Data Engineering Podcast

AUGUST 26, 2019

Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Each group of users has their own set of requirements for the way that they access and interact with those platforms depending on the insights they are trying to gather. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and.

Data Analytics 100

Data Analytics Building Media Data Engineer 100

KDnuggets

AUGUST 29, 2019

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

Machine Learning 120

Machine Learning Medical Education Data 120

Teradata

AUGUST 27, 2019

How can a Digital CFO break down the silos in the Bank and support the digital agenda in transforming the customer journey? Read more from our experts!

Finance 53

Finance Banking 53

Confluent

AUGUST 29, 2019

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. But what about when the relationships between items dominate your application? For example, in a social network, understanding the network means we need to look at the friend relationships between people.

Kafka 55

Kafka Process Algorithm Cloud 55

Advertisement

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

Rockset

AUGUST 29, 2019

In this blog, we examine DynamoDB reporting and analytics, which can be challenging given the lack of SQL and the difficulty running analytical queries in DynamoDB. We will demonstrate how you can build an interactive dashboard with Tableau, using SQL on data from DynamoDB, in a series of easy steps, with no ETL involved. DynamoDB is a widely popular transactional primary data store.

NoSQL 40

NoSQL SQL Building Unstructured Data 40

KDnuggets

AUGUST 26, 2019

Visually-displayed data is much more accessible, and it’s criticalto promptly identify the weaknesses of an organization, accurately forecasttrading volumes and sale prices, or make the right business choices.

Data 116

Data Accessible Accessibility 116

Confluent

AUGUST 27, 2019

We are excited to announce the release of Confluent Cloud Schema Registry in general availability (GA), available in Confluent Cloud , our fully managed event streaming service based on Apache Kafka ®. Before we dive into Confluent Cloud Schema Registry, let’s recap what Confluent Schema Registry is and does. Confluent Schema Registry provides a serving layer for your metadata and a RESTful interface for storing and retrieving Avro schemas.

Cloud 18

Cloud Kafka Electronics Metadata 18

Rockset

AUGUST 27, 2019

Amazon DynamoDB is a managed NoSQL database in the AWS cloud that delivers a key piece of infrastructure for use cases ranging from mobile application back-ends to ad tech. DynamoDB is optimized for transactional applications that need to read and write individual keys but do not need joins or other RDBMS features. For this subset of requirements, DynamoDB offers a way to have a virtually infinitely scalable datastore that requires minimal maintenance.

NoSQL 40

NoSQL Relational Database AWS Retail 40

KDnuggets

AUGUST 29, 2019

With the pervasive important of NLP in so many of today's applications of deep learning, find out how advanced translation techniques can be further enhanced by transformers and attention mechanisms.

Deep Learning 114

Deep Learning 114

KDnuggets

AUGUST 30, 2019

Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.

107

107

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

KDnuggets

AUGUST 30, 2019

Emoji is becoming a global language understandable by anyone who expresses. emotion. With the pervasiveness of these little Unicode blocks, we can perform analytics on their use throughout social media to gain insight into sentiments around the world.

Media 103

Media 103

KDnuggets

AUGUST 27, 2019

Despite the increasing demand and appetite for experienced data scientists, the job is ambiguously described most of the times. Also, the delineation between data science and data analytics or engineering is still loosely defined by a lot of hiring managers.

Data Science 100

Data Science Data Data Analytics Engineering 100

KDnuggets

AUGUST 27, 2019

With substantial changes coming with TensorFlow 2.0, and the release candidate version now available, learn more in this guide about the major updates and how to get started on the machine learning platform.

Machine Learning 100

Machine Learning Deep Learning 100

KDnuggets

AUGUST 27, 2019

Recently, AI researchers from IBM open sourced AI Explainability 360, a new toolkit of state-of-the-art algorithms that support the interpretability and explainability of machine learning models.

Machine Learning 100

Machine Learning Algorithm 100

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

KDnuggets

AUGUST 30, 2019

Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.

Programming 105

Programming Building Machine Learning Data 105

KDnuggets

AUGUST 28, 2019

New KDnuggets poll asks 1) What Data Science/Machine Learning-related skills you currently have, and 2) Which skills you want to add or improve? If you are human, please vote and we will analyze and publish the results.

Data Science 88

Data Science Machine Learning Data 88

KDnuggets

AUGUST 26, 2019

Over the past few years, artificial intelligence continues to be one of the hottest topics. And in order to work effectively with it, you need to understand its constituent parts.

Deep Learning 86

Deep Learning Machine Learning IT 86

KDnuggets

AUGUST 28, 2019

Human pose estimation refers to the process of inferring poses in an image. Essentially, it entails predicting the positions of a person’s joints in an image or video. This problem is also sometimes referred to as the localization of human joints.

Process 81

Process IT 81

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

KDnuggets

AUGUST 26, 2019

Learn how probabilistic data structures and algorithms can be used for cardinality estimation in Big Data streams.

Big Data 101

Big Data Algorithm Data 101

KDnuggets

AUGUST 29, 2019

Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values.

Engineering 102

Engineering Data Python 102

KDnuggets

AUGUST 26, 2019

Here are some ways you can make the case to your boss that analytics investments are smart for your company to pursue.

Data Analytics 96

Data Analytics Data 96

KDnuggets

AUGUST 30, 2019

As a media partner for O'Reilly, KDnuggets is pleased to offer to our readers a chance to win a 2-day Bronze Conference pass to either Strata Data NYC or TensorFlow in Santa Clara. Enter by Sep 8, 2019.

Media 69

Media Data 69

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

KDnuggets

AUGUST 28, 2019

Algorithms Notes for Professionals - Free Book; 10 simple Linux tips which save 50% of my time in the command line; Why so many #DataScientists are leaving their jobs; Order Matters: Alibaba Transformer-based Recommender System.

Algorithm 61

Algorithm Systems 61

KDnuggets

AUGUST 26, 2019

Also: Deep Learning for NLP: Creating a Chatbot with Keras!; Understanding Decision Trees for Classification in Python; How to Become More Marketable as a Data Scientist; Is Kaggle Learn a Faster Data Science Education?

Deep Learning 48

Deep Learning Education SQL Data Science 48

KDnuggets

AUGUST 28, 2019

Most useful SQL features for Data Scientist; Excellent tutorial on creating neural nets from scratch with Numpy; TensorFlow 2.0 highlights, explained; How to sell your boss on Data Analytics; and more.

SQL 45

SQL Data Analytics Data 45

KDnuggets

AUGUST 29, 2019

Centralized AI is giving way to more democratic AI systems, which are becoming more and more accessible to data scientists, both through code and through open ecosystems.

Coding 101

Coding Accessible Accessibility Systems 101

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