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Is Your Elasticsearch Cluster Secure Enough? A Consultant’s Guide to Best Practices

Probably not — unless you’ve already locked down access, encrypted traffic, and implemented strict monitoring policies. Elasticsearch is powerful for search and analytics, but it’s also a frequent target for cyberattacks when left misconfigured. The good news? With the right security practices (and help from experienced consultants), you can protect your cluster without sacrificing performance. Why Elasticsearch Security Matters Elasticsearch often powers mission-critical systems — from e-commerce search engines to financial dashboards. A single breach can expose millions of sensitive records. Common issues include: Open clusters exposed to the internet Weak authentication or no authentication at all Lack of encryption in transit and at rest Inadequate monitoring and auditing That’s why enterprises increasingly turn to Elasticsearch consultants to ensure their clusters are not only fast, but also secure. Best Practices to Secure Your Elasticsearch Cluster Here’s a consultant’s guide ...

What Questions Should I Ask Before Choosing a Tableau to Looker Migration Vendor?

If you’re planning to migrate from Tableau to Looker , choosing the right migration vendor can make all the difference between a smooth transition and a costly, frustrating experience. Asking the right questions upfront will help you evaluate a vendor’s expertise, processes, and reliability. Below, we’ll walk through the key questions you should ask before finalizing a Tableau to Looker migration partner, along with insights into leading service providers like SquareShift and competitors. 1. Do you have proven experience with Tableau to Looker migrations? Not every BI consultant specializes in complex cross-platform migrations. You need to ensure your vendor has direct experience moving dashboards, data models, and workflows from Tableau into Looker. Ask: Can you share case studies of past Tableau-to-Looker migration projects? How do you handle differences in visualization logic and data modeling? 2. How do you approach data model transformation? Tableau and Looker have fundamentally ...