Tue.Feb 21, 2023

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Understanding the Basics of Data Warehouse and its Structure

Analytics Vidhya

Introduction Nowadays, the corporate environment changes according to technology. Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis. This is where data warehousing is a critical component of any business, allowing companies to store and manage vast amounts of data. It provides the necessary foundation for businesses to […] The post Understanding the Basics of Data Warehouse and its Structure appeared first on Analy

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Data Cleaning with Python Cheat Sheet

KDnuggets

An intuitive guide that will help you to prepare and preprocess your dataset before applying the machine learning model.

Python 159
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Top 5 SQL Interview Questions

Analytics Vidhya

Introduction SQL is a database programming language created for managing and retrieving data from Relational databases like MySQL, Oracle, and SQL Server. SQL(Structured Query Language) is the common language for all databases. In other terms, SQL is a language that communicates with databases. It is a query language used to store and retrieve data from […] The post Top 5 SQL Interview Questions appeared first on Analytics Vidhya.

SQL 168
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SQL Streambuilder Data Transformations

Cloudera

SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL as a part of Cloudera Streaming Analytics, built on top of Apache Flink. It enables users to easily write, run, and manage real-time continuous SQL queries on stream data and a smooth user experience. Though SQL is a mature and well understood language for querying data, it is inherently a typed language.

SQL 113
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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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SQL Interviews Preparations Material Resources

KDnuggets

SQL is a must-known programming language for data people, and many modern jobs have SQL as a prerequisite. Here are material collections to prepare for your SQL interview.

SQL 108
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Apache Kafka with Control and Data Planes

Confluent

With the advent of service mesh and microservices, control and data planes have become popular. This post shows you how to ensure security and governance controls in your Kafka system.

Kafka 104

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The 3Ds of Migrating Teradata Workloads to the Databricks Lakehouse Platform

databricks

Many large enterprises have used Teradata data warehouses for years, but the storage and processing costs of on-premises infrastructure severely restricted who could.

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How to Connect Azure AD Managed Identities to AWS Resources

Towards Data Science

Setup secret-less access from Azure Data Factory to AWS S3 Continue reading on Towards Data Science »

AWS 88
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Gartner Report: 5 Ways to Enhance Your Data Engineering Practices

Ascend.io

According to Gartner , “organizations that focus on business value, as opposed to technological enhancements, relative to data engineering efforts are more efficient in prioritizing data delivery demands” In the same vein, “many organizations are operating monolithic data systems and processes that are massively slowing their data delivery time.” Today, data engineering teams have a ton of pieces to manage and spend 90% of their time on integrations and maintenance.

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Data Fabric: The Future of Data Architecture

Monte Carlo

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Top 7 Python Image Processing Libraries To Excel in Data Science

ProjectPro

By 2029, the global image processing market will likely reach USD 151,632.6 million. Isn’t that interesting? Image processing is a technique used to modify or enhance an image or extract relevant details from it. Many technical areas, including biometric sensing, remote sensing, industrial machine vision, driver assistance/driverless cars, facial recognition , virtual reality/augmented reality, and many others, have greatly benefitted from innovations in image processing.

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Data Fabric: The Future of Data Architecture

Monte Carlo

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

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How to Become Databricks Certified Apache Spark Developer?

ProjectPro

With around 35k stars and over 26k forks on Github, Apache Spark is one of the most popular big data frameworks used by 22,760 companies worldwide. Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations. The next evolutionary shift in the data processing environment will be brought about by Spark due to its exceptional batch and streaming capabilities.

Scala 52
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Cross Culture Management: What Is It and Why Is It Important?

Edureka

In this era of globalisation, borders are becoming blurred, and people from different countries and regions interact without reservation. The internet has facilitated us to reach out to anyone on the globe at any time without any restrictions. The globalisation of business has led to companies having people from different ethnicities working for them.

IT 52
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

AWS or Azure? Cloudera or Databricks? With so many data engineering certifications available , choosing the right one can be a daunting task. Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue.

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Who Is A Supply Chain Analyst? How To Become One?

Edureka

Customer satisfaction and improving profits are the two main objectives of every company. Without loyal customers, a company can’t grow. Profits are also essential for the development of the organisation. To achieve these, one must know what factors affect these two goals and how to ensure them. The supply chain is one of the functions that assumes great importance in ensuring customer satisfaction and profits.

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Gartner Report: 5 Ways to Enhance Your Data Engineering Practices

Ascend.io

According to Gartner , “organizations that focus on business value, as opposed to technological enhancements, relative to data engineering efforts are more efficient in prioritizing data delivery demands” In the same vein, “many organizations are operating monolithic data systems and processes that are massively slowing their data delivery time.” Today, data engineering teams have a ton of pieces to manage and spend 90% of their time on integrations and maintenance.

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Corporate Level Strategies: Definition, Meaning & Frameworks

Edureka

As the competitive landscape continues to evolve, organisations must employ effective corporate-level strategies to help them stand out from their competitors. But what exactly is a corporate-level strategy? And how do you go about creating one? In this blog post, we’ll be exploring the definition and meaning of corporate-level strategies and frameworks you can use to ensure your success in this arena.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Transforming Data with DBT BigQuery: A Comprehensive 101 Guide

Hevo

As data volumes continue to grow, organizations seek ways to make sense of it all, and data warehouses are at the center. BigQuery is a popular cloud-based data warehouse that allows for powerful analytics and querying at scale. However, many businesses struggle to effectively clean, standardize, and transform their raw data in BigQuery.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” By Robert Thanaraj , Ehtisham Zaidi , and 2 more. Gartner suggests in the article that successful Data Engineering teams have two crucial challenges. How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done.

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Ethical Hacker Salary in USA in 2023: How to improve PayScale?

Knowledge Hut

A previous version of the Official Annual Cybercrime Report estimated that by 2021, the annual worldwide cost of cybercrime would surpass $6 trillion, which is a 2X increase ($3 trillion) from the cost in 2015. Without a question, hackers have developed a reputation as bad characters who use shady techniques to hurt people. But not all hackers; some of them just use their skills and expertise for good.

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Best practices for cross-government data sharing

databricks

Government data exchange is the practice of sharing data between different government agencies and often partners in commercial sectors. Government can share data.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Gartner Report: 5 Ways to Enhance Your Data Engineering Practices

Ascend.io

According to Gartner , “organizations that focus on business value, as opposed to technological enhancements, relative to data engineering efforts are more efficient in prioritizing data delivery demands” In the same vein, “many organizations are operating monolithic data systems and processes that are massively slowing their data delivery time.” Today, data engineering teams have a ton of pieces to manage and spend 90% of their time on integrations and maintenance.

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How to Scale Data Reliability

Acceldata

Learn how to scale data reliability for your enterprise.

Data 52
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How To Connect DBT to BigQuery? The Complete Guide 101

Hevo

Connect DBT to BigQuery: query results

52
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What Is Infrastructure as Code? | Propel Data Analytics Blog

Propel Data

Terraform and CDK, the pros and cons of each, and how you can use infrastructure as code with Propel.

Coding 40
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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How Meta brought AV1 to Reels

Engineering at Meta

We’re sharing how we’re enabling production and delivery of AV1 for Facebook Reels and Instagram Reels. We believe AV1 is the most viable codec for Meta for the coming years. It offers higher quality at a much lower bit rate compared with previous generations of video codecs. Meta has worked closely with the open source community to optimize AV1 software encoder and decoder implementations for real-world, global-scale deployment.

Algorithm 117
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Top 60+ PMP Exam Questions and Answers for 2023

Knowledge Hut

The Project Management Professional (PMP) certification is a widely recognized and valued credential across any industry. Getting a glimpse of the curated and mostly asked PMP exam questions in this popular certification does a dream come true for any aspirant. This hand-picked and chosen list of Project management professional questions and answers for 2023 will help you understand different question types, how to tackle typical scenario-based, interpretative, and other questions as well as com

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Startup Spotlight: APIs on Top of Snowflake with Propel

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this Q&A, we hear from Nico Acosta, CEO and Co-Founder of Propel, about how his company is building an API platform to equip developers to build with data, and why data architecture is the most important technical decision a company will make.

AWS 121
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Hotel Price Prediction: Hands-On Experience of ADR Forecasting

AltexSoft

Hotel price prediction is a critical aspect of the travel industry, and with the rise of machine learning , it has become more precise and accurate. The key objective behind this task is to set the best booking prices to entice customers and ensure that hotels take full advantage of their business potential. This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.