Wed.Mar 06, 2024

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Making messaging interoperability with third parties safe for users in Europe

Engineering at Meta

To comply with a new EU law, the Digital Markets Act (DMA), which comes into force on March 7th, we’ve made major changes to WhatsApp and Messenger to enable interoperability with third-party messaging services. We’re sharing how we enabled third-party interoperability (interop) while maintaining end-to-end encryption (E2EE) and other privacy guarantees in our services as far as possible.

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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics. We’re at a crucial point in time where the excitement and potential surrounding AI has elevated the importance of improving access to the mission-critical data that helps organizations implement it at scale.

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Exploring the Potential of Transfer Learning in Small Data Scenarios

KDnuggets

This article has shown how transfer learning can be used to help you solve small data problems, while also highlighting the benefits of using it in other fields.

Data 101
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How Important is Training & Development in 2024

Knowledge Hut

Training and development are critical for any professional. It helps you improve your performance and helps your organization meet its business goals. Building new skills makes an individual more efficient at a job or capable of handling different responsibilities and challenges. Developing skills is possible at the place of work or away from employment.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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5 Free Courses to Master SQL for Data Science

KDnuggets

Want to become an SQL expert? Check out these free courses to learn and hone your SQL skills for data science.

SQL 114
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KX and Databricks Integration: Advancing Time-series Data Analytics in Capital Markets and Beyond

databricks

KX and Databricks have partnered to develop time series analytics solutions for the capital markets sector to support many use cases including quant.

More Trending

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Simplify PySpark testing with DataFrame equality functions

databricks

The DataFrame equality test functions were introduced in Apache Spark™ 3.5 and Databricks Runtime 14.2 to simplify PySpark unit testing. The full set o.

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Women on Wednesday with Carly Kristoff

Precisely

March is Women’s History Month which means there’s no better time to highlight all the women at Precisely and incredible work that they do. The Precisely Women in Technology (PWIT) program was established to bring a network of like-minded women together to support one another, offer mentorship, and collaborate outside of the typical day-to-day roles.

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Smart Agriculture: How Machine Learning is Helping Farming

WeCloudData

Discover how machine learning is revolutionizing smart agriculture, enhancing crop yields, optimizing resources, and making farming more sustainable. Learn about the latest technologies and trends in agriculture. The post Smart Agriculture: How Machine Learning is Helping Farming appeared first on WeCloudData.

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End-to-End Data Observability and Our Rapidly Expanding Database Support

Monte Carlo

If you’ve been keeping track of our integrations page you might have noticed Monte Carlo is adding support for different databases faster than a nested loop server crash. At the start of 2023, we extended our data observability solution’s monitoring capabilities to popular transactional databases like Postgres , MySQL , and Microsoft MySQL Server. By the end of 2023, we added Azure SQL database to the list as well as enterprise databases such as Oracle DB , SAP HANA and Teradata.

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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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Energy Management: Solar Power Generation Forecasting

WeCloudData

Explore how energy management is evolving with advanced solar power generation forecasting, enabling more efficient use of renewable resources and optimizing grid performance. Dive into the future of sustainable energy solutions. The post Energy Management: Solar Power Generation Forecasting appeared first on WeCloudData.

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R-ArcGIS Bridge at the 2024 Esri Developer Summit

ArcGIS

Learn about events and workshops featuring the R-ArcGIS Bridge at the 2024 Esri Developer Summit.

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Databricks Expands Brickbuilder Program to Include Unity Catalog Accelerators

databricks

Today, we're excited to announce the launch of Brickbuilder Unity Catalog Accelerators. This is an expansion to the Brickbuilder Accelerator program, which pairs.

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Extending destination-passing style programming to arbitrary data types in Linear Haskell

Tweag

Three years ago, a blog post introduced destination-passing style (DPS) programming in Haskell, focusing on array processing, for which the API was made safe thanks to Linear Haskell. Today, I’ll present a slightly different API to manipulate arbitrary data types in a DPS fashion, and show why it can be useful for some parts of your programs. The present blog post is mostly based on my recent paper Destination-passing style programming: a Haskell implementation , published at JFLA 2024.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Databricks SQL Year in Review (Part III): User Experience

databricks

This blog continues our series looking at advancements from 2023 to the serverless data warehouse Databricks SQL. The best data warehouse is.

SQL 52
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Robinhood 24 Hour Market Reaches $10B+ in Total Volume Traded Overnight

Robinhood

On our busiest days, as much as 25% of the total daily trading volume has come from outside of traditional market hours Last year, Robinhood became the first US retail brokerage to offer 24/5 trading of single name stocks when we launched the Robinhood 24 Hour Market. The news cycle, world events, and market moving events like earnings often happen outside of US East Coast business hours.

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Something in the Wind: Weather Forecasting in the Age of AI by Peter Ling

Scott Logic

Talking about the weather: it’s a national obsession. And why not? It changes so rapidly in this part of the world, and it impacts us every day. We can all relate to checking the forecast before deciding whether to wear a coat or grab an umbrella, but think of all the critical decisions that depend on weather predictions. Should we evacuate this town?

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Python Upgrade Playbook

Lyft Engineering

PUP in action | Photo by philhearing under CC BY 2.0 DEED In this post, we’ll cover how Lyft upgrades Python at scale — 1500+ repos spanning 150+ teams — and the latest iteration of the tools and strategy we’ve built to optimize both the overall time to upgrade and the work required from our engineers. We’ve successfully used (and evolved) this playbook over multiple upgrades, from Python 2 to Python 3.10 and hope you find it useful!

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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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Government’s Cybersecurity Regulatory Framework Expands to Healthcare and Other Industries 

Snowflake

Cyberattacks are devastating, especially when they derail real-world critical services like healthcare. An especially troubling attack field is ransomware: In 2022 , 66% of U.S. hospitals were targeted in ransomware attacks, an increase of almost 50% from 2021, and 289 hospitals were affected by successful ransomware attack incidents. Healthcare organizations paid the ransom in about 61% of ransomware incidents, the highest rate of any industry.