Systems | Development | Analytics | API | Testing

Martin Gardner - A Pattern for Salesforce Data Migration

A Pattern for Salesforce Data Migration A talk by Martin Gardner Solution Principal, Slalom Consulting Migrating data into and out of Salesforce orgs can be very difficult. In this talk I present a pattern for successfully planning and executing a data migration between two Salesforce orgs while avoiding some of the pitfalls and gotchas that catch out the unwary. I will discuss the four key features of a data migration project and how to apply these concepts to a migration between two Salesforce orgs.

Relational vs non-relational database: Which one should you use?

Ever since E. F. Codd introduced the first relational model for storing data at IBM in 1970, the industry has picked up the database technology and used it for its competitive advantage. The relational database management system - or RDBMS - was the default technology for storing and accessing data for a long time. It supported transactional data storage, the building of data products, and was the go-to model for data that was used in data-driven decisioning.

"So, How Do We Make This Work?" - Tracking Employee COVID Vaccination and Testing in As Little As 15 Minutes

With COVID-19’s ever-changing conditions – growing infection rates, shifting and new vaccine mandates, variant outbreaks and office closures and re-openings – HR has stepped up and taken on a significant role in helping organizations navigate every employee’s personal and work life needs. COVID-19 accelerated the evolution already underway in HR, with HR growing beyond being a policy and procedure hub into a strategic business partner.

Cloud Costs Through the Roof? Don't Worry - We've Got You Covered

Does it feel like your business is paying too much for cloud services? You are not alone. Cloud costs are expected to increase at a compound annual growth rate of 10.5% to 13.1% through 2025, according to the International Data Corporation (IDC). While getting a handle on those cloud costs may be tricky, you don’t have to worry — we’ve got you covered.

Speed Up Your Data Flow for Business Results

A slow car has never won a Formula One race. The Olympics doesn’t reward slow times in swimming, track or any other clock-timed sport. Likewise, slow data speeds don’t win over customers or colleagues in the real-time business world. Microsoft’s own research once reported that a person visiting a website on a connected device is likely to wait no more than 10 seconds to see it before moving to a competitor’s site.

Everything You Need to Know About API Integration

APIs are powerful for ETL (extract, transform, load) and data integration workflows. API integrations make it possible for the seamless exchange of information between websites, databases, and applications. The Xplenty API allows you and your enterprise to monitor Xplenty clusters and jobs. Through the Xplenty data processing package and Xplenty web application, you can call the Xplenty API to.

Unlocking Data Literacy Part 1: How to Set Up a Data Analytics Practice That Works for Your People

Does your team know how to use data analytics to their advantage? For the vast majority of companies, the answer may be “no.” According to Accenture, only 21% of people are confident in their data literacy skills, and just 32% of companies have realized tangible, measurable value from their data. While the definition of data literacy varies depending on who you ask, at its core, the term means equipping anyone in your organization to know how to use data in a business context.

What Are the Limitations of Dashboards?

For modern businesses faced with increasing volumes and complexity of data, it’s no longer efficient or feasible to rely on analyzing data in BI dashboards. Traditional dashboards are great at providing business leaders with insights into what’s happened in the past, but what if they need actionable information in real time? What if they want to use their data to estimate what may happen in the future? Companies are taking notice.

How to Easily Apply Analytics to Product Development Management

The development of a digital product has been redefined to involve only 4 phases, as TCGen and Product Plan propose: However, having an easier-to-follow process is not the only improvement that you can implement: cost and time efficiency can be taken a huge step further when you incorporate analytics insights. So, with this infographic, we propose some tools that can help you analyze data sets to enrich the phases of each development process.

ThoughtSpot SpotApp for Snowflake Performance and Consumption Analytics

This SpotApp will have you up and running in minutes with search and AI-driven analytics from ThoughtSpot around your Snowflake Data Cloud performance and consumption. The SpotApp enables financial controllers to drill into credit consumption trends to proactively manage their cloud spend. And IT Ops teams will be able to dive into granular details about query performance to ensure that their data clouds are running at full speed.