Tue.Feb 14, 2023

article thumbnail

Top 5 Interview Questions on Apache Oozie

Analytics Vidhya

Introduction Today we have an abundance of Hadoop jobs that are running in a constant plane, but we can’t schedule these jobs manually, we need some kind of scheduler to handle this flow. Apache Oozie is one such job scheduler that allows users to run, schedule, and manage Hadoop jobs in a distributed environment. Source: […] The post Top 5 Interview Questions on Apache Oozie appeared first on Analytics Vidhya.

Hadoop 218
article thumbnail

Docker for Data Science Cheat Sheet

KDnuggets

Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Explore Antarctica’s topography with the British Antarctic Survey

ArcGIS

Explore the Antarctic's coastline and contours from the British Antarctic Survey that are available in the ArcGIS Living Atlas.

105
105
article thumbnail

Learn MLOps From These GitHub Repositories

KDnuggets

Kickstart your MLOps career with these curated GitHub repositories.

159
159
article thumbnail

Get Better Network Graphs & Save Analysts Time

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.

article thumbnail

Platform Engineering: Predictions and Prospects in 2023 & Beyond

Workfall

Reading Time: 7 minutes Platform Engineering has received a lot of attention, but there is some misunderstanding about what it is and, perhaps more importantly, how it differs from more well-known disciplines like SRE and DevOps. Platform Engineering is the rebranded DevOps or it is the next stage of DevOps evolution? Why suddenly everyone has started talking about it?

article thumbnail

7 AI-Powered Tools to Enhance Productivity for Data Scientists

KDnuggets

Discover how AI-Powered Tools like DataRobot, H20.ai, Big Panda, HuggingFace can enhance your Productivity as a Data Scientist.

Data 108

More Trending

article thumbnail

How Retailers Optimize Delivery and Customer Experience

Snowflake

In today’s omnichannel retail sales landscape, customers expect products to be available when and where they need them—both in brick-and-mortar stores as well as online. Retailers must fulfill a variety of new models, including in-store pickup options and same-day delivery. To do so, they need granular and timely insights into all aspects of the business in order to predict demand and optimize inventory, supply chains, and fulfillment.

Retail 52
article thumbnail

Supply Chain Design: What Is It And Why Is It Important?

Edureka

There are many functions in an organisation, but the one that occupies the prime position is the supply chain. It is because this is what ensures prompt delivery of goods to the customer at the least cost. It helps to satisfy the user and improve profitability for the company. These are the most important goals for any firm. With the increasing demand for reduced delivery time, companies are looking at ways to optimise their supply chain.

article thumbnail

ETL Batch Processing Made Easy: A Comprehensive 101 Guide

Hevo

Today, companies have access to a broad spectrum of big data gathered from various sources. These sources include web crawlers, sensors, server logs, marketing tools, spreadsheets, and APIs. To gain a competitive advantage in the business, it is crucial to gain proficiency in using data to improve business operations.

Process 52
article thumbnail

What Is Nature of Business Ethics And Why They Are Important?

Edureka

Businesses run to earn revenue and make profits. Different organisations have different ways of earning revenue. While some of them sell goods, others make money by offering various services. Companies need people to work to perform their daily activities. These employees get paid for the work that they do. The company must follow certain moral principles and social values in all these functions.

Finance 52
article thumbnail

Understanding User Needs and Satisfying Them

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.

article thumbnail

dbt Redshift: Set Up & 3 Use Cases Explained

Hevo

ChatGPT has transformed the way businesses look at AI to support their functions. It has started showing its power by automating customer support and improving customer experience. Dbt (data build tool) is just like that. You can create your own transformations with dbt using SQL SELECT statements.

SQL 52
article thumbnail

How Michelin Cut Kafka Costs by 35% with Confluent Cloud

Confluent

Apache Kafka might be free, but using it at scale is incredibly expensive.

Kafka 52
article thumbnail

Lessons in Technical Debt from Southwest Airlines

The Modern Data Company

It was hard to miss Southwest Airlines’ holiday travel fiasco earlier this year. After a winter storm blew through a large swath of the United States, Southwest’s systems and processes had a complete meltdown. It took thousands of canceled flights, many days, and countless disgruntled employees and customers before things got back to normal. While the weather certainly was a catalyst for the mess, it is widely understood that a high level of technical debt within Southwest’s operational systems

article thumbnail

Snowpark-Optimized Warehouses: Production-Ready ML Training and Other Memory-Intensive Operations

Snowflake

With Snowpark , our customers have begun to leverage Snowflake for more complex data engineering and data science workloads using languages such as Java and Python. This new wave of developers using Snowflake often requires more flexibility in the underlying compute infrastructure to unlock memory-intensive operations on large data sets such as ML training.

Python 79
article thumbnail

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

article thumbnail

Why Data Quality and Enrichment Are Critical to Claims Management Digital Transformation

Precisely

Digital transformation is a business imperative for every industry, especially insurance. That’s why more insurance companies are now turning to innovations like robotic process automation (RPA) and others. And when done right, you can see why these investments are worth it. They accelerate the digital transformation of claims management, which in turn … optimizes agent efficiency and effectiveness increases customer satisfaction reduces fraud With that being said, how can you make sure you’ll r

article thumbnail

The Data Founder Story: Why We Founded Speedb

Data Engineering Weekly

My name is Adi Gelvan , and I co-founded Speedb in November 2020 in Israel with two former colleagues. Speedb is a next-generation KVS storage engine that’s a drop-in replacement for RocksDB , the de facto industry standard. We open-source it to the developer community based on technology delivered in an enterprise edition for the past two years.

article thumbnail

Why Data Quality and Enrichment Are Critical to Claims Management Digital Transformation

Precisely

Digital transformation is a business imperative for every industry, especially insurance. That’s why more insurance companies are now turning to innovations like robotic process automation (RPA) and others. And when done right, you can see why these investments are worth it. They accelerate the digital transformation of claims management, which in turn … optimizes agent efficiency and effectiveness increases customer satisfaction reduces fraud With that being said, how can you make sure you’ll r

article thumbnail

Democratizing Data Streaming with Striim Developer

Striim

Everyone wants real-time data…in theory. You see real-time stock tickers on TV, you use real-time odometers when you’re driving to gauge your speed, when you check the weather in your app. Yet the “Modern Data Stack” is largely focussed on delivering batch processing and reporting on historical data with cloud-native platforms. While these cloud analytics platforms have transformed business operations, we are still missing the real-time piece of the puzzle and many data engineers feel inclined

article thumbnail

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.