today’s digital age, keeping up with market trends is exactly what a business has to do to stay ahead. Creating a solid online brand image plays a key role in this task, and to do it, dedicated SEO efforts go a long way. Crafting targeted keywords that can direct traffic to your webpages can work wonders in capturing a widespread customer base. Now what if we were to tell you that instead of doing everything manually, you could rely on an automated tool to take care of things?

The focus of OctoPerf 12.4 is on integrations, first in regards to creating test scripts through our new Postman import released a few weeks ago. Through postman we also open OctoPerf to swagger and open API imports. Microsoft Teams is also on the menu in terms of alerting before/after the tests, but the main dish is the backend listeners. Through these you can have our load generators send metrics to your own database in real time during the test.

With the advent of agile and DevOps culture, we’re already embracing digital transformation. Organizations globally are looking for newer technologies and tools to innovate, enhance productivity and deliver faster. If we talk about testing itself — automation has taken us several leaps ahead; QA teams have solidified test efficiency and coverage even further. Gone are the days when automation testers had to learn coding to write test scripts.

MarketQuest (2021) predicts automation testing to grow at a Compound Annual Growth Rate (CAGR) of 9.8% for the next five years. Globally, organizations across banking, retail, automotive, healthcare, etc., amongst others will embark on automation. Picture Credit: Zeus.ai That brings us to the crux of our conversation — codeless test automation. What is it, and why do we need it?

Two data experts share their journeys toward better customer engagement, fueled by faster access to more data.