Simon Späti

SEPTEMBER 30, 2022

Image by Rachel Claire on Pexels Ever wanted or been asked to build an open-source Data Lake offloading data for analytics? Asked yourself what components and features would that include. Didn’t know the difference between a Data Lakehouse and a Data Warehouse? Or you just wanted to govern your hundreds to thousands of files and have more database-like features but don’t know how?

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Data Lake Data Warehouse Government Data 130

KDnuggets

SEPTEMBER 29, 2022

TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.

Deep Learning 152

Deep Learning Building 152

Data Engineering Podcast

SEPTEMBER 25, 2022

Summary Regardless of how data is being used, it is critical that the information is trusted. The practice of data reliability engineering has gained momentum recently to address that question. To help support the efforts of data teams the folks at Soda Data created the Soda Checks Language and the corresponding Soda Core utility that acts on this new DSL.

Building 100

Building Metadata MongoDB MySQL 100

U-Next

SEPTEMBER 27, 2022

Introduction . Cybersecurity or computer security and information security is the act of preventing theft, damage, loss, or unauthorized access to computers, networks, and data. As our interconnections grow, so do the chances for evil hackers to steal, destroy, or disrupt our lives. The increase in cybercrime has increased the demand for cybersecurity expertise.

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Certification Consulting Computer Science Government 116

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Simon Späti

SEPTEMBER 29, 2022

A semantic layer is something we use every day. We build dashboards with yearly and monthly aggregations. We design dimensions for drilling down reports by region, product, or whatever metrics we are interested in. What has changed is that we no longer use a singular business intelligence tool; different teams use different visualizations (BI, notebooks, and embedded analytics).

BI 130

BI Business Intelligence Designing Building 130

KDnuggets

SEPTEMBER 26, 2022

The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.

Data 142

Data Data Science 142

Confluent

SEPTEMBER 28, 2022

Highlighting sessions on the power of our Confluent-Google partnership: multi-layer data security, real-time cloud data streaming and analytics, database modernization, and more.

Google Cloud 98

Google Cloud Cloud Data Security Database 98

Simon Späti

SEPTEMBER 29, 2022

A semantic layer is something we use every day. We build dashboards with yearly and monthly aggregations. We design dimensions for drilling down reports by region, product, or whatever metrics we are interested in. What has changed is that we no longer use a singular business intelligence tool; different teams use different visualizations (BI, notebooks, and embedded analytics).

BI 130

BI Business Intelligence Designing Building 130

KDnuggets

SEPTEMBER 28, 2022

We explain how choosing a small, representative dataset from a large population can improve model training reliability.

Datasets 160

Datasets Machine Learning 160

Teradata

SEPTEMBER 30, 2022

With the release of VantageCloud Lake and ClearScape Analytics, Teradata brings a cloud-native architecture to extend the technical innovations and differentiators that Vantage is well known for.

Architecture 98

Architecture Cloud Data 98

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

Netflix Tech

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5 years, its usage has increased, and Timestone is now also the priority queueing engine backing Conductor , our general-purpose workflow orchestration engine, and BDP Sch

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Systems Metadata Media Kafka 85

Cloudera

SEPTEMBER 30, 2022

. Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. This is the first complete no-code, no-ops development experience for functions, allowing users to save time and resources. .

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Google Cloud AWS Cloud Coding 80

KDnuggets

SEPTEMBER 27, 2022

Algorithms are an often misunderstood concept. Leverage Python to learn what algorithms really are, and how to implement an array of basic computational algorithms in the language.

Algorithm 114

Algorithm Python 114

Confluent

SEPTEMBER 29, 2022

With 97% of businesses using data streaming technologies, centralized, real-time data governance is key. Read the report on centralized governance, and why it’s so important.

Data Governance 57

Data Governance Government Data Technology 57

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

U-Next

SEPTEMBER 29, 2022

The beauty of Business Analytics lies in its ability to grow businesses by an ‘x’ factor just by collecting and analyzing data. As businesses today continue their constant hunt to find newer innovative ways to enhance business processes, the role of a Business Analyst has never had greater importance. According to Techjury the global business intelligence market will grow to $33.3 billion by 2025.

Programming 52

Programming Business Analyst Business Intelligence Consulting 52

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). They are being bombarded with literature about seemingly independent new trends like data mesh and data fabric while dealing with the reality of having to work with hybrid architectures.

Architecture 74

Architecture Data Architecture Metadata Data Warehouse 74

KDnuggets

SEPTEMBER 28, 2022

7 Machine Learning Portfolio Projects to Boost the Resume • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Decision Tree Algorithm, Explained • Free SQL and Database Course • 5 Tricky SQL Queries Solved.

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Portfolio Machine Learning Project Algorithm 114

Knoldus

SEPTEMBER 28, 2022

Reading Time: 2 minutes TensorFlow Lite is a framework of software packages that enables ML training locally on the hardware. This on-device processing and computing allow developers to run their models on targeted hardware. The hardware includes development boards, hardware modules, and embedded and IoT devices. TensorFlow Lite Task Library contains a useful and powerful set of interfaces.

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Process Machine Learning Data Engineering Data Engineer 52

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building

U-Next

SEPTEMBER 29, 2022

Introduction . There has never been a better time to adopt Artificial Intelligence with tools for AI. From everyday activities such as shopping and content creation to innovative developments such as space exploration and medical research, this time of technological advancement will have an enormous impact on virtually every aspect of life. . According to a Gartner study , AI software will generate $62 billion in revenue by 2022.

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Management Machine Learning Deep Learning Algorithm 52

Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). CDF-PC enables organizations to take control of their data flows and eliminate ingestion silos by allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination using a low-code authoring experience.

Google Cloud 73

Google Cloud AWS Cloud Cloud Storage 73

KDnuggets

SEPTEMBER 29, 2022

this article is intended to help beginners improve their model structure by listing the best practices recommended by machine learning experts.

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Machine Learning 124

Confluent

SEPTEMBER 28, 2022

Remove the complexity and risks of infrastructure as code (IaC) with consistent, version-controlled streaming data access, Kafka clusters, connectors, private networks, RBAC, and more.

Kafka 52

Kafka Coding Accessible Accessibility 52

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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

Project

U-Next

SEPTEMBER 29, 2022

Introduction . With each passing day, consumers are presented with innumerable opportunities, making it harder for brands to capture and hold their interest. . There is no need to be surprised by this. Today, customers in marketing gain uninterrupted access to a wide range of products, services, and information. All of it is available in real-time, thanks to today’s omnichannel and mobile-first environment.

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Media Designing Algorithm Building 52

FreshBI

SEPTEMBER 26, 2022

As a CEO, you have access to all the data you need to make decisions that drive growth. But there’s a problem. One of the biggest challenges of a modern CEO is gaining a clear, data-driven understanding of their business. Changing consumer behaviors, labor constraints, supply chain bottlenecks, and internal organization performance are all critical insights that needs to be measured, analyzed, and then understood.

Business Intelligence 52

Business Intelligence BI Data Science SQL 52

KDnuggets

SEPTEMBER 28, 2022

Generate the prompt using Phraser and create realistic art using the Diffusion model.

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Elder Research

SEPTEMBER 27, 2022

The post How Good Am I at Ping Pong? appeared first on Elder Research.

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Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

U-Next

SEPTEMBER 29, 2022

Introduction . Workforce analysis makes it possible for businesses to take human resources-related decisions effectively. Operating a business involves many complex factors, including a company’s workforce. Employees can present a variety of qualitative factors instead of clean, hard data. . However, any organization’s most important asset is its workforce.

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IT Recruitment Data Analysis Business Intelligence 52

Lyft Engineering

SEPTEMBER 27, 2022

The journey of evolving our streaming platform and pipeline to better scale and support new use cases at Lyft. Background In 2017, Lyft’s Pricing team within our Marketplace organization was using a cronjob-based Directed Acyclic Graph (DAG) to compute dynamic pricing for rides. Each unit in the DAG would run at the top of every minute, fetch the data from the previous unit, compute the result, and store it for the next unit.

Kafka 52

Kafka Aggregated Data Machine Learning Architecture 52

KDnuggets

SEPTEMBER 30, 2022

The latest KDnuggets cheatsheet aims to get you up to speed with introductory Pandas operations, and provide a handy reference as you work with the library. Check it out if you're interested in a quick start.

IT 109

IT Python 109

dbt Developer Hub

SEPTEMBER 28, 2022

When you were in grade school, did you ever play the “Telephone Game”? The first person would whisper a word to the second person, who would then whisper a word to the third person, and so on and so on. At the end of the line, the final person would loudly announce the word that they heard, and alas! It would have morphed into a new word completely incomprehensible from the original word.

Engineering 52

Engineering Raw Data Datasets BI 52

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

Building