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.

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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.

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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.

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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.

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Kafka 116

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Cloudera

OCTOBER 3, 2022

Tell us if this sounds familiar. You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. In the day and age of “big data,” most might think this issue is trivial, but like anything in the world of data science things are hardly ever as straightforward as they seem. .

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Machine Learning Data Science Python Datasets 90

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.

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Database NoSQL SQL 159

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.

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Data Pipeline Designing Kafka Data 105

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.”.

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Data Lake Machine Learning Data Storage Cloud Computing 90

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 144

SQL Data 144

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: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

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 105

Data Technology 105

Cloudera

OCTOBER 7, 2022

Introduction. dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). We’re excited to announce the general availability of the open source adapters for dbt for all the engines in CDP — Apache Hive , Apache Impala , and Apache Spark, with added support for Apache Livy and Cloude

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Data Warehouse Data Lake Government High Quality Data 80

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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159

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.

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Data Pipeline Datasets Engineering Data Engineering 69

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing

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.

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IT Kafka Data 59

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.

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Kafka Data Cloud Big Data 79

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.

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Finance Management 128

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).

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Database Cloud Coding Python 52

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems

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.

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Architecture Banking Kafka 52

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. .

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Data Governance Government Machine Learning Data Science 74

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

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

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AWS Data Schemas Accessibility Accessible 52

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Project

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?

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SQL IT Programming Language Database 52

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.

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Data Government Data Warehouse Software Engineer 52

KDnuggets

OCTOBER 1, 2022

If you want a deep dive on transformers, this Stanford course has made its courseware freely available, including lecture videos, readings, assignments, and more.

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IT Machine Learning 116

Picnic Engineering

OCTOBER 5, 2022

Picnic loves Error Prone: producing high-quality and consistent Java code Error Prone Support is now open source! Check out the announcement. Picnic is changing the way people do groceries. We’re an app-only supermarket, delivering the highest quality products for the best price to our customers. To do this, we meticulously design and build products for our customers and internal users.

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Java Coding Project Building 52

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

Business Intelligence

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 52

Data Pipeline Datasets Engineering Data Engineering 52

Meltano

OCTOBER 5, 2022

Interested in becoming a data engineer? The need for data experts in the U.S. job market is expected to grow by 22% in this decade, and according to LinkedIn’s 2020 report , a data engineer is listed as the 8th fastest growing job today. But what is data engineering exactly and what does a data engineer do? Interested in a data platform? We’ll explain what a data engineer is, what the job entails, and how to become a data engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 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.

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Algorithm Python Portfolio Machine Learning 103

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.

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Cloud Coding Building Project 52

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

Government