DATA SCIENCE

Ascend.io Unlocks New Global Business Potential and Vastly Accelerates Data Engineering Timelines

Ascend.io | November 24, 2020

Ascend.io, the data engineering organization, today declared a huge international expansion of the Ascend Partner Program with the addition of a few key endeavor design warning and data consultancy partners. The Ascend Partner Program enlarges the Ascend Unified Data Engineering Platform with solutions and administrations curated to address the issues of present day venture business data ventures and to altogether quicken undertaking advanced transformation courses of events.

As the interest to separate bits of knowledge from deluges of data keeps on flooding, organizations are endeavoring to arrive at their computerized transformation goals by receiving data science, data examination, and data engineering at scale. While data pipelines are the shared factor for every one of these activities, the present status of data engineering has become the die-hard bottleneck to meeting the growing business need. Therefore, numerous undertakings are going to authority counsels and consultancies to redo their specialized methodologies and quicken the learning cycle.

A developing number of these warning and consultancy firms are currently handling another associate of data designers and planners whose mastery has advanced past existing ETL and orchestration strategies, to incorporate the Ascend Unified Data Engineering Platform. As opposed to assemble data stages without any preparation, these groups start their first day on the task previously making independent data pipelines that powerfully adjust to changes in data, code, and climate with 95% less code.

"Our partnerships are a vital part of Ascend.io's business and are instrumental to our growth strategy. Our global architecture and consultancy partners have had impressive early successes winning data projects and delighting their clients, proving that our innovative approach to solving today's data engineering challenges transcends industries and geographies," said Sean Knapp, CEO and founder of Ascend.io. "In leveraging Ascend's advanced data engineering capabilities, our partners amplify their greatest strengths – industry and data expertise – enabling faster delivery of transformative initiatives and driving even greater customer satisfaction."

About Ascend.io

Ascend.io, the data engineering company, provides the only unified platform for data pipelines with 10x faster build velocity and automated maintenance. Cloud data pipelines are the backbone of modern data systems and require a scalable approach to meet the exploding demand for new data initiatives. Evolving beyond traditional ETL tools, the cloud-native Ascend Unified Data Engineering Platform lets teams create autonomous data pipelines that dynamically adapt to changes in data, code, and environment. In a radical departure from existing data orchestration solutions that require excessive coding, Ascend democratizes data engineering. Data teams using Ascend can now ingest, build, integrate, run, and govern data pipelines with 95% less code. Ascend's DataAware™ intelligence uniquely observes, understands, and tracks every piece of data, enabling data pipelines to run at optimal efficiency with integrated lineage tracking, auditability, and governance. Ascend.io accelerates the journey from prototype to production and helps leading organizations achieve faster time to value. Freed from maintaining brittle pipelines, data teams can spend more time bringing innovations to life.

Spotlight

Big data are blossoming together with the hope to harness the knowledge they hide to solve the key problems of society, business and science. However, turning an ocean of messy data into knowledge and wisdom is an extremely challenging task. In this paper we put forward our vision of Big Data Analytics in Europe, based on the fair use of big data with the development of associated policies and standards, as well as on empowering citizens, whose digital traces are recorded in the data. The first step towards such objective is the creation of a European ecosystem for Big Data Analytics-as-a-service, based on a Federated Trusted Open Analytical Platform for Knowledge Acceleration. The goal is to yield a data and knowledge infrastructure providing to citizens, scientists, institutions and businesses


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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

EY announces alliance with Alteryx to help accelerate digital transformation through analytics automation

EY | November 28, 2022

The EY organization today announces an alliance between Alteryx, one of the leaders in analytics automation, and Ernst & Young LLP (EY US), to help organizations unlock the power of data through automation and digital transformation. Most organizations face inefficiencies and increased costs when carrying out day-to-day business and back-office operations. As they undergo digital transformation efforts, they tend to devote more time to data manipulation than to data analysis. As a result, revisiting and updating their existing technologies to improve data literacy throughout the organization becomes critical to achieve their transformation goals. The EY–Alteryx Alliance will help clients across various sectors optimize data-driven processes by generating valuable insights to deliver faster, better business outcomes to achieve efficiency in business operations. The alliance leverages the highly intuitive and easy-to-learn data analytics automation platform of Alteryx along with the EY organization's digital transformation capabilities across Strategy and Transactions, Consulting and Tax. The Alteryx platform combines three key pillars of automation and digital transformation — data, processes and people — to help enable data democratization, business process automation and people upskilling. Users are then better able to unlock the value of advanced analytics using its user-friendly platform, analyze a wide range of data from multiple sources and deliver business insights to answer business questions more efficiently. Among other strengths, EY US is well-known among clients and in the market for its consulting capabilities. With more than 700 certified implementers of Alteryx across service lines and countries, EY US teams have built innovative, proprietary solutions that are supported by Alteryx. Through the EY–Alteryx Alliance, clients gain access to and counsel from the right technology and consulting talent for data exploration, transformation and analysis. Brian May, EY Americas Alliance and Managed Services Leader, says: "This collaboration combines advanced technology and consulting capabilities for data exploration and analysis across key functional areas including tax, finance, human resources, supply chain, internal audit and IT. Activating and accelerating rapid digital transformation is paramount in helping organizations efficiently navigate today's evolving business landscape." Barb Huelskamp, Alteryx SVP of Channel Sales, says: "By aligning the EY organization's rich heritage of experience with the Alteryx analytics automation platform, we provide incremental value for key customer segments across the office of finance, human resources, supply chain and more. Our shared objective helps organizations optimize analytics to help drive large-scale business transformations." About EY EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Dynatrace Extends Grail to Power Business Analytics with Speed and Precision

Dynatrace | November 16, 2022

Software intelligence company Dynatrace announced today that it is extending its Grail™ causational data lakehouse to power business analytics. As a result, the Dynatrace® platform can instantly capture business data from first and third-party applications at a massive scale without requiring engineering resources or code changes. It prioritizes business data separately from observability data and stores, processes, and analyzes this data while retaining the context of the complex cloud environments where it originated. Dynatrace designed these enhancements to enable business and IT teams to drive accurate, reliable, cost-effective automation and conduct efficient ad hoc analytics covering a wide range of business processes. Examples include order fulfillment and bill payments, service activation and customer onboarding workflows, and the impact on revenue from new digital services. Today’s announcement builds on capabilities that Dynatrace launched in October 2022, leveraging Grail to power log analytics and management. The company expects to continue to extend Grail to power additional development, security, IT, and business solutions. Organizations depend on digital services to drive revenue, customer satisfaction, and competitive differentiation. To optimize these services and user experiences, business and IT teams increasingly rely on insights from various business data, including application usage, conversion rates, and inventory returns. Yet, traditional business intelligence tools lack the speed, scale, flexibility, and granularity required to deliver insights about services built on complex cloud architectures. In fact, according to a study from Deloitte, two-thirds of organizations are not comfortable accessing or using data from their business intelligence tools. Business analytics in modern cloud environments requires a new approach. “Dynatrace gives us valuable insight into the business impact of our applications’ performance and enables our teams to proactively solve problems, deliver better customer experiences, and drive more value for our organization,” said Stephen Evans, Head of Quality, Monitoring, SRE/DevOps Technology at PVH. “This enhanced capability to access and store all of our business data provides the scalability our business needs. It also frees our teams from the constraints of sifting through data to determine what is valuable and what should be stored. Dynatrace’s unique ability to analyze all this data and deliver precise and contextualized answers in real time enables us to improve our digital landscape.” “To drive digital transformation at scale, organizations need trustworthy and real-time insights from their business data. Existing solutions often rely on stale data, fail to deliver precise answers in IT-context, and require manual maintenance and coding from engineers. “The Grail causational data lakehouse uniquely positions the Dynatrace platform to overcome these hurdles. By elevating the priority of business data to ensure it arrives unsampled and with lossless precision, even from third-party applications where developers are not accessible, business and IT teams using the Dynatrace platform can now easily access valuable business insights on demand. This has the capability to unlock nearly unlimited business analytics use cases, allowing our customers to instantly answer their most challenging questions with accuracy, clarity, and speed.” Bernd Greifeneder, Founder and Chief Technical Officer at Dynatrace About Dynatrace Dynatrace exists to make the world’s software work perfectly. Our unified software intelligence platform combines broad and deep observability and continuous runtime application security with the most advanced AIOps to provide answers and intelligent automation from data at an enormous scale. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. That’s why the world’s largest organizations trust the Dynatrace® platform to accelerate digital transformation.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Cribl and Cloudian Offer S3 Data Lake-based Observability Platform for Modern Data Analytics

Cribl | October 12, 2022

Cribl and Cloudian® today announced a modern data analytics solution that integrates Cribl Stream and Cloudian HyperStore® object storage to provide an observability platform on an on-premises, S3-compatible data lake. The joint solution enables organizations to ingest, parse, restructure and enrich large data volumes in flight, ensuring they get the right data in the formats they need — all securely behind their firewall. Users can convert logs into metrics, reduce cost, and increase search speed. The Need for an Observability Platform Monitoring solutions alone only help enterprises answer well-known questions about their infrastructure and environment. To get new signals or opportunities, they also need an observability platform that can ingest and store data from multiple sources with full fidelity and can replay the relevant data into various analytics tools without adding new infrastructure and agents. This allows IT teams to perform advanced analytics, getting full visibility and insight into their environment, from applications to infrastructure assets. The Cribl-Cloudian Solution Cribl Stream is an observability pipeline that collects data from any source and can send and replay data to a Cloudian HyperStore S3-compatible data lake. The data is stored in HyperStore with full fidelity and is always available to search and analyze. HyperStore can scale up to thousands of nodes across multiple data centers, supporting millions of users and hundreds of petabytes of data. Other solution benefits include: Cost-effective, limitless scalability for long-term compliance – Data can be reformatted via a pre-parser, helping users mask, reduce, or restructure and route it to multiple destinations, such as low-cost Cloudian storage (½¢/GB/month or less) for long-term retention. Replay data – Customers can replay multiple data formats stored in the data lake to popular analytics and search platforms. Hybrid cloud ready – Users can employ policy-based tools to replicate or tier data to AWS, GCP, Azure, or another Cloudian HyperStore cluster for offsite disaster recovery, capacity expansion or data analysis in the cloud, enabling cost-effective storage across environments but managed as a single pool. Military-grade security and ransomware protection – Features include AES-256 server-side encryption for data stored at rest, SSL for data in transit (HTTPS), role-based access controls with specified levels of access, audit trail logging and data immutability for protection against ransomware. Data resiliency – The solution provides up to 14 nines of resiliency and supports administrator-selectable storage policies based on replication or erasure coding, along with fine grain control of data placement across data centers. “Giving our customers freedom and control over their data is the core of Cribl. “When customers use Cloudian and Cribl together, they can collect the largest amounts of data in any format with Cribl Stream and store and replay full fidelity data leveraging Cloudian HyperStore, saving costs and optimizing performance.” Zac Kilpatrick, vice president, Global Channels & Alliances, Cribl “Organizations are continually striving to gain deeper insights from their data to drive greater business and operational advancements,” said Larry Meese, vice president, Products and Solutions, Cloudian. “The Cribl-Cloudian solution enables them to easily and cost-effectively apply modern analytics applications to their on-prem data with the same scalability and flexibility of public cloud services while avoiding the cost and performance issues of moving large data volumes to the cloud.” About Cribl Cribl makes open observability a reality for today’s tech professionals. The Cribl product suite defies data gravity with radical levels of choice and control. Wherever the data comes from, wherever it needs to go, Cribl delivers the freedom and flexibility to make choices, not compromises. It’s enterprise software that doesn’t suck, enables tech professionals to do what they need to do, and gives them the ability to say “Yes.” With Cribl, companies have the power to control their data, get more out of existing investments, and shape the observability future. Founded in 2017, Cribl is a remote-first company with an office in San Francisco, CA. About Cloudian Cloudian is the leader in data management software for the hybrid cloud. With military-grade security, limitless scalability and seamless cloud integration, Cloudian’s S3-compatible object storage lets users optimize data access, meet data sovereignty requirements and cut costs by consolidating information to a single, cloud-like platform. Cloudian’s geo-distributed architecture manages and protects object and file data at the edge, core, and in the cloud, for both conventional and modern applications.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Neo4j Announces General Availability of its Next-Generation Graph Database Neo4j 5

Neo4j | November 09, 2022

Neo4j®, the leader in graph technology, announced today the general availability of Neo4j 5, the next-generation cloud-ready graph database. Neo4j 5 widens the performance lead of native graphs over traditional databases while providing easier scale-out and scale-up across any deployment, whether on-premises, in the cloud, hybrid, or multi cloud. The result empowers organizations to more quickly create and deploy intelligent applications at large scale and achieve greater value from their data. "Graph technology adoption is accelerating as organizations seek better ways to leverage connections in data to solve complex problems at scale," said Emil Eifrem, CEO and Co-founder of Neo4j. "We designed Neo4j 5 to deliver the type of scalability, agility, and performance that enable organizations to push the envelope on what's possible for their data and their business." Neo4j 5's specific benefits include: Query language improvements and up to 1000x faster query performance. New syntax makes it even easier to write complex pattern-matching queries. Improvements in indexes, query planning, and runtime make Neo4j 5 the fastest implementation ever. For example, multi-hop queries can now be executed up to 1000x faster than Neo4j 4. These improvements are above and beyond the already exponentially faster Neo4j's graph results over traditional databases. Together, these benefits enable more real-time results at scale. Automated scale-out across hundreds of machines, enabling self-managed customers to grow and handle a massive number of queries with little manual effort and significantly less infrastructure cost. This benefit is achieved via new and enhanced features like Autonomous Clustering and Fabric, enabling organizations to efficiently operate very large graphs and scale out in any environment. Neo4j 5 also automates the allocation and reassignment of computing resources. Continuous updates across all deployments, whether in the cloud, multi-cloud, hybrid, or on-prem. Neo4j 5 ensures ongoing compatibility between self-managed and Aura workloads managed by Neo4j. In addition, a new tool called Neo4j Ops Manager provides a unified single pane for easy monitoring and management of global deployments, giving customers full control over their environments. Neo4j 5 performance lead sets a new industry bar More than 1,300 organizations trust Neo4j's technology to power mission-critical applications while maintaining performance, security, and data integrity. Neo4j 5 extends the company's leadership even further at a time when graph adoption is exploding. "Switching to Neo4j was a huge win for us," said David Fox, Senior Software Engineer at Adobe and Co-founder & Engineering Lead at devRant. "We've seen significant performance improvements, and a great reduction in complexity, storage, and infrastructure costs. Staff now focus on improving the infrastructure, versus spending time frustratingly micro-managing it." For more information To learn more about Neo4j 5, visit the Neo4j 5 web page, read "Scale New Heights with Neo4j 5 Graph Database," or register for the following sessions at the upcoming online developer conference NODES 2022: "What's New in Neo4j 5 and Aura 5 for Developers" and "Introducing Neo4j 5 for Administrators." About Neo4j Neo4j is the world's leading graph data platform. We help organizations – including Comcast, ICIJ, NASA, UBS, and Volvo Cars – capture the rich context of the real world that exists in their data to solve challenges of any size and scale. Our customers transform their industries by curbing financial fraud and cybercrime, optimizing global networks, accelerating breakthrough research, and providing better recommendations. Neo4j delivers real-time transaction processing, advanced AI/ML, intuitive data visualization, and more.

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Spotlight

Big data are blossoming together with the hope to harness the knowledge they hide to solve the key problems of society, business and science. However, turning an ocean of messy data into knowledge and wisdom is an extremely challenging task. In this paper we put forward our vision of Big Data Analytics in Europe, based on the fair use of big data with the development of associated policies and standards, as well as on empowering citizens, whose digital traces are recorded in the data. The first step towards such objective is the creation of a European ecosystem for Big Data Analytics-as-a-service, based on a Federated Trusted Open Analytical Platform for Knowledge Acceleration. The goal is to yield a data and knowledge infrastructure providing to citizens, scientists, institutions and businesses

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