Jesse Anderson

OCTOBER 5, 2022

My guest this week is Brent Dykes , Founder and Chief Data Storyteller at Analytics Hero. Before he founded his own company, he was at Omniture, Adobe, and Domo. Analytics Hero is a consulting business based around data storytelling Data storytelling was a new concept to me. Brent defines it as “as a structured approach for communicating insights to a targeted audience using narrative elements and explanatory visuals.

Consulting 130

Consulting Data IT 130

KDnuggets

OCTOBER 7, 2022

There is no shortage of tools today that can help you through the steps of natural language processing, but if you want to get a handle on the basics this is a good place to start. Read about the ABCs of NLP, all the way from A to Z.

Process 160

Process 160

Data Engineering Podcast

OCTOBER 2, 2022

Summary The global economy is dependent on complex and dynamic networks of supply chains powered by sophisticated logistics. This requires a significant amount of data to track shipments and operational characteristics of materials and goods. Roambee is a platform that collects, integrates, and analyzes all of that information to provide companies with the critical insights that businesses need to stay running, especially in a time of such constant change.

Metadata 100

Metadata Electronics MongoDB MySQL 100

Confluent

OCTOBER 3, 2022

Apache Kafka 3.3 includes KRaft mode, improves partition scalability and resiliency while simplifying Kafka deployment, as well as updates to Kafka Streams, Connect, and more.

Kafka 113

Kafka 113

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

Cloudera

OCTOBER 6, 2022

Digital transformation. Everyone has their own ideas about what digital transformation means, so I decided to look up a few definitions. . Gartner : “Digital transformation can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”. CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”.

Data Lake 89

Data Lake Machine Learning Data Storage Cloud Computing 89

KDnuggets

OCTOBER 4, 2022

Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicity and fast performance. Let’s further explore how key-value stores work and what are their practical uses.

Database 158

Database NoSQL SQL 158

Confluent

OCTOBER 4, 2022

Confluent’s new Stream Designer is the industry’s first visual interface for rapidly building, testing, and deploying streaming data pipelines natively on Apache Kafka.

Data Pipeline 104

Data Pipeline Designing Kafka Data 104

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes. This creates flexibility to handle real-time data feed volumes as they fluctuate.

Kafka 79

Kafka Data Cloud Big Data 79

KDnuggets

OCTOBER 7, 2022

We have compiled a list of the top free resources to help new data practitioners learn SQL. These include free online courses and resources to get the most out of your SQL skills.

SQL 133

SQL Data 133

Teradata

OCTOBER 7, 2022

There are various approaches to doing time-series forecasting. Amongst all the approaches, the right way is using an in-database approach. Read more to find out why.

Database 72

Database 72

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

Confluent

OCTOBER 6, 2022

Current 2022 is a wrap! Here are some of the top keynote speeches, exciting new data streaming technologies, popular sessions, and where to find videos online.

Data 104

Data Technology 104

Rockset

OCTOBER 6, 2022

Open source PyTorch runs tens of thousands of tests on multiple platforms and compilers to validate every change as our CI (Continuous Integration). We track stats on our CI system to power custom infrastructure, such as dynamically sharding test jobs across different machines developer-facing dashboards, see hud.pytorch.org , to track the greenness of every change metrics, see hud.pytorch.org/metrics , to track the health of our CI in terms of reliability and time-to-signal Our requirements for

AWS 52

AWS Data Schemas Accessible Accessibility 52

KDnuggets

OCTOBER 5, 2022

Digital transformation is evolving, and so is the fintech industry by implementing AI trends and leveraging several benefits, such as optimizing productivity, increasing ROI, and enhancing security.

Finance 131

Finance Management 131

Emeritus

OCTOBER 6, 2022

Everyone leveraged data from small-scale enterprises to Fortune 500 companies to ensure efficient operations. Frontrunners like the MAANG companies (Meta, Amazon, Apple, Netflix, and Google), have vast databases that hold a wide range of customer data. Here is where database management systems like MS Access come in, and a programming language known as Structured Query… The post What is SQL?

SQL 52

SQL IT Programming Language Database 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

Confluent

OCTOBER 3, 2022

Announcing Confluent for Startups! Get started with Apache Kafka, leverage our data streaming expertise, and set your business up with the best infrastructure for scale and success.

IT 57

IT Kafka Data 57

Monte Carlo

OCTOBER 6, 2022

Will Larson (writer of An Elegant Puzzle – recommended read) may have said it best when he wrote that one of the best kinds of reorganization is the one you don’t do. However, data leaders inevitably reach a point where, due to team growth or evolving business demands, things just don’t work. Faced with these challenges, data organizations may swing back-and-forth between centralized vs. decentralized organizational structures until they achieve the right balance.

Data 52

Data Government Data Warehouse Software Engineer 52

KDnuggets

OCTOBER 5, 2022

What is NLP, and what types of questions related to NLP can you expect at the NLP-related job interviews?

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157

Meltano

OCTOBER 5, 2022

A recent study by Gartner predicted that only 20% of analytic insights will lead to business outcomes this year. Given that organizations are collecting higher volumes of data now than ever before, this seems like cause for concern. So what’s the problem? Where is this prediction coming from? The problem seems to be that many fail to achieve data agility and spend too much time troubleshooting data errors.

Data 52

Data Data Storage Datasets Database 52

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Project

Confluent

OCTOBER 7, 2022

From real-time banking and mobile payments, learn how Apache Kafka and Confluent are powering the financial services industry with event-driven architecture for modern use cases.

Architecture 52

Architecture Banking Kafka 52

phData: Data Engineering

OCTOBER 4, 2022

So you’ve been using dbt for a bit now… You have all of your transformations in dbt and your deployments are executing flawlessly, plus you noticed your development velocity has greatly increased. However, as your dbt repo has grown, you’ve begun to see that your deployments are taking even longer. You’ve spent a lot of time tagging your code to optimize your data refreshes, and while your refreshes run quickly, your deployments aren’t.

Cloud 52

Cloud Coding Building Project 52

KDnuggets

OCTOBER 4, 2022

Interview Kickstart’s Data Science Interview Course is built by Data Scientists from MAANG and other big tech companies, the course promises to get you interview-ready in 15 weeks.

Data Science 108

Data Science IT Data 108

Striim

OCTOBER 4, 2022

Traditionally, historical data (or batch data) was used for decision-making. However, lately, there’s a lot of focus on real-time data, which provides more business value. According to a survey by McKinsey , high-performing businesses are almost five times more likely to use real-time data, as compared to their counterparts. Real-time data is gaining prominence because it can help end-users to make decisions on the fly, allowing for more accurate and faster decision-making.

Media 52

Media Data Data Architecture Data Warehouse 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

Monte Carlo

OCTOBER 4, 2022

In November of 2020, O’Reilly Media first approached us with the idea to author Data Quality Fundamentals: A Practitioner’s Guide to Building More Trustworthy Data Pipelines. It was an inflection point for a fledgling company that had only just begun to establish the category of data observability. We knew it wouldn’t be an easy feat, but we also knew it would be worthwhile – and important Poor data quality is one of the foremost challenges of our industry, and certainly one of the m

High Quality Data 52

High Quality Data Data Pipeline Media Data 52

U-Next

OCTOBER 4, 2022

Every now and then, we come across news on data and network breaches in enterprises we thought had the most sophisticated and airtight cybersecurity measures. The fact is that, exploiters are not just becoming smarter but more creative as well. New avenues and loopholes are being exploited to infiltrate into networks and systems to extract sensitive data and information from businesses. .

Media 52

Media Datasets Accessible Accessibility 52

KDnuggets

OCTOBER 7, 2022

While there are some benefits to having citizen data scientists, they are no silver bullet – and they certainly aren’t a replacement for true data scientists.

Data 115

Data Data Science 115

Propel Data

OCTOBER 3, 2022

In Snowflake, you allocate “virtual warehouses” (computing clusters) to execute the SQL database commands that you run on the data platform.

Data Analytics 52

Data Analytics SQL Database Data 52

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Certification

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. .

Data Governance 74

Data Governance Government Machine Learning Data Science 74

phData: Data Engineering

OCTOBER 7, 2022

So you’ve built your first set of transformations in dbt , but now you need to figure out how to automate your deployment and code changes to your various environments. However, you’re not sure where to even start planning, let alone making sure that you’re sticking to best practices (whether that’s running your code on a schedule or having it run based on certain actions within your git repository).

Database 52

Database Cloud Coding Python 52

KDnuggets

OCTOBER 4, 2022

Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • Lessons from a Senior Data Scientist • A Day in the Life of a Data Scientist: Expert vs. Beginner • 7 Machine Learning Portfolio Projects to Boost the Resume.

Algorithm 108

Algorithm Python Portfolio Machine Learning 108

DataKitchen

OCTOBER 5, 2022

Part 1: Defining the Problems. This is the first post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Data Pipeline 70

Data Pipeline Datasets Engineering Data Engineering 70

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