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.

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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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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Why I Love Rust, but Deploy Python

Confessions of a Data Guy

I’m not sure if others have this same problem, maybe they are lucky, they get to build in their favorite language 24/7, it’s their tool of choice. I feel like I have a great burden to bear, a heavy one. I love to write Rust … but I deploy Python. Even when I know I […] The post Why I Love Rust, but Deploy Python appeared first on Confessions of a Data Guy.

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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 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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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.

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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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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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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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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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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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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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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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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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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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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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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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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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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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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7 Free Harvard University Courses to Advance Your Skills

KDnuggets

Transform your tech career with one of the best universities in the world!

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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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Business Intelligence 101: How To Make The Best Solution Decision For Your Organization

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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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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Using Streams Replication Manager Prefixless Replication for Kafka Topic Aggregation

Cloudera

Businesses often need to aggregate topics because it is essential for organizing, simplifying, and optimizing the processing of streaming data. It enables efficient analysis, facilitates modular development, and enhances the overall effectiveness of streaming applications. For example, if there are separate clusters, and there are topics with the same purpose in the different clusters, then it is useful to aggregate the content into one topic.

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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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Fine-Grained Human Feedback

databricks

In this blog post, we discuss Fine-Grained RLHF, a framework that enables training and learning from reward functions that are fine-grained in two.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.