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Talend Acquires Gamma Soft, a Market Innovator in Change Data Capture

Talend | April 11, 2022

Talend, a global leader in data integration and management, announced today it has acquired Gamma Soft, a market innovator in change data capture (CDC). The addition of Gamma Soft's highly complementary, enterprise-class change data capture technologies will help customers streamline their data modernization initiatives, including cloud migrations, and support advanced, real-time analytics use cases across hybrid and multi-cloud environments.

Today, many organizations rely on brittle, hand-coded integrations, or rely on multiple data management tools with redundant capabilities across integration, replication, modeling, preparation, quality, cataloging, and governance. With the combination of Talend and Gamma Soft, data professionals will be able to solve more use cases that require support for quickly changing data faster and easier than ever on a single end-to-end solution.

"We are thrilled to welcome the talented Gamma Soft team to Talend. Complementary to our product portfolio, Gamma Soft deepens our already comprehensive integration capabilities and gives us new functionality for enabling advanced, real-time business insight. More broadly, Gamma Soft extends the value we provide customers in helping them quickly build, continually monitor, and easily optimize enterprise-wide data health."

Christal Bemont, CEO, Talend

Headquartered in Paris, France, Gamma Soft helps companies continuously track and replicate changed data in real time from a source, such as data warehouses, data lakes, and other databases, to a destination without requiring the entire data set to be extracted. This process provides multiple benefits, including streamlining and accelerating cloud data migration projects and enabling real-time business optics to drive everything from supply-chain optimization to fraud detection.

"Change data capture technologies offer speed, accuracy, and agility in data replication that can help businesses successfully optimize their real-time analytics and cloud migration initiatives," said Stewart Bond, Research Director, IDC. "According to our recent market forecast, taking control of dynamic data is a high priority for companies that need to continue their digital transformation and plan for digital resiliency. Bringing Gamma Soft into Talend's product portfolio is a great add for Talend and for its customers."

Véronique Goussard, general manager, Gamma Soft said, "Joining Talend is a great fit from a product and cultural perspective for Gamma Soft and for our customers. Talend will help take our CDC capabilities to the next level and provide customers with a single, end-to-end solution to successfully execute on data strategies that rely on quickly capturing changing data for analysis in cloud, hybrid or multi-cloud implementations."

About Talend
Talend, a leader in data integration and data management, is changing the way the world makes decisions.

Talend Data Fabric is the only platform that seamlessly combines an extensive range of data integration and governance capabilities to actively manage the health of corporate information. This unified approach is unique and essential to delivering complete, clean, and uncompromised data in real-time to all employees. It has made it possible to create innovations like the Talend Trust Score™, an industry-first assessment that instantly quantifies the reliability of any data set.

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Understanding User Entity and Behavior Analytics (UEBA)

User Entity and Behavior Analytics (UEBA) is a cybersecurity technology and approach that focuses on analyzing the behavior of users and entities (such as devices, applications, and systems) within an organization's IT environment. By using advanced data analytics, machine learning algorithms, and artificial intelligence, UEBA aims to detect and prevent cyber threats by identifying anomalies, deviations, or patterns in user and entity activities that might indicate potential security risks.

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Business Intelligence, Big Data Management, Big Data

SQream Expands its End-To-End Low-Code Analytics Platform with Flex Connector AI Assistant

PR Newswire | August 17, 2023

SQream, the scalable data analytics company built for massive data stores and AI/ML workloads, announced today that its low-code ELT and analytics platform Panoply, is launching an AI Flex Connector helper which leverages generative AI to streamline the path to business intelligence. This tool will make it even easier for users to collect all of their business data - from CRMs, user applications, and other tools - into one single source, and further minimize the technical requirements to generate quick data insights. While there are multiple ingestion tools already on the market, these tools are often limited in terms of which data sources can connect with them. Released in April 2023, Panoply's Flex Connector has enabled greater platform flexibility by supporting connections to any RestAPI or GraphQL data source. The Flex Connector currently requires users or the Panoply Customer Success team to sift through multiple API documents to find the configuration that meets their needs, but the new Flex Connector AI helper takes these capabilities to the next level by removing this manual process and instead relying on generative AI to complete the required research. This will enable users to skip the majority of the steps previously required and provide a working configuration that analysts will then customize with minimal information (authentication details, domain names, dates etc.). "We're excited about the future of AI in data and how it can make data in general even simpler to use and more accessible for non-technical users," said Ittai Bareket, GM of SQream Americas and Panoply. "With our upcoming AI focused product enhancements, we're looking to automate and outsource the more technical and time consuming aspects of gaining insights from your data." The new feature is prompted by Open AI LLM models, which are deployed on Microsoft Azure and enable applications built on top of the LangChain framework, allowing users to switch between models in the future. The user provides two parameters to prompt the tool to scan the web for the most up-to-date API documentation of the selected service, and within it all the requirements needed to extract the selected resource. About Panoply by SQream Panoply's managed data warehouse plus ELT and dashboards make it easy for users to sync, store, access, and visualize their data without complex code. Panoply is a product line of SQream, a data analytics company that helps organizations break through barriers to ask the biggest, most important questions from their data. SQream's GPU-based technology empowers businesses to overcome dataset limits and query complexity to analyze exponentially more data, and get substantially faster insights at dramatic cost-savings. By leveraging SQream's advanced analytics capabilities for AI/ML, enterprises can stay ahead of their competitors while reducing hardware usage. If you want to take your data initiatives to the next level, Ask Bigger and unlock new opportunities with SQream. About SQream SQream is a data analytics company that helps organizations Ask Bigger by providing them with accurate insights at a lower cost. Our unique technology empowers businesses to analyze exponentially more data, and get substantially faster insights at dramatic cost-savings. By leveraging SQream's advanced analytics capabilities, organizations are able to stay ahead of their competitors while reducing hardware usage. If you want to take your data exploration to the next level, Ask Bigger and unlock new opportunities with SQream.

Business Intelligence, Big Data Management, Business Strategy

Privacera Unveils Governed Data Stewardship Solution to Power Data Democratization and Federate Data Governance

Prnewswire | July 19, 2023

Privacera, a leading provider of data security and governance technology, today announced the launch of its Governed Data Stewardship solution and significant ease of use improvements. This innovative offering transforms how IT organizations distribute data ownership and stewardship into lines of business to speed up self-service data sharing and access governance. By eliminating a significant IT bottleneck, Privacera reduces IT complexity and cost, reduces the volume of service desk tickets, increases business agility, and keeps data safe and well-regulated. "We have heard from our customers repeatedly that managing and provisioning secure data access is a major unsolved pain point," said Balaji Ganesan, CEO and Co-Founder. "Analytical and AI initiatives require agile data sharing and fine-grained access provisioning. We are excited to empower organizations with a more democratized experience, one that offers enhanced data governance offerings decreases IT burdens, and accelerated data access while maintaining utmost security and compliance throughout the data estate." Outdated Models Hamper Business Results Historically, business users have created IT service management tickets when they want access to data. A typical approval process might require four to five different levels of approval, and upon final approval, IT administrators are tasked to manually create the required policy controls for each back-end system. This lengthy process takes time and resources and invites complexity and unfortunate opportunity for requests to fall through the cracks. Additionally, with the volume of data request tickets across a diverse multi-cloud data estate, the above approach is costly and the last mile needs to be managed by IT. It is highly inefficient to manage access to data on an account-by-account, workspace-by-workspace, or instance-by-instance basis because it often involves different IT experts. And this problem compounds as data and datasets expand at a geometric rate. "As I look at the modern data environment, a key element is making it all work better together with the goal of accelerating the time to business and data insight," said Stewart Bond, Research Vice President, IDC. "But appropriate and timely data access has been a roadblock between data discovery and consumption; once a data consumer has discovered relevant data in a catalog or marketplace, the acquisition of data is where the process slows down. It is akin to someone shopping online, checking out, and then nothing happens, because there is no automated connection to the delivery mechanism. What Privacera is doing with Governed Data Stewardship is eliminating the complexity and time of running a data access request through a service management system. This empowers businesses' data initiatives to actually get more value from marketplaces and catalog initiatives." A Revolutionary Approach to Data Access Privacera's Governed Data Stewardship solution, built on our industry-leading Unified Data Security Platform, delegates the granting of access function to data custodians and stewards who possess a deep understanding of the data, promoting business ownership and agility while maintaining global and centralized security guardrails. Comprehensive controls can be added to ensure consistent enforcement of corporate-level data security and access integrated with third-party workflows and data catalogs such as Collibra or Alation. As these stewards are much closer to data and data risks, this methodology supports the entire data access process and ensures prompt and secure data provisioning. The solution offers best-in-class ease of use, simplifying the complex tasks of data and privacy management. The user-friendly interface allows for intuitive navigation and seamless interaction reducing the burden on data stewards and enabling them to focus on their core responsibilities. Even users with limited technical expertise can effectively implement and enforce data governance policies, fostering a culture of privacy and compliance within organizations. Companies that work to adopt this new model of Governed Data Stewardship will reap numerous benefits. They gain access to their data more quickly, costs are reduced, data products are industrialized, and faster times to insights is achieved. Data security posture is also improved by ensuring data is being used for the right purpose, eliminating data proliferation, and establishing centralized auditing. Complex Data Workflows Managed Effortlessly Organizations that need more complex data workflows with a Privacera-provided API can utilize the power of a service management ticketing system workflow. Here users discover datasets. When they request access to data, an API is invoked that shares with the service management system, the data being requested, and the relevant data steward for that data. The ticket can be automatically routed initially to the appropriate data steward and any additional predefined approvals. When final approval is given, the ticketing system connects, and data is automatically provisioned. "Governed Data Stewardship, from Privacera, is the ultimate power tool for business data authority," said Bob Seiner. President and Principal, KIK Consulting. "Say goodbye to IT or bureaucratic bottlenecks and hello to data liberation! Privacera's Governed Data Stewardship solution empowers business communities and decision-makers by uncovering insights and conquering data access obstacles with a single click." Additional solution benefits include: IT Data Bottlenecks Eliminated: Businesses receive data faster because data provisioning time is reduced. Reduction of IT Costs: The complexity and cost of managing data access is lessened. Business Agility Empowered: Data stewards who know the data and the context are enabled to manage access at the speed of business. Security Posture Improved: Data is used only for the right purposes. The management of data is transferred to data stewards who understand the data risks for their function and business area. "Governed Data Stewardship empowers data stewards to act as custodians of data access while IT teams focus on value generation. 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About Privacera Founded in 2016 by the creators of Apache Ranger™–which advanced data access and security for the big data revolution, Privacera's SaaS-based data security and access governance platform enables data and security teams to simplify data access, security, and privacy for data applications and analytical workloads. The Privacera platform supports compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a unified view and control for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Snowflake, and Starburst. The Privacera platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, and consumer industries, as well as government agencies to automate sensitive data discovery, mask sensitive data, and manage high-fidelity policies at petabyte scale on-premises and in the cloud.

Data Visualization

Salesforce Unveils Einstein 1 Platform: Transforming CRM Experiences

Salesforce | September 14, 2023

Salesforce introduces the groundbreaking Einstein 1 Platform, built on a robust metadata framework. The Einstein 1 Data Cloud supports large-scale data and high-speed automation, unifying customer data, enterprise content, and more. The latest iteration of Einstein includes Einstein Copilot and Einstein Copilot Studio. On September 12, 2023, Salesforce unveiled the Einstein 1 Platform, introducing significant enhancements to the Salesforce Data Cloud and Einstein AI capabilities. The platform is built on Salesforce's underlying metadata framework. Einstein 1 is a reliable AI platform for customer-centric companies that empowers organizations to securely connect diverse datasets, enabling the creation of AI-driven applications using low-code development and the delivery of entirely novel CRM experiences. Salesforce's original metadata framework plays a crucial role in helping companies organize and comprehend data across various Salesforce applications. This is like establishing a common language to facilitate communication among different applications built on the core platform. It then maps data from disparate systems to the Salesforce metadata framework, thus creating a unified view of enterprise data. This approach allows organizations to tailor user experiences and leverage data for various purposes using low-code platform services, including Einstein for AI predictions and content generation, Flow for automation, and Lightning for user interfaces. Importantly, these customizations are readily accessible to other core applications within the organization, eliminating the need for costly and fragile integration code. In today's business landscape, customer data is exceedingly fragmented. On average, companies employ a staggering 1,061 different applications, yet only 29% of them are integrated. The complexity of enterprise data systems has increased, and previous computing revolutions, such as cloud computing, social media, and mobile technologies, have generated isolated pockets of customer data. Furthermore, Salesforce ensures automatic upgrades three times a year, with the metadata framework safeguarding integrations, customizations, and security models from disruptions. This enables organizations to seamlessly incorporate, expand, and evolve their use of Salesforce as the platform evolves. The Einstein 1 Data Cloud, which supports large-scale data and high-speed automation, paves the way for a new era of data-driven AI applications. This real-time hyperscale data engine combines and harmonizes customer data, enterprise content, telemetry data, Slack conversations, and other structured and unstructured data, culminating in a unified customer view. Currently, the platform is already processing a staggering 30 trillion transactions per month and connecting and unifying 100 billion records daily. The Data Cloud is now natively integrated with the Einstein 1 Platform, and this integration unlocks previously isolated data sources, enabling the creation of comprehensive customer profiles and the delivery of entirely fresh CRM experiences. The Einstein 1 Platform has been expanded to support thousands of metadata-enabled objects per customer, each able to manage trillions of rows. Furthermore, Marketing Cloud and Commerce Cloud, which joined Salesforce's Customer 360 portfolio through acquisitions, have been reengineered onto the Einstein 1 Platform. Now, massive volumes of data from external systems can be seamlessly integrated into the platform and transformed into actionable Salesforce objects. 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