The Rubber-Band Effect: How Organizations Are Catching Up To Themselves

In 2020, in response to the pandemic, we saw an urgent shift to SaaS and various emerging technologies. It was covered at length in “Introducing Trends 2021 – 'The Great Digital Switch'.” Largely driven by necessity, organizations needed to make drastic moves “to keep the lights on” and cater to operations in a more virtual and remote style. This big leap forward drastically changed the IT landscape and infrastructure in a lot of organizations.

Do you want to create and automate a digital marketing report?

When your marketing team manages a myriad of social media platforms (from Facebook to TikTok), it is hard to keep an eye on the ROI of your marketing efforts. Each platform comes with its own set of dashboards that provide marketing analytics. But the trends and insights from those dashboards are limited to each specific platform. Knowing how you performed on Google Ads tells you very little whether you should increase your Facebook advertising expenditures.

Watch now: 3 secrets CROs need to know before going to market

Taking a product, service, or even company to market is the fulcrum that can tip the scales to success or failure for the entire organization. In this session from SaaStr Annual 2021, Talend CRO Ann-Christel Graham will lay out strategies that have shaped Talend's own path to transformation: the focus on continuous and maniacal research and validation of customer needs, focus on the customer lifecycle in its entirety to help create predictable revenue, and the need to plan for scale.

How to Transfer Data from Postgres to Salesforce

While Salesforce is an excellent tool for storing and managing information about your contacts, leads, accounts, and other metadata pieces, the power of the system lies in its ability to integrate with other applications. One particularly powerful integration comes from integrating data in a Postgres database into Salesforce. Read on to learn more about Heroku Postgres, Salesforce, and how to transfer data most efficiently.

Admission Control Architecture for Cloudera Data Platform

Apache Impala is a massively parallel in-memory SQL engine supported by Cloudera designed for Analytics and ad hoc queries against data stored in Apache Hive, Apache HBase and Apache Kudu tables. Supporting powerful queries and high levels of concurrency Impala can use significant amounts of cluster resources. In multi-tenant environments this can inadvertently impact adjacent services such as YARN, HBase, and even HDFS.