BIG DATA MANAGEMENT
Privacera, the unified data access governance leader founded by the creators of Apache Ranger™, today announced that its customer, Sun Life, leveraged Privacera's data access governance to rapidly migrate to AWS and automate data management, fine-grained data access control, and compliance across its Amazon EMR, Amazon S3, and on-premises Hadoop environments. Additional details of the engagement can be found here.
As a leading international financial services organization, Sun Life holds a vast amount of sensitive customer data and personally identifiable information (PII). The organization deployed Privacera to migrate its on-premises data to AWS – while maintaining its existing Apache Ranger data access policies – without introducing any security, privacy, or compliance risks.
More specifically, Privacera provided Sun Life:
Rapid Migration of 4,000+ Access Policies - Privacera accelerated AWS cloud migration by enabling Sun Life to leverage its existing Apache Ranger data access policies and automatically implement them in the cloud, removing the need for its data or IT teams to manually rewrite policies.
Unified Data Visibility Across Multiple Data Sources - Privacera provides a unified view of Sun Life's sensitive data, both on-premises and across all 200 Amazon EMR nodes, Amazon S3, and on-premises Hadoop environments from a single interface. This enables detailed visibility of how sensitive data is accessed and used across all of Sun Life's data sources.
Automated Compliance with IFRS and More - Privacera's fine-grained access controls, role-based and attribute-based policies, and automated compliance workflows control access to data across all of Sun Life's data sources, ensuring data is used only by authorized users. This allows Sun Life to easily prove compliance with industry regulations like International Financial Reporting Standards (IFRS).
Faster Data Insights with Reinforced Data Security - Privacera enables Sun Life data administrators to grant access to data requests with one click, ensuring data scientists and analysts have rapid, self-service access to data to drive faster analytics and business insights without risking unauthorized access or compliance violations.
Reduction of Manual Processes from Weeks to Days - Privacera's consistent, fine-grained access controls and automated access requests reduce the time it takes for Sun Life's data administrators to grant bulk access to data from 3-4 weeks to 1-2 days, increasing overall operational productivity.
"Because Apache Ranger is critical to the success of our entire analytics platform, so is Privacera as it allows us to capitalize on existing technology and deliver critical data to our analytic teams quicker. Our goal was to get our data into a data lake as quickly as possible and then apply access rules so approved Sun Life professionals can actually use the data to generate important insights. Requests that used to take three to four weeks to program can now be reacted to in less than two days."
Don Geukers, Director of Cloud Infrastructure & Operations at Sun Life
Privacera's SaaS-based data security and governance platform enables analytics teams to access data without compromising compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a single pane of glass for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Starburst and Snowflake. Privacera's platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, consumer industries and federal agencies/government to automate sensitive data discovery and easily manage high-fidelity policy management at petabyte scale on-prem and in the cloud. Headquartered in Fremont, California, Privacera was founded in 2016 by the creators of Apache Ranger™.
BIG DATA MANAGEMENT
Octopai, the leader in automated data lineage, data catalog and data discovery, announced today its support and analysis of Amazon Redshift, one of the fastest and most widely used cloud data warehouses. The new coverage of Amazon Redshift will further enable enterprises to migrate to the cloud seamlessly and manage complicated BI landscapes from one platform.
Moving to the cloud has become inevitable for many enterprises, but the management of cloud processes is creating new challenges for the BI & Analytics teams, especially in hybrid environments that are still using on-prem systems as well. Octopai’s Data Intelligence Platform enables BI groups to tackle these challenges head-on by centralizing all data and metadata from multiple systems into one centralized platform in order to provide the most in-depth analysis, end-to-end multilayered data lineage and discovery.
“Migrating data from legacy systems to Amazon Redshift can traditionally take several years to complete, but Octopai’s support of Redshift cuts the process down to a few weeks, enabling companies to migrate much more easily and more confidently. We’re constantly working to support more BI systems in order to provide maximum coverage and seamless transparency of different technologies so that our customers can get the whole story behind their data.”
Gal Ziton, Co-Founder and Head of Product of Octopai
Octopai saves time and resources during the process of migration from on-prem/legacy systems to Amazon Redshift. Prior to migration, Octopai can also provide mapping of objects so enterprises can see what needs to be transferred to the cloud and what doesn’t, reducing the time and cost of migration.
Octopai’s Data Intelligence Platform provides cost savings to enterprises using Amazon Redshift (which uses a pay per hour model), from the migration phase all the way to day-to-day use. By getting the full picture of what and how different tables, columns etc. are being used, Octopai decreases the number of exploration queries over the Amazon Redshift platform, which directly reduces expenses.
Octopai’s support and analysis of Amazon Redshift is unique because it provides:
Detailed coverage with full visualization as part of the entire BI ecosystem.
Full alignment of Octopai’s data flow lineage with the detailed Amazon Redshift metadata repository, including any object defined in an Amazon Redshift database.
End-to-end lineage from the legacy/operational system to report analysis, simplifying insight into and through Amazon Redshift along with all other layers of the company BI ecosystem.
Octopai is committed to providing enterprises with a multilayered lineage approach to Business Intelligence to create simplicity and automation in a complex data environment. Octopai’s mission is to provide organizations with the intelligence they need to view their entire BI & Analytics landscapes, enabling them to gain easy access, control and visibility of their data.
Octopai was founded in 2015 by BI professionals who realized the need for advanced and technology-based solutions in a growing market. Octopai’s SaaS platform provides organizations the intelligence they need about their entire BI & Analytics environment and equips them with the best automated Data Lineage, Data Discovery, and Catalog solutions that are needed, so business users can get access to data and ensure that data is trusted.
BIG DATA MANAGEMENT
Alteryx, Inc. , the Analytics Automation company, today announced that it has acquired Silicon Valley-based Lore IO, a no-code AI-enabled data modeling platform that rapidly deploys analytics that adapt easily within a changing business environment. The acquisition of Lore IO provides Alteryx with the talent and technical know-how to leverage cloud-native, elastic compute within Alteryx Designer Cloud and Alteryx Machine Learning, allowing customers to analyze large datasets for actionable self-service insights.
"Lore IO brings a talented and tenured team that has decades of combined experience building mission-critical, cloud and analytics applications to increase big data fluency that enables customers to rapidly deploy analytics. Integrating Lore IO's technology and talent aligns with our ambitious innovation agenda to allow enterprises to unlock the value of their data, uncovering business insights no matter how complex their datasets are or where the data resides."
Mark Anderson, chief executive officer at Alteryx
"Alteryx makes analytics and data science easy, which is why customers love it so much. As more enterprises move their data to the cloud, Lore IO's mission to leverage cloud-specific capabilities to make data management accessible and easy for business users is a natural fit with the Alteryx platform," said Digvijay Lamba, founder and chief executive officer of Lore IO. "By bringing our teams together, we'll enable our customers to make business-critical decisions with faster access to bigger and more diverse datasets. The Lore IO team and I are excited by the possibilities of what we can do together with Alteryx."
Lore IO was founded by veterans of Walmart Labs, who have decades of combined experience building scalable data infrastructure. The management team has deep expertise in product and engineering for large scale infrastructure, big data, machine learning and analytic and cloud applications.
"Now more than ever before, our customers across all industries need to analyze large datasets in both on-premises and in cloud repositories, as well as cloud data warehouses," said Suresh Vittal, chief product officer of Alteryx. "The acquisition of Lore IO provides our team the IP and assets to enhance Designer Cloud and Alteryx Machine Learning offerings through cloud-based data modeling and smart query pushdown into cloud data sources."
Alteryx, the Analytics Automation company, is focused on enabling every person to transform data into a breakthrough. Alteryx unifies analytics, data science and business process automation in one, end-to-end platform to accelerate digital transformation and shape the future of analytic process automation (APA). Organizations of all sizes, all over the world, rely on Alteryx to deliver high-impact business outcomes and the rapid upskilling of their modern workforce.