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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of October 11, 2024.<\/strong><\/em><\/p>\n Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items.<\/p>\n For early access to all the expert insights published on Solutions Review<\/em>, join Insight Jam<\/em><\/a><\/strong><\/span>, a community dedicated to enabling the human conversation on AI.<\/p>\n Multi-zone deployments take advantage of Aerospike\u2019s rack awareness, with each availability zone (AZ) being designated a unique rack ID. Prior to Database 7.2, the master and replica partitions could only be evenly distributed across AZs, with each zone receiving an equal share of both. This meant that all AZs in a cross-AZ cluster deployment were active.<\/p>\n Read on for more<\/a><\/p>\n With capabilities such as lineage for AI auditability, AI documentation, data discovery and custom tagging, and data quality flags, organizations can accelerate AI development, mitigate risks, and optimize their AI investments for business impact.<\/p>\n Read on for more<\/a><\/p>\n As a NoSQL database, Apache Cassandra handles massive amounts of data across load-intensive applications with high availability and no single point of failure. Cassandra’s largest production deployments include Apple, Netflix, Huawei, Walmart, and numerous other organizations worldwide.<\/p>\n Read on for more<\/a><\/p>\n ApertureData is bridging a \u00a0gap in today\u2019s data infrastructure by offering a purpose-built database that provides teams with a unified solution for managing and accessing complex multimodal datasets\u2014tailored to meet the demands of AI workflows.<\/p>\n Read on for more<\/a><\/p>\n USAA has been partnering with Bigeye to drive improvements in managing data quality, enabling their teams to deliver trusted analytics that drive critical business decisions. Enterprises, such as USAA, with distributed data architectures are quickly realizing the value of data observability tools in improving not only visibility but also data quality across their data infrastructure.<\/p>\n Read on for more<\/a><\/p>\n This initiative brings together a diverse group of industry-leading AI providers to deliver comprehensive, end-to-end AI solutions for\u00a0 customers that help to maximize the value of AI. Over the last year, the Enterprise AI Ecosystem has generated significant inbound interest and a steady flow of requests for\u00a0 Cloudera to build on its existing AI partners\u00a0 and establish new ones.<\/p>\n Read on for more<\/a><\/p>\n Cloudera has extended its Open Data Lakehouse interoperability to Snowflake, allowing joint customers seamless access to Cloudera\u2019s Data Lakehouse via its Apache Iceberg REST Catalog. Customers now have access to all major form factors from one cohesive collaboration, on-premise, and as a platform-as-a-service (PaaS) and software-as-a-service (SaaS).<\/p>\n Read on for more<\/a><\/p>\n Data teams use Coalesce to build and scale their data pipelines with ease. However, one challenge many companies face is the ability to consistently define and maintain business metrics across the organization. Cube addresses this challenge by offering a universal semantic layer that ensures that all teams within a company are working with the same data definitions.<\/p>\n Read on for more<\/a><\/p>\n dbt Labs also will provide an independent metrics layer, enabling Tableau and Salesforce customers to define, manage, and standardize key business metrics across all platforms. This flexibility supports consistent and comparable insights, empowering data-driven decision-making with confidence in the flow of work.<\/p>\n Read on for more<\/a><\/p>\n Its unique approach automatically orchestrates the fully governed model lifecycle. Domino Governance is the first solution to embed AI governance within the data science workflow \u2014 putting policies, evidence and approvals in one place and on schedule for enterprises to quickly and safely innovate.<\/p>\n Read on for more<\/a><\/p>\n Equifax is committed to meeting its customers where they operate, and availability of Equifax data via Analytics Hub will provide developers with real-time access to Equifax insights to help increase the speed of product innovation. The partnership will also enable business users and data analysts to securely access, share and query data within Google Cloud’s infrastructure to inform decision making across the organization.<\/p>\n Read on for more<\/a><\/p>\n The integration of Quesma’s technology with the Hydrolix platform enables ELK stack users to offload their log data to Hydrolix’s cheaper and faster platform and keep using Kibana and Logstash\/Beats. This can dramatically reduce the total cost of ownership (TCO) for ELK use cases that involve log data, including observability.<\/p>\n Read on for more<\/a><\/p>\n For the first time, a single API offers simplified access to the Precisely data portfolio for flexible queries, data enrichment, and enhanced data discovery. Supported by the PreciselyID, the company’s\u00a0unique and persistent identifier for any addressable location, the Data Graph API reduces complexity, ensures consistency, and speeds up the data enrichment process, accelerating time-to-value.<\/p>\n Read on for more<\/a><\/p>\n The capability of the no-code Infinite Integration Builder will allow organizations to easily create integrations with a level of specificity unique to their data stack and organizational needs. With the ability to customize integrations and build them quickly, organizations can implement the MineOS platform in just a matter of days<\/p>\n Read on for more<\/a><\/p>\n SAP debuted new data lake capabilities, a new knowledge graph engine and a way to accelerate real-time risk analysis. The capabilities are not available immediately but are expected to debut in the coming months, helping enterprises store, process and drive value from their data quickly and efficiently.<\/p>\n Read on for more<\/a><\/p>\n This new capability is part of Teradata\u2019s VantageCloud Lake and ClearScape Analytics, which together help businesses quickly realize returns on their AI investments. With 84 percent of executives expecting returns from AI initiatives within a year, having access to more cost-effective options is crucial.<\/p>\n Read on for more<\/a><\/p>\n The Vectorize platform can enable an agentic RAG approach for near real-time data capability. Vectorize focuses on the data engineering side of AI. The platform helps companies prepare and maintain their data for use in vector databases and large language models.<\/p>\n Read on for more<\/a><\/p>\n This month, Bob Eve and guests Sumit Pal, Nicola Ashkam, and Juan Sequeda discuss the importance of semantics in AI and data management. They get into knowledge graphs and semantic layers to improve data quality, interoperability, and decision-making, and explore challenges in implementing semantic technologies. Watch for practical examples and advice on how businesses can leverage semantics to enhance AI initiatives and data strategies.<\/p>\n Watch on YouTube<\/a><\/p>\n GenAI might help improve data analysis and quality, but new AI initiatives may require re-architecting data systems. The conversation also touches on the benefits of adopting streaming architectures and the importance of balancing comprehensive re-architecting with tactical, incremental improvements.<\/p>\n Watch on YouTube<\/a><\/p>\n Think about generative AI as a “smart intern” – capable but naive. They explore how it can be integrated into various business processes, including risk management and compliance. They also address the challenges of data security and privacy when using AI, emphasizing the need for careful implementation and oversight.<\/p>\n Watch on YouTube<\/a><\/p>\n The most effective way to gauge ROI is by implementing specific metrics that capture the core benefits of data governance. These metrics should be easy to implement and directly tied to the goals of the organization, particularly as they relate to data quality, decision-making, compliance, and operational efficiency. In this short article, I explore five of the easiest metrics to implement (the fifth metric will surprise you!) for measuring the ROI of a NIDG program and explain why these metrics are crucial in today\u2019s data-driven world.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n For many companies, the harsh truth is that data doesn\u2019t drive value, and many forget that \u201cdata\u201d is just an enabler. What drives the value is how you intentionally organize and this is called your \u201cOperating Model.”<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n With the next Expert Roundtable event, the team at Solutions Review has\u00a0partnered with Impetus, AWS, and William McKnight<\/a><\/strong>\u00a0to help you choose between maintaining expensive, outdated solutions that slow cloud and AI advancements or modernizing with cloud-native, open-source tools like Airflow.<\/p>\n Register free on LinkedIn<\/a><\/p>\n With the next Expert Roundtable event, the team at Solutions Review has\u00a0partnered with Neudesic, Microsoft, Databricks, and Eckerson Group<\/a><\/strong>\u00a0to hear from experts at Databricks, Microsoft, and Neudesic as they share practical learnings and best practices to ensure successful AI outcomes.\u00a0<\/span><\/p>\n Register free on LinkedIn<\/a><\/p>\n With the next Expert Roundtable event, the team at Solutions Review has\u00a0partnered with Impetus, Copa Airlines, Databricks, and William McKnight<\/a><\/strong>\u00a0on why enterprises are migrating their data warehouse workloads to Databricks to leverage its unified, scalable platform that enhances analytics and reduces operational costs and provides superior performance and price-performance to competitors like Snowflake.<\/p>\nTop Data Management News for the Week Ending October 11<\/strong>, 2024<\/strong><\/h2>\n
Aerospike Launches Database Version 7.2<\/strong><\/h4>\n
Alation Releases New AI Governance Solution<\/strong><\/h4>\n
Apache Foundation Announces Cassandra 5.0<\/strong><\/h4>\n
ApertureData Raises $8.5 Million in Seed Funding<\/strong><\/h4>\n
Bigeye Nabs $5 Million in Strategic Investment from USAA<\/strong><\/h4>\n
Cloudera Extends Enterprise AI Ecosystem<\/strong><\/h4>\n
Cloudera Partners with Snowflake<\/strong><\/h4>\n
Coalesce Partners with Cube on Semantic Layer and Pipeline Dev<\/strong><\/h4>\n
dbt Labs Partners with Salesforce<\/strong><\/h4>\n
Domino Data Lab Announces New Domino Governance<\/strong><\/h4>\n
Equifax Brings Differentiated Data Tools to Google<\/strong><\/h4>\n
Hydrolix Partners with Quesma<\/strong><\/h4>\n
Precisely Unveils New Data Graph API<\/strong><\/h4>\n
MineOS Announces DSR 2.0<\/strong><\/h4>\n
SAP is Updating its Datasphere Product<\/strong><\/h4>\n
Teradata Announces Bring-Your-Own LLM Capability<\/strong><\/h4>\n
Vectorize Drops New Agentic RAG Platform for Enterprise Data<\/strong><\/h4>\n
Expert Insights<\/em> Section<\/strong><\/h3>\n
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<\/a>Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam<\/em>, Solutions Review’s enterprise tech community for business software pros<\/a><\/strong><\/span>. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.<\/p>\nThe Jam Session<\/em> On-Demand: Panel of Experts Discuss Why AI Needs Good Semantics, and What to Do About It<\/h4>\n
Mini Jam LIVE<\/em> On-Demand: Panel of Experts Discuss Where Companies Go Wrong When Implementing AI and Data Governance<\/h4>\n
Mini Jam LIVE<\/em> On-Demand: Panel of Experts Discuss How Companies Can Actually Use GenAI<\/h4>\n
New on Solutions Review Thought Leaders<\/em> by Bob Seiner: What Data Governance ROI Looks Like<\/h4>\n
New on Solutions Review Thought Leaders<\/em> by Samir Sharma: Why Data Isn’t a Silver Bullet – The Real Value in Your Operating Model<\/h4>\n
Free Event on October 22 – Impetus, AWS & Expert Moderator William McKnight on Future-Proofing Your Workflow: Automate Legacy Migration to Airflow:<\/h4>\n
Free Event on October 24 – Neudesic, Microsoft, Databricks & Expert Moderator Wayne Eckerson on Scaling AI with an Intelligent Data Platform:<\/h4>\n
Free Event on October 29 – Impetus, Copa Airlines, Databricks & Expert Moderator William McKnight on Modernizing Workloads and Unifying Data Governance:<\/h4>\n