Managed Data Lake Creation with Qlik
With a fully automated approach to end-to-end data lake creation, Qlik accelerates ROI –enabling you to drive agility, speed, and innovation in your business.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Worksheet Best Practices - ThoughtSpot Success Series #5
Introducing the ThoughtSpot Success Series! Want to expand your knowledge of ThoughtSpot? Want to learn some great tips and tricks? Join ThoughtSpot's Customer Success team and other users like yourself as we discuss various topics in our new Success Series. During this event, we'll share how to build a ThoughtSpot use case pipeline that allows you to maximize the value return on investment & maintain momentum.
BI Compliance: Can a Restructure Deliver Enhanced Data Privacy?
Every data-driven business is terrified of the prospect of a data breach. Exposing sensitive data could mean reputational damage, loss of clients, and heavy fines under emerging privacy laws. But every data-driven business also wants to make use of its data. Business intelligence (BI) platforms allow anyone to build complex and detailed dashboards that help them understand the organization’s current state. How do you resolve this tension? One approach is to build a privacy-first data structure.
ELT: Easy to Deploy, Easy to Outgrow
Extract, load, transform (ELT) technology is a type of data pipeline that ingests data from one or more sources, loads the data into its destination (typically a data lake), and then allows end-users to perform ad-hoc transformations on it as needed. ELT can perform mass extraction of all data types, including raw data, without the need to set up transformation rules and filters before data loading.
Validations - Cloudera Support's Predictive Alerting Program
Cloudera Support’s cluster validations proactively identify known problem signatures contained in customers’ diagnostic data with the goal of increasing cluster health, performance, and overall stability. Cluster validations are included in a customer’s enterprise subscription at no additional cost. All customers with access to the Support case portal will also be able to take advantage of cluster validations.
Fast Forward Live: Session-based Recommender Systems
Join us live with Fast Forward Labs to discuss the recently possible in Machine Learning and AI. Being able to recommend an item of interest to a user (based on their past preferences) is a highly relevant problem in practice. A key trend over the past few years has been session-based recommendation algorithms that provide recommendations solely based on a user’s interactions in an ongoing session, and which do not require the existence of user profiles or their entire historical preferences. This report explores a simple, yet powerful, NLP-based approach (word2vec) to recommend a next item to a user. While NLP-based approaches are generally employed for linguistic tasks, here we exploit them to learn the structure induced by a user’s behavior or an item’s nature.
Future of Data Meetup: The Power of "Yes" or: How I learned to Stop Worrying and Love Governance
Full data lifecycle projects hold tremendous potential for organizations to uncover new insights and drivers of revenue and profitability. Big Data has brought the promise of doing device data capture, data enrichment, data science, and analytics at scale to enterprises. This promise also comes with challenges for developers, admins, and consumers to continuously access new data and collaborate.
Data Transformation | Snowflake & Matillion | Rise of The Data Cloud
Data transformation, 2021 data trends, how Matillion is pushing the world of software forward, and how Matillion's partnership with Snowflake is advancing the industry, are some of the topics covered in this episode of Rise of the Data Cloud, featuring Matthew Scullion, Founder, and CEO of Matillion.
Realtime data replication into BigQuery with Datastream and Dataflow
How can you replicate data from a relational database in real time? In this video, we’ll show you you can combine Datastream with Dataflow templates to replicate data from a relational database. Watch to learn how you can use this streaming analytics service in unison with Datastream to easily replicate data from Oracle to BigQuery in real time!
New: 5 More Databox Integrations Now Support Custom Date Ranges
Five more integrations have been updated to support custom date range functionality in Databox.