BIG DATA MANAGEMENT
SentinelOne | February 17, 2022
SentinelOne , an autonomous cybersecurity platform company, today announced the launch of DataSet, SentinelOne’s data analytics solution. Building upon the acquisition of Scalyr, DataSet expands beyond cybersecurity use cases delivering a limitless enterprise data platform for live data queries, analytics, insights, and retention.
SentinelOne’s Singularity XDR platform was purpose-built to autonomously defend against security threats by addressing cybersecurity as a data problem. Data sets power AI models which instantly determine if behaviors are benign or malicious. Individual data points, automatically linked, deliver machine-made contextualized storylines across the enterprise for visibility and response. EDR and XDR hunting queries provide curated data sets for threat hunters to outperform adversaries. Every aspect of SentinelOne’s autonomous cybersecurity is underpinned in data expertise. Our journey in delivering market-leading autonomous cybersecurity spans processing petabytes of data, growing at an exponential scale and doing so in real time.
“For cybersecurity to be effective, it must make split-second autonomous decisions because every millisecond matters. The way SentinelOne solves cybersecurity with data inspired us to apply our expertise beyond cybersecurity to a wide range of enterprise use cases. Our enterprise customers have the same data needs as SentinelOne - the ability to understand and action live data sets at speed. We’re announcing DataSet because we believe every business benefits from the power of understanding and acting on its data. Instantaneous, easy to use, and efficient understanding of a data set is the key to making better business decisions.”
Tomer Weingarten, CEO, SentinelOne
DataSet is a cloud-native flexible enterprise data platform built for all types of data – live or historical, at petabyte scale. By eliminating data schema requirements from the ingestion process and index limitations from querying, DataSet can process massive amounts of live data in real time, delivering log management, data analytics, and alerting with unparalleled speed, performance, and efficiency - built on a security and privacy-first foundation.
Entering the Data-Defined Era
“Distributed cloud infrastructure and containerized applications contribute to a vast amount of fast-moving data. The amount of data created in the next three years will be more than the data created over the past 30 years,” said Stephen Elliot, Group VP, Research IT, Cloud Operations, and DevOps at IDC. “The ability to cost-effectively analyze data at scale will become a necessity for every organization.”
Asana, Copart, TomTom and DoorDash selected DataSet to analyze all types of data from an unbounded time horizon – streaming and historical. CTOs, CIOs, engineering, and IT operations teams select DataSet, replacing Elastic and Splunk, to harness the power of their data. Legacy data solutions are expensive, slow, and unable to scale at the real-time pace business and technology demands. In the data-defined era, we believe enterprises who are able to leverage their data most effectively will win in their respective markets.
Market Adoption of DataSet
“With DataSet, our engineering, infrastructure and security teams have one single source of truth to make data-driven decisions. We no longer have to stitch context across teams and use cases,” said Joshua Danielson, Chief Information Security Officer at Copart. “DataSet enables us to act based on data, reduce time to detect and resolve anomalies, and maintain security posture.”
“Before DataSet, there was no central management of logs due to the diverse technologies at TomTom. Having to search multiple tools was holding us back, certainly during incidents,” said Carl Meert, Product Manager SRE and Observability at TomTom. “DataSet unifies all of our data from all sources. We are now much faster at detecting and responding to incidents.”
With the launch, SentinelOne has appointed Rahul Ravulur to lead DataSet. He brings more than 25 years of experience in building and operating enterprise products at scale, most recently leading product at Splunk. Ravulur will lead the DataSet business to accelerate market traction with leading data-driven enterprises.
“SentinelOne is taking a bold step to externalize its data expertise - to help all businesses unlock the power of their data,” said Ravulur. “With the launch of DataSet, we help organizations overcome the slow, costly legacy platforms that can’t handle the scalability requirements of tomorrow. DataSet is built for the future of data insights and action.”
SentinelOne’s cybersecurity solution encompasses AI-powered prevention, detection, response and hunting across endpoints, containers, cloud workloads, and IoT devices in a single autonomous XDR platform.
BigID | April 08, 2022
BigID, the leading data intelligence platform that enables organizations to know their enterprise data and take action for privacy, security, and governance, today launched Data Insights Studio, a new capability that provides rich and insightful reporting and analytics about the state of data across the entire organization.
Data Insights Studio gives privacy, security, and governance teams the power to create rich, insightful, and actionable reporting best suited for their organization and easily monitor relevant metrics to better assess the progress of their data initiatives. Data Insights Studio seeks to close the gap between insight and action so that teams have the speed to make the best decisions about their data.
BigID Data Studio enables organizations to know when and where to take action on their data through accurate reporting and analytics. Capabilities include:
Driving proactive executive decision-making with actionable insights about data security, privacy, and governance initiatives.
Actively monitoring trends, metrics, and important KPIs over time while also allowing for forecastability.
Empowering users through self-service, configurable reporting, and alleviating the burden off of IT admins.
Centralizing data intelligence holistically for organizations with global data footprints.
"Data Insights Studio brings a whole new meaning to data intelligence. We're giving customers the power to visualize their data like never before. We strongly believe that providing easy and customizable reporting of how metadata changes over time and across multiple sites, as well as an ability to analyze trends and monitor critical KPIs, is the key to facilitating and accelerating better data management and value on data across the organization."
Nimrod Vax, Co-Founder and Head of Product at BigID
Reporting can take on various forms and provides immense value to help illustrate the direction and progress of initiatives. Unfortunately, developing proper executive reporting that addresses the needs of an organization can be nuanced and cumbersome. IT teams are often required to manually create reports and analytics to fit their needs, a method that not only fails to scale well but also lacks proper speed and accuracy to drive the right decisions.
Data Insights Studio aims to close the gap between insight and action so that IT teams have the agility to act on their data with certainty.
BigID's data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. BigID has been recognized for its data intelligence innovation as a 2019 World Economic Forum Technology Pioneer, named to the 2021 Forbes Cloud 100, the 2021 Inc 5000 as the #19th fastest growing company and #1 in Security, a Business Insider 2020 AI Startup to Watch, and an RSA Innovation Sandbox winner.
Tableau Cloud | May 17, 2022
Today, at the annual Tableau Conference, Salesforce introduced Tableau Cloud, the fastest and easiest way for customers to get the full value of Tableau at enterprise scale. The offering is the next generation of what was formerly known as Tableau Online and includes new innovations to boost productivity by delivering intelligent, powerful and easy-to-use analytical tools to help anyone uncover insights and confidently make data-driven decisions. An integral part of the Salesforce Customer 360, Tableau empowers customers to surface and gain actionable insights from all their trusted data, creating a single source of truth, accessible anytime, anywhere.
Market volatility and widespread supply chain disruptions make it increasingly challenging for companies to contain costs and keep their businesses moving forward. Data can help manage these complexities and changes. For example, connected supply chains and production lines generate a wealth of data and customers expect real-time visibility into when goods will arrive. A recent McKinsey study found a strong correlation between the success of an organization's planning and adoption of advanced analytics. Data-driven supply chain management offers new ways to avoid disruption and respond to unforeseen circumstances with speed and confidence.
Tableau Cloud provides the leading analytics platform to meet customers where they prefer to operate their business. In fact, 70 percent of new customers choose Tableau Cloud over an on-premise or hybrid solution to power their analytics. Tableau also continues to offer self-managed solutions and is committed to providing customers the flexible options they need.
"Speed, ease of use and flexibility have been key differentiators for Tableau and the reasons why customers rely on us to help transform their business through data-driven decision making and increased efficiency, With Tableau Cloud, we're making it easier for our customers to drive even more analytics success. Tableau Cloud helps our customers deliver the analytics they need to their users, while we ensure the highest levels of trust, availability and performance."
-Francois Ajenstat, Chief Product Officer, Tableau at Salesforce.
As part of the launch, Tableau is working with Snowflake to provide an extended promotional trial which includes Tableau Cloud licenses for Snowflake customers and, subject to program requirements, Snowflake credits upon conversion to a Tableau Cloud customer.
New Tableau innovations delivers automated insights faster and more easily
Tableau leverages the leading natural language and augmented analytics capabilities to help everyone use data to drive meaningful decisions. Data Stories adds automated plain-language explanations to Tableau dashboards at scale, helping customers understand and interact with data faster. Automating the analysis, build and communication of insights from data in a modern, easy-to-understand story format eliminates the need to explain dashboards repeatedly, makes data more accessible to business users and helps increase analytics adoption across the enterprise.
Tableau is also expanding its Accelerators offering and the capabilities of the Tableau Exchange, a trusted hub of offerings that extend the Tableau Platform and help customers get faster time to value. Accelerators are ready-to-use, customizable dashboards that can be used across multiple industries, departments and enterprise applications to quickly deliver insights and value. Tableau now has more than 100 Accelerators on the Tableau Exchange, including those built by experts across the Tableau Partner Network, further expanding the unique use cases customers can apply.
The Tableau Exchange also features a new in-product capability, enabling customers to explore and use any offering from the Tableau exchange directly in the product without requiring a separate download. This keeps people in the flow and enables them to get the right solution when they need it.
New enterprise-ready capabilities to increase efficiency
Tableau is also introducing Advanced Management, which helps Tableau customers manage, secure and scale mission-critical analytics across the enterprise. Administrators can gain deep insight into adoption and performance, leverage advanced encryption capabilities to meet security requirements and gain increased capacity limits to ensure teams and individuals have access to relevant data. Examples include:
Customer-Managed Encryption Keys helps customers meet organizational compliance standards and add an additional layer of protection for their data.
Activity Log provides detailed event data to help administrators keep track of how individuals are using Tableau. It also enables permission auditing to better implement controls over an enterprise's deployment. And with Admin Insights, data is retained for up to one year to help track dataset usage, license adoption and visualization load times.
"Data is critical to delivering on the promise of leveraging mRNA science to create a new generation of transformative medicines for patients, Security, governance, scalability and manageability are important components of our overall data analytics strategy and we're excited to see how Advanced Management will make it easier and faster to optimize our deployment."
-Adam Mico, Principal, Data Visualization and Enablement at Moderna.
Bringing Einstein into Tableau delivers deeper insights across the Salesforce Customer 360
Tableau is also helping drive the Salesforce Customer 360 and empowering customers to fully leverage their data to gain actionable insights from their CRM data.
Powered by Einstein Discovery's artificial intelligence (AI) and machine learning (ML) technology, Tableau is helping people with domain expertise make better decisions faster and with more confidence. For example, Model Builder enables business teams to collaboratively build and consume predictive models, using the Einstein Discovery engine, without having to leave their Tableau workflows.
Infusing Einstein Discovery into CRM Analytics, the advanced analytics solution for CRM users, will help customers surface actionable insights directly in the Salesforce workflow:
Einstein Discovery: Text Clustering leverages machine learning (ML) models to extract keywords from large text fields to quickly reveal hidden insights and improve decision making.
Einstein Discovery: Bias Detection for multiclass models expands the use-cases for multi-class models by rooting out bias by variable, preventing the need to re-train an entire model.
Tableau's new capabilities will be available by the end of 2022
Tableau helps people see and understand data. Tableau offers visual analytics with powerful AI, data management and collaboration. From individuals to organizations of all sizes, customers around the world love using Tableau's advanced analytics to fuel impactful, data-driven decisions. For more information, please visit www.tableau.com.
Salesforce, the global CRM leader, empowers companies of every size and industry to digitally transform and create a 360° view of their customers.
Databricks | January 14, 2022
Databricks, the Data and AI company and pioneer of the data lakehouse architecture, today announced the Databricks Lakehouse for Retail, the company's first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks' Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. Early adopters of Databricks' Lakehouse for Retail include industry-leading customers and partners like Walgreens, Columbia, H&M Group, Reckitt, Restaurant Brands International, 84.51°(a subsidiary of Kroger Co.), Co-Op Food, Gousto, Acosta and more.
"As the retail and healthcare industries continue to undergo transformative change, Walgreens has embraced a modern, collaborative data platform that provides a competitive edge to the business and, most importantly, equips our pharmacists and technicians with timely, accurate patient insights for better healthcare outcomes," said Luigi Guadagno, Vice President, Pharmacy and HealthCare Platform Technology at Walgreens. "With hundreds of millions of prescriptions processed by Walgreens each year, Databricks' Lakehouse for Retail allows us to unify all of this data and store it in one place for a full range of analytics and ML workloads. By eliminating complex and costly legacy data silos, we've enabled cross-domain collaboration with an intelligent, unified data platform that gives us the flexibility to adapt, scale and better serve our customers and patients."
"Databricks has always innovated on behalf of our customers and the vision of lakehouse helps solve many of the challenges retail organizations have told us they're facing," said Ali Ghodsi, CEO and Co-Founder at Databricks. "This is an important milestone on our journey to help organizations operate in real-time, deliver more accurate analysis, and leverage all of their customer data to uncover valuable insights. Lakehouse for Retail will empower data-driven collaboration and sharing across businesses and partners in the retail industry."
Databricks' Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of powerful tools and partners for the retail and consumer goods industries. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization's data engineers and data scientists. Popular solution accelerators for Databricks' Lakehouse for Retail customers include:
Real-time Streaming Data Ingestion: Power real-time decisions critical to winning in omnichannel retail with point-of-sale, mobile application, inventory and fulfillment data.
Demand forecasting and time-series forecasting: Generate more accurate forecasts in less time with fine-grained demand forecasting to better predict demand for all items and stores.
ML-powered recommendation engines: Specific recommendations models for every stage of the buyer journey - including neural network, collaborative filtering, content-based recommendations and more - enable retailers to create a more personalized customer experience.
Customer Lifetime Value: Examine customer attrition, better predict behaviors of churn, and segment consumers by lifetime and value with a collection of customer analytics accelerators to help improve decisions on product development and personalized promotions.
Additionally, industry-leading Databricks partners like Deloitte and Tredence are driving lakehouse vision and value by delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases. Tailor-made for the retail industry, featured partner solutions and platforms include:
Deloitte's Trellis solution accelerator for the retail industry is one of many examples of how Deloitte and client partners are adopting the Databricks Lakehouse architecture construct and platform to deliver end-to-end data and AI/ML capabilities in a simple, holistic, and cost-effective way. Trellis provides capabilities that solve retail clients' complex challenges around forecasting, replenishment, procurement, pricing, and promotion services. Deloitte has leveraged their deep industry and client expertise to build an integrated, secured, and multi-cloud ready "as-a-service" solution accelerator on top of Databricks' Lakehouse platform that can be rapidly customized as appropriate based on client's unique needs. Trellis has proven to be a game-changer for our joint clients as it allows them to focus on the critical shifts occurring both on the demand and supply side with the ability to assess recommendations, associated impact, and insights in real-time that result in significant improvement to both topline and bottom line numbers.
Tredence will meet the explosive enterprise Data, AI & ML demand and deliver real-time transformative industry value for their business by delivering solutions for Lakehouse for Retail. The partnership first launched the On-Shelf Availability Solution (OSA) accelerator in August 2021, combining Databricks' data processing capability and Tredence's AI/ML expertise to enable Retail, CPG & Manufacturers to solve their trillion dollar out-of-stock challenge. Now with Lakehouse for Retail, Tredence and Databricks will jointly expand the portfolio of industry solutions to address other customer challenges and drive global scale together.
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.