Mon.Mar 13, 2023

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Top 6 Azure Synapse Analytics Interview Questions

Analytics Vidhya

Introduction Microsoft Azure Synapse Analytics is a robust cloud-based analytics solution offered as part of the Azure platform. It is intended to assist organizations in simplifying the big data and analytics process by providing a consistent experience for data preparation, administration, and discovery. It connects with various data sources and allows organizations to analyze their […] The post Top 6 Azure Synapse Analytics Interview Questions appeared first on Analytics Vidhya.

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The Collapse of Silicon Valley Bank

The Pragmatic Engineer

It’s been a wild weekend, starting Friday. In case you somehow missed it: we went through the fastest bank run in history, in an event that impacted about half of all VC-funded startups in the US and UK. On Friday night, Silicon Valley Bank (SVB) was shut down by regulators, triggering a weekend of fear and uncertainty for many people and businesses with questions like: “can we make payroll next week?

Banking 180
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Announcing FawltyDeps - a dependency checker for your Python code

Tweag

It is a truth universally acknowledged that the Python packaging ecosystem is in need of a good dependency checker. In the least, it’s our hope to convince you that Tweag’s new dependency checker, FawltyDeps, can help you maintain an environment that is minimal and reproducible for your Python project, by ensuring that required dependencies are explicitly declared and detecting unused dependencies.

Python 140
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5 More Command Line Tools for Data Science

KDnuggets

Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.

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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.

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How Will Artificial Intelligence Help Good Managers Become Great?

U-Next

Introduction – Adaptation and Evolution of AI in Management Several businesses use Machine Learning and Artificial Intelligence in management. The most significant AI tools are based on a vast amount of data, recognizing patterns, learning from them, and making definitive predictions. AI is becoming popular in project management because of its exceptional capacity to track particular trends and predict project situations and results.

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Explore the New Calculate Composite Index Tool in ArcGIS Pro 3.1

ArcGIS

Create indices measuring risk, equity, vulnerability, and more, using the new Calculate Composite Index tool.

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How to Find Set Difference in Python

KDnuggets

Learn how to find the set difference between two Python sets using the difference() method and the difference (-) operator.

Python 92
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What’s new with the ArcGIS Utility Network at ArcGIS Pro 3.1

ArcGIS

Learn more about exciting new functionality and improvements made to ArcGIS Utility Network with ArcGIS Pro 3.

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Unsupervised Outlier Detection on Databricks

databricks

Kakapo (KAH-kÉ™-poh) implements a standard set of APIs for outlier detection at scale on Databricks. It provides an integration of the vast PyOD.

IT 75
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Back To Basics, Part Dos: Gradient Descent

KDnuggets

Explore the inner workings of the powerful optimization algorithm.

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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.

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4 Ways to Write Data To Parquet With Python: A Comparison

Towards Data Science

Learn How To Efficiently Write Data To Parquet Format Using Pandas, FastParquet, PyArrow or PySpark.

Python 75
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New ChatGPT and Whisper APIs from OpenAI

KDnuggets

A quick overview of ChatGPT and Whisper models API.

Process 99
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Beyond the Hype: Quantum Computing – hype and not hype simultaneously? by Colin Eberhardt

Scott Logic

In this episode – the first of a two-parter – I’m joined by Oliver Cronk to talk to Denis Mandich, CTO of Qrypt, a company that creates quantum-secure encryption products. Denis is also a physicist and has a wealth of knowledge when it comes to Quantum Computing. Our conversation covers the physics that underpins this technology, including the strange concepts of superposition and entanglement.

Cloud 52
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Linking Data Governance to Business Goals

Precisely

Most business leaders understand that data is a strategic asset. Despite that understanding, many organizations lack a clear framework for organizing, managing, and governing their valuable data assets. In many cases, that realization prompts executive leaders to create a data governance program within their company. That’s all well and good, provided such initiatives have a clear direction.

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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.

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14 key principles of business management

Edureka

Companies comprise various functions. A company has different departments looking after the numerous activities that are essential for the organization. Finance, human resource management, marketing, production, etc., are different functions that must come together to achieve a common goal. All these departments consist of numerous employees who must all work towards the same objectives even if they are doing different tasks.

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Lemlist to Snowflake Integration: 2 Easy Methods to Connect

Hevo

As a data engineer, you hold all the cards to make data easily accessible to your business teams. Your marketing team just requested a Lemlist to Snowflake connection on priority. We know you don’t want to keep your data scientists and business analysts waiting to get critical business insights.

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Customizing Chart Colors with Superset & Preset

Preset

A look into customizing chart color palettes, for open-source Apache Superset users and Preset users alike. Covering palette creation, custom overrides, and more.

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Gem Builds an Automated, Real-Time Threat Detection and Response Platform for Cloud Security with Snowflake

Snowflake

The scale and complexity of telemetry in the cloud overwhelms traditional security solutions. Discover how Gem built a context-aware threat response platform on Snowflake’s Data Cloud to offer its clients real-time detection and response in a single dashboard. As cloud environments become ever more complex, the risk of sophisticated security breaches increases, too—particularly for organizations operating in sensitive industries, such as financial services.

Cloud 52
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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.

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An Overview of Deep Learning For Computer Vision

U-Next

Introduction Deep Learning techniques have recently been demonstrated to perform better than state-of-the-art Machine Learning methods in several domains, with computer vision being one of the most notable examples. Convolutional Neural Networks, Deep Boltzmann Machines, Deep Belief Networks, and Stacked Denoising Autoencoders are some of the most prominent algorithms of Deep Learning in computer vision.

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What is the CXO Programme? Objectives & Features

Edureka

Customer demands are increasing daily, and companies are struggling to meet all of them. Customer experience is crucial for companies to survive in this highly competitive market. Organisations failing to meet customer requirements will slowly disappear from the scene. All firms must be highly sensitive to the buyers’ needs and make their journeys as exciting, smooth and fruitful as possible.

Media 52
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Importance of Leadership in Business Management

Edureka

If you have seen most of the successful companies in the world, one person is always in focus. When you talk about Apple, you immediately remember Steve Jobs. The names come to your mind because they were effective leaders who steered their companies to success. Leadership is an essential quality in every business. A good leader need not be one who has a lot of experience or one that holds an executive post.