Powering Salesforce with Heroku and Xplenty
Did you know that you can use Heroku and Xplenty with Salesforce? While the Salesforce platform is plenty powerful on its own, you can supercharge it if you know what you’re doing.
Analytics
Iguazio Named A Fast Moving Leader by GigaOm in the 'Radar for MLOps' Report
At Iguazio, we’ve spoken and written at length about the challenges of bringing data science to production. The complexity of operationalizing ML can generate huge costs in terms of work hours and compute resources, especially as successful projects get scaled up and expanded. We’re proud to share that the Iguazio Data Science Platform has been named a fast moving leader in the GigaOm Radar for MLOps report.
Build interactive analytics in your React App with ThoughtSpot Everywhere
ThoughtSpot has revolutionized access to analytics for business users through search and AI. In addition to being a general purpose analytics tool that allows unprecedented access to business users, product builders can now use ThoughtSpot to deliver search-based analytics to customers. Today, we are launching a brand new SDK that allows you to embed ThoughtSpot into your own web app in literally minutes.
Building the Modern Analytics and BI Team
We are living in an unprecedented time driven by rapidly changing economic scenarios, the rise of digital native organizations and growing digital revolution, and the emergence of transformative business models. At the heart of much of this revolution is data. Organizations are collecting, analyzing, and mining data at an accelerated rate, creating new opportunities for powerful insights that deliver significant business impact.
Three reasons your cloud data warehouse needscloud analytics now
Today, just 24% of organizations say they've succeeded at becoming data-driven.* This is a challenge many data leaders are still struggling to solve despite increasing demand for data-driven insights from business users. Migrating to a cloud data warehouse is a good first step-and many have done so-but introducing new technology is not the same as ensuring adoption. To truly reap the benefits of your cloud data warehouse investment, you need an equally fast, scalable, and easy-to-adopt analytics solution to make your cloud data available to all.
Managing Python dependencies for Spark workloads in Cloudera Data Engineering
Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. If the users are already familiar with Python then PySpark provides a python API for using Apache Spark. When users work with PySpark they often use existing python and/or custom Python packages in their program to extend and complement Apache Spark’s functionality. Apache Spark provides several options to manage these dependencies.
New Connector: SAP Concur
Use our new SAP Concur integration for reliable, easy-to-use ELT for your financial analytics.
How to Avoid ELT & ETL Pitfalls
Don’t make costly mistakes as your business strives to make better use of data.
New Connector: Airtable
Bring disparate spreadsheets into your centralized analytics destination.
Reasons Why Cloud Migrations Fail & Ways to Succeed
Organizations are moving big data from on-premises to the cloud, using best-of-breed technologies like Databricks, Amazon EMR, Azure HDI, and Cloudera, to name a few. However, many cloud migrations fail. Why? And, how can you overcome the barriers and succeed? Join Chris Santiago, Director of Solution Engineering, as he describes the biggest pain points and how you can avoid them, and make your move to the cloud a success.