Sat.Nov 11, 2023 - Fri.Nov 17, 2023

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Data Intelligence Platforms

databricks

The observation that "software is eating the world" has shaped the modern tech industry. Today, software is ubiquitous in our lives, from the.

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Watch: Meta’s engineers on building network infrastructure for AI

Engineering at Meta

Meta is building for the future of AI at every level – from hardware like MTIA v1 , Meta’s first-generation AI inference accelerator to publicly released models like Llama 2 , Meta’s next-generation large language model, as well as new generative AI (GenAI) tools like Code Llama. Delivering next-generation AI products and services at Meta’s scale also requires a next-generation infrastructure.

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Trending Sources

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Minimal Viable Architecture and the case for up-front design

Ben Morris

Evolutionary design and iterative development only get you so far - you still need some level of up-front thinking and forward planning.

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Article: From Dependency to Autonomy: Building an In-House E-signing Service

InfoQ Articles

While many companies rely on third-party services, there’s a growing realization that an in-house solution can offer more control, flexibility, and cost savings. In this article, we’ll delve into how to build an e-signing microservice.

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Announcing the General Availability of Azure Databricks support for Azure confidential computing (ACC)

databricks

Today we are excited to announce the general availability of Azure Databricks support for Azure confidential computing (ACC)! With support for Azure confidential.

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Unlocking the Full Potential of Data Collaboration Through PETs

Dataversity

What’s the future of data collaboration? It’s a question that should be on the lips of every C-suite executive in global organizations right now. The unrealized potential of consumer data is immense for businesses wanting to forge deeper connections with their customers and unlock new opportunities, but many are unsure how to proceed when faced […] The post Unlocking the Full Potential of Data Collaboration Through PETs appeared first on DATAVERSITY.

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Modernize Payments Architecture for ISO 20022 Compliance

Confluent

Learn how Confluent helps financial services modernize payment platforms. Ensure interoperability between legacy payments messaging data while standardizing on the new ISO 20022 format.

More Trending

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Python Dependency Management in Spark Connect

databricks

Managing the environment of an application in a distributed computing environment can be challenging. Ensuring that all nodes have the necessary environment to.

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Building a Strong Community for Women in Data Management and Governance

Dataversity

In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event. I’m so honored to be part of building this community and to better serve a critical and growing constituency in our industry. Supporting the growth of […] The post Building a Strong Community for Women in Data Management and Governance appeared first on DATAVERSITY.

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Meet Wendell, Our November 2023 Confluent Champion

Confluent

Meet Cloud Product Representative Wendell Slater and learn what got him to Confluent—and how he’s driving better outcomes for his team and customers.

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The next evolution of marketing analytics

Mixpanel

Most companies are built on one fundamental insight. In the case of Mixpanel, that insight is that the event-based data structure is the most powerful, flexible, and intuitive model for all forms of analytics. While this idea is mainstream for product teams, it’s only just crossed the chasm for marketing teams: With the emergence of tools like GA4, the industry is now embracing the event-based model as the future of marketing analytics.

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Cybersecurity Lakehouses Best Practices Part 4: Data Normalization Strategies

databricks

In this four-part blog series "Lessons learned from building Cybersecurity Lakehouses," we are discussing a number of challenges organizations face with data engineering.

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Machine Learning: Challenges and Opportunities for Modern Data Executives

Dataversity

The transformational promise of artificial intelligence (AI) and machine learning (ML) for enterprises has fueled enormous excitement and massive investment by data executives. One estimate predicts that AI’s contribution to the global economy could reach an extraordinary $15.7 trillion by 2030. That’s more than the current combined economic output of China and India.

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Data Observability vs. Data Quality

TDAN

Data empowers businesses to gain valuable insights into industry trends and fosters profitable decision-making for long-term growth. It enables firms to reduce expenses and acquire and retain customers, thereby gaining a competitive edge in the digital ecosystem. No wonder businesses of all sizes are switching to data-driven culture from conventional practices.

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Privacy Engineering at DoorDash Drive

DoorDash Engineering

DoorDash proactively embeds privacy into our products. As an example of how we do so, we delve here into an engineering effort to maintain user privacy. We will show how geomasking address data allows DoorDash to protect user privacy while maintaining local analytic capabilities. Privacy engineering overview To facilitate deliveries, users must give us some personal information, including such things as names, addresses, and phone numbers, in a Drive API request.

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Named Arguments for SQL Functions

databricks

Today, we introduce the new availability of named arguments for SQL functions. With this feature, you can invoke functions in more flexible ways.

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No Database Is Perfect: Applying CAP Theorem to Database Choice

Dataversity

Since its introduction to the marketplace in 2000, the consistency, availability, and partition theorem, or CAP theorem, has been a guiding principle in database management. Computer scientist Eric Brewer presented the CAP theorem in a talk about distributed systems that provide web services. Two MIT professors later proved the theorem. It states that a database can be […] The post No Database Is Perfect: Applying CAP Theorem to Database Choice appeared first on DATAVERSITY.

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Eyes on Data: The Right Foundation for Trusted Data and Analytics

TDAN

Trust. Trust is defined as the assured reliance or belief on the character, ability, strength, or truth of someone or something (Webster’s Dictionary). It’s a term we use often to describe how we feel about the people, the institutions, and the things around us.

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HN710: The Future Of Networking With Brad Casemore – Part 2

Packet Pushers

We continue our Future of Networking series with part two of our conversation with Brad Casemore. Now retired, Brad has participated in the industry as both a technologist and IDC analyst. In this episode we look at the rise of zero trust and what it means for campus networking. We discuss how geopolitics influences IT. Read more » We continue our Future of Networking series with part two of our conversation with Brad Casemore.

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Hunting down RF Interference

VIAVI Solutions

In the fast-paced world of telecommunications, the transition from 4G to 5G has brought about a host of changes, with both persistent challenges and emerging issues. In this blog post, we discuss the complexities of interference in 5G networks, exploring a combination of old and new problems that network operators and technicians face. Old Problems, […] The post Hunting down RF Interference appeared first on VIAVI Perspectives.

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Managing Missing Data in Analytics

Dataversity

Today, corporate boards and executives understand the importance of data and analytics for improved business performance. However, most of the data in enterprises is of poor quality, hence the majority of the data and analytics fail. To improve the quality of data, more than 80% of the work in data analytics projects is on data […] The post Managing Missing Data in Analytics appeared first on DATAVERSITY.

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No Signal, No Problem: Troubleshooting Network Disconnection

Obkio

Uncover the secrets to troubleshooting network disconnections and optimizing performance. Learn to navigate network connectivity with confidence & NPM tools.

Network 52
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IPB139: Avoiding Typical IPv6 Pitfalls

Packet Pushers

Network engineers and architects considering IPv6 can benefit from the experiences of those who have gone before them by avoiding the problems that have bedeviled other deployments. On today’s show, your hosts discuss three typical pitfalls and how to get over or around them without falling in. Those IPv6 pitfalls include: IPv4 thinking Deploying ULA.

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From Shadow to Guardian: The Journey of a Hacker-Turned Hero 

CATO Networks

In the ever-evolving landscape of cybersecurity , the line between the defenders and attackers often blurs, with skills transferable across both arenas. Its a narrative not unfamiliar to many in the cybersecurity community: the journey from black hat to white hat, from outlaw to protector. In the 15 th episode of Cato Networks Cyber Security Master Class , hosted by Etay Maor, Senior Director of Security Strategy, we had the privilege of witnessing such a transformative story unfold.

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Choosing Tools for Data Pipeline Test Automation (Part 1)

Dataversity

Those who want to design universal data pipelines and ETL testing tools face a tough challenge because of the vastness and variety of technologies: Each data pipeline platform embodies a unique philosophy, architectural design, and set of operations. Some platforms are centered around batch processing, while others are centered around real-time streaming.

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Implementing QoS for VoIP for Exceptional VoIP Call Quality

Obkio

Optimize VoIP performance with QoS implementation. Explore best practices for QoS for VoIP, overcome challenges, and elevate clarity with Obkio's NPM tool.

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D2C220: KubeConversations Part 1 – Platform Engineering

Packet Pushers

Welcome to a special edition of Day Two Cloud. Host Ned Bellavance traveled to KubeCon Chicago 2023 and spoke to vendors and open source maintainers about whats going on in the cloud-native ecosystem. This episode features conversations on platform engineering. Part 2 will focus on security. Episode Guests: Cole Morrison, Developer Advocate at HashiCorp LinkedIn.

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Cato Networks Takes a Bite of the Big Apple 

CATO Networks

My new favorite company took center stage in iconic New York Times Square today with a multi-story high 3D visualization of our revolutionary secure access service edge (SASE) platform. Its positively mesmerizing, take a look: The move signals a seismic shift happening across enterprises, the need to have an IT infrastructure that can easily adapt to anything at any time, and the transformative power of Catos networking and security platform.

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Maximizing IT Investments and Enhancing End-User Experience with Data

Dataversity

In an age defined by data-driven decision-making, where 91.9% of organizations have already leveraged analytics to enhance their operations, a question remains: What if there were even more sources of untapped data, capable of helping businesses increase the quality of the end-user experience and elevating the functionality of systems, applications, and cloud investments within their business?

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A Guide to Effective Network Load Testing & Load Balancing

Obkio

Explore the world of network administration with insights on network load testing, network load balancing, and the role of NPM. Optimize your network today!

Network 52
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HW015: What Every Wi-Fi Pro Needs To Know About Private LTE

Packet Pushers

Private LTE and Wi-Fi use a lot of overlapping skills but there are also some key differences that Wi-Fi pros need to be aware of. Dr. Avril Salter joins host Keith Parsons to highlight important distinctions between Wi-Fi and private LTE or 5G networks, including spectrum use and application suitability. They also discuss the complexity. Read more » Private LTE and Wi-Fi use a lot of overlapping skills but there are also some key differences that Wi-Fi pros need to be aware of.

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Data Speaks for Itself: Data Love and Data Limerence

TDAN

Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance, data literacy, data strategy, data analytics, data engineering, data mesh, data fabric, data literacy, and don’t forget data littering.

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Master Data Management Tools

Dataversity

Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master data describes all the “relatively stable” data that is critical for operating the business. This includes semi-permanent information about products, locations, employees, customers, etc. For example, if a specific customer purchases several products […] The post Master Data Management Tools appeared first on DATAVERSITY.

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Why I don't like markdown docs in a git repo as documentation

SysAdmin1138 Explains

Every time the topic of documentation comes up at work, at multiple workplaces, someone always says a variant of the following: What we really need is markdown in a git repository. We get version control, there is a lot of tooling to make markdown work good in git, it's great And every time I have to grit my teeth and hope I don't cause dental damage.

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Tech Bytes: Why AI Workloads Require Optimized Ethernet Fabrics (Sponsored)

Packet Pushers

Network engineers have a good grasp on how to build data center networks to support all kinds of apps, from traditional three-tier designs to applications built around containers and microservices. But what about building a network fabric to support AI? Today on the Tech Bytes podcast, sponsored by Nokia, we talk about the special requirements. Read more » Network engineers have a good grasp on how to build data center networks to support all kinds of apps, from traditional three-tier desig

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Game-Changing Data Definitions You Cannot Afford to Ignore

TDAN

In today’s data-driven world, the terms “data governance” and “data stewardship” have become buzzwords, often thrown around without a clear understanding of their significance. However, defining these terms is not about adding complexity, it’s about establishing clarity and accountability and providing a sense of practicality and pragmatism.

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Frozen Yellow Garden Hose

SubnetZero

Ivan’s recent very interesting post on LAN Data Link addressing takes me back. Specifically, footnote #1, referring to “ThickNet” Ethernet: “The coaxial cable had to be bright yellow” In the US, at least, we also used to call the stuff “Frozen Yellow Garden Hose”, for obvious reasons. The original Ethernet physical medium was rather interesting.