Thu.May 04, 2023

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Amazon Kinesis is not Apache Kafka

Waitingforcode

Open Source tools helped me switch to the cloud world a lot. The managed cloud services often share the same fundamentals as their Open alternatives. However, there is always something different. Today I'll focus on these differences for Amazon Kinesis service and Apache Kafka ecosystem.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

Netflix Tech

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience.

Utilities 135
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How to Transition into Data Science from a Different Background?

KDnuggets

Are you interested in data science but don't have a relevant background? Don't worry, you can still learn the skills and tools you need to become a successful data scientist.

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Introducing Confluent Platform 7.4

Confluent

Hardening the innovative feature set introduced in recent releases, Confluent Platform 7.4 enables you to enhance scalability and simplify your architecture, accelerate time to market, and improve data quality.

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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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Top 15 Scrum Master Skills for Your Resume

Knowledge Hut

In today's ever-changing business environment, projects are evolving and becoming more complex. Owing to the vitality of business projects, it is necessary to ensure they are supervised by skilled professionals and delivered on a timely basis. This is where a Scrum Master comes into the picture. A Scrum Master is an experienced professional with a unique set of managerial skills and can mentor and lead a team until the project's completion.

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The Ultimate Open-Source Large Language Model Ecosystem

KDnuggets

GPT4ALL is a project that provides everything you need to work with state-of-the-art open-source large language models.

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How To Change Google Sheet Permissions with Python

Towards Data Science

Programmitaclly sharing Google Sheets with specific users using the Python API Continue reading on Towards Data Science »

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Empowered to Raise the Bar

databricks

We’re excited to feature an in-depth interview with Brickster, Özge Bekleyen! Based in Zurich, she leads a team of Specialist Solutions Architects. In th.

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Re-implementing LangChain in 100 lines of code

Scott Logic

Comments

Coding 144
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Strengthening the Lakehouse Governance Ecosystem: Databricks Ventures Invests in Immuta

databricks

Databricks Ventures is excited to announce our investment in Immuta's Series E funding round, marking the latest step in our six-year partnership with.

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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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Data Streaming Platforms…To Build or To Buy?

Confluent

Do you have the expertise and resources to self-manage and custom-build your data streaming solution? Or should you offload these tasks to a fully managed data streaming platform? Our guide explores pros and cons of each.

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Got five minutes? Get to know hexagons

ArcGIS

Why on earth is everyone talking about hexagons?

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How to Load Data From File to Table in MySQL? 3 Easy Methods

Hevo

One of the most common formats to record and store data are CSV(Comma Separated Values) and Excel files. As the data in these CSV files grows it becomes important to store and maintain this data in a scalable Database Management System like MySQL.

MySQL 52
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How Snowflake Native Apps Help DTCC Bring Hypothetical Market Scenarios to Customers

Snowflake

DTCC stands at the center of global trading activity, processing trillions of dollars of securities transactions on a daily basis. This year, DTCC celebrates its 50th anniversary, and over the past five decades we’ve led the financial services industry through unprecedented historical events and market disruptions. The market volatility we’ve seen in recent years has only underscored the value of using data to model and analyze market behavior and avoid to manage risk for the Street.

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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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ON-DEMAND WEBINAR: Data Products and Data Mesh

DataKitchen

All the cool kids are talking about Data Products and Data Mesh. The data companies have gotten ahold of terms and started to say their twenty-year-old ETL tools are the perfect tools to do that fashionable product-meshy stuff. What is going on? The post ON-DEMAND WEBINAR: Data Products and Data Mesh first appeared on DataKitchen.

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Groupe Beaumanoir : Snowflake, au cœur d’usages Data en croissance

Snowflake

En migrant son socle data vers la plateforme Snowflake, le créateur de mode et ses 2 000 points de vente dans le monde développent leurs usages data, en bénéficiant d’une meilleure autonomie des équipes DSI, de coûts prévisibles et justes, grâce au paiement à l’usage et d’une meilleure interopérabilité avec l’ensemble du système d’information. Le groupe Beaumanoir, dans toutes les villes de France Depuis sa création en 1981, le Groupe Beaumanoir ne cesse de s’élargir et compte aujourd̵

Hadoop 52
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Webinar Summary: Data Mesh and Data Products

DataKitchen

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more complicated and, in the long run, it kills productivity. Examples of complexity within data and analytics teams include multiple teams with different roles, thousands of different data sets of different types and shapes, each with uniq

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Data Engineer Salary in 2023 [Freshers to Experienced]

Knowledge Hut

Data engineering is a prominent yet emerging technological field that is currently enjoying high demand. The Bureau of Labor Statistics stated that the demand for data engineer would increase significantly in the coming four to five years, and also as per Glassdoor salary reports as of May 2022 professionals in the field earn around $1,15,176 to $1,68,000 per year.

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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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Generative AI Solution Architecture for Complex Enterprises by Oliver Cronk

Scott Logic

My career as a technology strategist and architect has tended to require looking further out – considering not just the opportunities from technology but also the risks. Nowhere in contemporary technology is that more pertinent than GenAI (Generative AI). So, as we follow the track of generative AI, will we eventually see the light at the end of the tunnel, or will that light be the headlights of an oncoming train?!

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What is the modern data experience?

ThoughtSpot

Business is won or lost based on the quality of the experience you deliver to customers, partners, vendors, and employees. These experiences are built entirely on data. Harnessing data to deliver value is the single most powerful way to engage today’s demanding consumers—not to mention capturing market share and accelerating strategic decision-making.

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Why You Need Data Observability to Improve Data Quality

Precisely

Experts estimate that the world is generating 2.5 quintillion exabytes of data every day. That information resides in multiple systems, including legacy on-premises systems, cloud applications, and hybrid environments. It includes streaming data from smart devices and IoT sensors, mobile trace data, and more. Data is the fuel that feeds digital transformation.

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