Sat.Feb 24, 2024 - Fri.Mar 01, 2024

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Kafka to MongoDB: Building a Streamlined Data Pipeline

Analytics Vidhya

Introduction Data is fuel for the IT industry and the Data Science Project in today’s online world. IT industries rely heavily on real-time insights derived from streaming data sources. Handling and processing the streaming data is the hardest work for Data Analysis. We know that streaming data is data that is emitted at high volume […] The post Kafka to MongoDB: Building a Streamlined Data Pipeline appeared first on Analytics Vidhya.

MongoDB 217
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Happy Leap Day!

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of three topics from today’s subscriber-only The Pulse issue. Subscribe to get issues like this in your inbox, every week.

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Find Out About The Technology Behind The Latest PFAD In Analytical Database Development

Data Engineering Podcast

Summary Building a database engine requires a substantial amount of engineering effort and time investment. Over the decades of research and development into building these software systems there are a number of common components that are shared across implementations. When Paul Dix decided to re-write the InfluxDB engine he found the Apache Arrow ecosystem ready and waiting with useful building blocks to accelerate the process.

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5 Real-Time Data Processing and Analytics Technologies – And Where You Can Implement Them

Seattle Data Guy

No matter your industry, you’ll often need to make split-second business decisions in the digital age. Real-time data can help you do just that. It’s information that’s made available as soon as it’s created, meaning you don’t need to wait around for the insights you need. Real-time data processing can satisfy the ever-increasing demand for… Read more The post 5 Real-Time Data Processing and Analytics Technologies – And Where You Can Implement Them appea

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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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Anatomy of a Structured Streaming job

Waitingforcode

Apache Spark Structured Streaming relies on the micro-batch pattern which evaluates the same query in each execution. That's only a high level vision, though. Under-the-hood, there are many other interesting things that happen.

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Top 6 YouTube Series for Data Science Beginners

KDnuggets

Want to start your data science journey from home, for free, and work at your own pace? Have a dive into this data science roadmap using the YouTube series.

More Trending

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Alternatives to SSIS(SQL Server Integration Services) – How To Migrate Away From SSIS

Seattle Data Guy

SQL Server Integration Services (SSIS) comes with a lot of functionality useful for extracting, transforming, and loading data. It can also play important roles in application development and other projects. But SSIS is far from the only platform that can provide these services. You might seek alternatives to SSIS because you want a more agile… Read more The post Alternatives to SSIS(SQL Server Integration Services) – How To Migrate Away From SSIS appeared first on Seattle Data Guy.

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Introducing Apache Kafka 3.7

Confluent

Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!

Kafka 140
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Introducing DoorDash’s In-House Search Engine

DoorDash Engineering

We reviewed the architecture of our global search at DoorDash in early 2022 and concluded that our rapid growth meant within three years we wouldn’t be able to scale the system efficiently, particularly as global search shifted from store-only to a hybrid item-and-store search experience. Our analysis identified Elasticsearch as our architecture’s primary bottleneck.

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Collection of Free Courses to Learn Data Science, Data Engineering, Machine Learning, MLOps, and LLMOps

KDnuggets

Begin your data professional journey from the basics of statistics to building a production-grade AI application.

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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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Announcing Public Preview of Delta Sharing with Cloudflare R2 Integration

databricks

Special thanks to Phillip Jones, Senior Product Manager, and Harshal Brahmbhatt, Systems Engineer from Cloudflare for their contributions to this blog. Organizations across.

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Robinhood Wallet and Arbitrum Team Up to Expand Access to Layer 2s

Robinhood

As part of the collaboration, Robinhood Wallet announces access to swaps on the Arbitrum network Today at ETHDenver, Robinhood and Arbitrum announced a collaboration that simplifies the path to Layer 2s (L2s) by giving Robinhood Wallet users access to Arbitrum swaps through decentralized exchanges. By opening access to Arbitrum’s advanced scaling solutions, Robinhood Wallet users can now take advantage of low transaction costs and fast transaction speeds on one of the most popular networks in t

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Top 10 Data Science Websites to learn More

Knowledge Hut

Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. According to International Data Corporation (IDC), organizations are turning towards digitalization completely. This will help to create more investments, technology development and open various new jobs.

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Top 5 Linux Distro for Data Science

KDnuggets

If you are considering transitioning from Microsoft Windows to another operating system that suits your needs, check out these five Linux distributions for data science and machine learning.

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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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Performance Improvements for Stateful Pipelines in Apache Spark Structured Streaming

databricks

Introduction Apache Spark™ Structured Streaming is a popular open-source stream processing platform that provides scalability and fault tolerance, built on top of the S.

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Robinhood Money Drills Kicks Off 2024 With Three New Universities

Robinhood

Florida State University, Coastal Carolina University, and the University of California, Berkeley will introduce financial education coursework with support from Robinhood Money Drills Robinhood Markets, Inc. is launching Robinhood Money Drills with three new universities, including Florida State University, Coastal Carolina University, and the University of California, Berkeley.

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7 Common Mistakes Often Committed By Business Analysts

Knowledge Hut

A business analyst ensures that the end product meets the requirements and parameters of project's stakeholders. Business analyst holds the responsibility to gather the requirements through streamlined communication with stakeholders and to make the sense of collected information in order to help the project team complete the tasks successfully. The most challenging and wide-scoped task of BA is to give the users what they want instead of giving what they need during requirements gathering.

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8 Built-in Python Decorators to Write Elegant Code

KDnuggets

Developers can modify a function's behavior using decorators, without changing its source code. This provides a concise and flexible way to enhance and extend the functionality of functions.

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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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How DotSlash makes executable deployment simpler

Engineering at Meta

Andres Suarez and Michael Bolin, two software engineers at Meta, join Pascal Hartig ( @passy ) on the Meta Tech Podcast to discuss the ins and outs of DotSlash , a new open source tool from Meta. DotSlash takes the pain out of distributing binaries and toolchains to developers. Instead of committing large, platform-specific executables to a repository, DotSlash combines a fast Rust program with a JSON manifest prefixed with a #!

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Introducing Robinhood Retirement For Independent Workers

Robinhood

Robinhood was founded on the belief that everyone should have access to the financial system. A growing number of people are moving away from the usual 9-5, shifting towards freelancing and side hustles to make a living. But traditional systems haven’t caught up – more than 50% of independent workers don’t feel that they have effective access to retirement and savings plans.

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Marketplace Monetization: Turn Your Data and Apps into a Revenue Stream

Snowflake

Snowflake Marketplace is a vibrant resource, with hundreds of providers offering thousands of ready-to-try or ready-to-buy third-party data sets, applications and services. Many of these providers make their products available on Snowflake Marketplace for Snowflake customers to purchase — and they use our integrated Marketplace Monetization capabilities to simplify the process and speed up procurement and sales cycles.

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Free Data Analyst Bootcamp for Beginners

KDnuggets

Want to become a data analyst? This free beginner-friendly data analyst bootcamp is all you need.

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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.

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Adding Intelligence to Databricks Search

databricks

We are thrilled to announce major improvements to the search capabilities in your Databricks workspace. These enhancements build on DatabricksIQ, the Data Intelligence.

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I3S or 3D tiles – What data source to use for 3D layer in ArcGIS?

ArcGIS

You can work with many 3D formats in ArcGIS like i3s and 3D tiles. What is best for your workflow depends on on the 3D capabilities required.

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Snowflake Startup Spotlight: Chabi

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we learn about awesome companies building businesses on Snowflake. In this edition, find out how Angad Singh, co-founder and CEO of Chabi , is working to give every company the chance to become data-driven with a modern data stack. How would you explain Chabi? Chabi is your all-in-one data stack with state-of-the-art, built-in data warehouse, ETL, data modeling and personalized analytics that are tailored to meet your unique data and BI needs.

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AI Con USA: Navigate the Future of AI

KDnuggets

AI Con USA is scheduled for June 2-7 in Las Vegas, and it's bringing together some of the brightest minds in the realm of artificial intelligence and machine learning.

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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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A Deep Dive into the Latest Performance Improvements of Stateful Pipelines in Apache Spark Structured Streaming

databricks

This post is the second part of our two-part series on the latest performance improvements of stateful pipelines. The first part of this.

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Mainframe and IBM i Observability: Why It Matters to IT

Precisely

In decades past, IT systems were relatively self-contained. Inputs, outputs, and integration points were clearly defined and comparatively few. Today’s systems, however, are highly interconnected and constantly in flux. Data flows from edge devices to core applications and back again. A myriad of data analytics tools provide up-to-the-minute insights to decision-makers throughout the organization.

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Simplify Spatial Indexing with the Power of H3 — What the World Needs Now Is a Hexagonal Grid

Snowflake

Did you know that approximately two thirds of Snowflake customers capture the latitude and longitude of some business entity or event in their account? While latitude and longitude columns can often be used by BI tools and Python libraries to plot points on a map, or shade common administrative boundaries such as states, provinces and countries, companies can do so much more with this valuable geospatial data to perform complex analyses.

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5 Free Courses to Master Statistics for Data Science

KDnuggets

Want to learn statistics for data science? Check out these free courses to learn essential statistics concepts.

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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