KDnuggets

FEBRUARY 18, 2022

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

Machine Learning 160

Machine Learning Data 160

Netflix Tech

FEBRUARY 18, 2022

By: Ankush Gulati , David Gevorkyan Additional credits: Michael Clark , Gokhan Ozer Intro Netflix has more than 220 million active members who perform a variety of actions throughout each session, ranging from renaming a profile to watching a title. Reacting to these actions in near real-time to keep the experience consistent across devices is critical for ensuring an optimal member experience.

Systems 133

Systems Architecture Portfolio Designing 133

Confluent

FEBRUARY 18, 2022

As data flows in and out of your Confluent Cloud clusters, it’s imperative to monitor their behavior. Bring Your Own Monitoring (BYOM) means you can configure an application performance monitoring […].

Cloud 119

Cloud Data 119

Cloudera

FEBRUARY 17, 2022

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

Cloud 107

Cloud Data Professional Services Metadata 107

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

KDnuggets

FEBRUARY 17, 2022

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

Machine Learning 160

Machine Learning Algorithm Datasets 160

Data Engineering Podcast

FEBRUARY 13, 2022

Summary Collecting, integrating, and activating data are all challenging activities. When that data pertains to your customers it can become even more complex. To simplify the work of managing the full flow of your customer data and keep you in full control the team at Rudderstack created their eponymous open source platform that allows you to work with first and third party data, as well as build and manage reverse ETL workflows.

Building 100

Building Hadoop Data Pipeline Metadata 100

Cloudera

FEBRUARY 18, 2022

The pandemic has accelerated diversity of teams, remote working, and the way we work, but most of all, it has emphasised the necessity of soft skills in our leaders. Empathy stands out as a core skill that must be alive and nurtured within our teams if we are to achieve our desired outcomes in 2022 and beyond. This blog explores what empathy looks like in a business context, why it’s so important, and what we’re up to at Cloudera.

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Banking Data Lake Technology Building 92

KDnuggets

FEBRUARY 14, 2022

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

Deep Learning 160

Deep Learning Machine Learning 160

Data Engineering Podcast

FEBRUARY 13, 2022

Summary Streaming data sources are becoming more widely available as tools to handle their storage and distribution mature. However it is still a challenge to analyze this data as it arrives, while supporting integration with static data in a unified syntax. Deephaven is a project that was designed from the ground up to offer an intuitive way for you to bring your code to your data, whether it is streaming or static without having to know which is which.

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Coding Engineering Data Pipeline Java 100

Pipeline Data Engineering

FEBRUARY 18, 2022

Data engineers have to wear many different hats at the same time: they are architects, designers, builders, maintainers, procurement and quality assurance — to just name a few. If you’d like to break into this profession, you need to prove that you can do all of the above, and more. One of the key assets you can use to do that is a data product that you’ve built with your own hands.

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Building Portfolio Kafka Machine Learning 52

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data

Cloudera

FEBRUARY 16, 2022

While it is a little dated, one amusing example that has been the source of countless internet memes is the famous, “is this a chihuahua or a muffin?” classification problem. Figure 01: Is this a chihuahua or a muffin? In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. The eyes and nose of a chihuahua, combined with the shape of its head and colour of its fur do look surprising like a muffin if we squint at the images in figure 01 above.

Machine Learning 90

Machine Learning Algorithm Government Metadata 90

KDnuggets

FEBRUARY 16, 2022

In this article, I will walk you through how you can use your data science skills to land freelance gigs.

Data Science 159

Data Science Data 159

ProjectPro

FEBRUARY 18, 2022

The big data analytics market is expected to grow at a CAGR of 13.2 percent, reaching USD 549.73 billion in 2028. This indicates that more businesses will adopt the tools and methodologies useful in big data analytics, including implementing the ETL pipeline. Data engineers are in charge of developing data models, constructing data pipelines, and monitoring ETL (extract, transform, load).

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Project AWS Kafka Healthcare 52

DataKitchen

FEBRUARY 18, 2022

In this webinar, take a trip to DataOps 101 and learn the basics! The post DataOps For Beginners first appeared on DataKitchen.

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Cloud

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This was used to test our setup. This week, we got to think about our data ingestion design. We looked at the following: How do we ingest – ETL vs ELT Where do we store the data – Data lake vs data warehouse Which tool to we use to ingest – cronjob

Data Ingestion 52

Data Ingestion Data Engineer Data Engineering Engineering 52

KDnuggets

FEBRUARY 18, 2022

Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

Machine Learning 158

Machine Learning Algorithm 158

ProjectPro

FEBRUARY 17, 2022

Feature selection techniques are fundamental to predictive modeling tasks; one can not create predictive models without selecting the features correctly. What are these feature selection methods, and how are they used in building efficient predictive models? You will find out all the answers in this article. If you have ever baked a cake in your life or perhaps witnessed someone following a recipe to bake it, you must have noticed how crucial it is to precisely measure each ingredient's quantity

Machine Learning 52

Machine Learning Algorithm Datasets Banking 52

DataKitchen

FEBRUARY 18, 2022

DataOps is a discipline focused on the delivery of data faster, better, and cheaper to derive business value quickly. It closely follows the best practices of DevOps although the implementation of DataOps to data is nothing like DevOps to code. This paper will focus on providing a prescriptive approach in implementing a data pipeline using a DataOps discipline for data practitioners.

High Quality Data 52

High Quality Data Business Intelligence Data Pipeline Government 52

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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

Preset

FEBRUARY 13, 2022

Apache Superset is the most popular open-source data exploration and visualization platform in the world. YugabyteDB is a distributed SQL database that works seamlessly using the standards PostgreSQL connector.

PostgreSQL 52

PostgreSQL SQL Database Data 52

KDnuggets

FEBRUARY 18, 2022

Octoparse 8.5 is now released with game-changing new features and major improvements.

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ProjectPro

FEBRUARY 16, 2022

Early in 2020, when Myntra launched its visual product search for the first time, it created waves in e-commerce. With this new feature, the customers no longer had to spend hours searching for a dress similar to the one they came across randomly in an advertisement. All they had to do was take a picture/screenshot and upload it on Myntra; the app would automatically fetch outfits similar to the picture.

Architecture 52

Architecture Deep Learning Banking Datasets 52

Zalando Engineering

FEBRUARY 16, 2022

Persisted Queries Persisted Queries in GraphQL are like stored procedures in Databases. To know about the Apollo's way of automated persisted queries, please follow their documentation here. In Zalando, we took a different approach - to disable GraphQL in production. It might sound counterintuitive at first - we have a GraphQL service, but we disable GraphQL in production - why?

Database 40

Database Coding Engineering Designing 40

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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

Cloudera

FEBRUARY 14, 2022

Note: This is part 2 of the Make the Leap New Year’s Resolution series. For part 1 please go here. When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. We not only enabled Spark-on-Kubernetes but we built an ecosystem of tooling dedicated to the data engineers and practitioners from first-class job management API & CLI for dev-ops automatio

Data Engineer 119

Data Engineer Data Engineering Engineering Data Pipeline 119

KDnuggets

FEBRUARY 14, 2022

Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.

Machine Learning 139

Machine Learning 139

ProjectPro

FEBRUARY 16, 2022

Optical Character Recognition (OCR) has been used for decades across multiple sectors in the industry, such as banking, retail, healthcare, transportation, and manufacturing. With a tremendous increase in digitization in this 21st century, a.k.a Information age, OCR Python applications are witnessing huge demand. In fact, according to a recent survey, the market share of OCR will increase by 16.7% (compound annual growth rate) from 2021 to 2028 from 7.46 billion USD in 2020.

Python 52

Python Banking Data Science Transportation 52

Rockset

FEBRUARY 14, 2022

Fast analytics on fresh data is better than slow analytics on stale data. Fresh beats stale every time. Fast beats slow in every space. Time and time again, companies in a wide variety of industries have boosted revenue, increased productivity and cut costs by making the leap from batch analytics to real-time analytics. One of the perks of my job is getting to work every day with trailblazers of the real-time revolution, whether it is Doug Moore at construction SaaS provider Command Alkon , Carl

BI 52

BI Data Warehouse ETL Tools Data Lake 52

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

FEBRUARY 17, 2022

Learn how to train, optimize, and build API with a few lines of code using AutoXGB.

Coding 131

Coding Building Machine Learning 131

KDnuggets

FEBRUARY 18, 2022

The best way to stop your enemy is to know your enemy. Here are four ways hackers are using data science - and how they can be stopped.

Data Science 122

Data Science Data 122

KDnuggets

FEBRUARY 17, 2022

Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak reveals how this new groundbreaking decentralized architecture looks for both small startups and large enterprises.

Architecture 116

Architecture Data 116

KDnuggets

FEBRUARY 17, 2022

Ever wonder how Google or Bing finds similar images to your image? The algorithms for generating text based 10 blue-links are very different from finding visually similar or related images. In this article, we will explain one such method to build a visual search engine. We will use the Caltech 101 dataset which contains images of common objects used in daily life.

Engineering 108

Engineering Building Algorithm Datasets 108

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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