Mon.Jul 01, 2024

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Harnessing Enterprise AI: Innovations & Wins at Databricks

databricks

Discover how Databricks unlocks the transformative power of enterprise AI, from fraud detection to financial forecasting, and learn to harness AI's potential in your business.

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SQL or Python for Data Transformations?

Start Data Engineering

1. Introduction 2. Code is an interface to the execution engine 3. How to choose the execution engine and the coding interface 3.1. Chose execution engine based on your workload 3.1.1. Types of execution engine 3.1.2. Criteria to chose your execution engine 3.2. Chose coding interface for people who will maintain the pipeline 3.2.1. Types of coding interfaces 3.2.2.

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How to Navigate the Filesystem Using Bash

KDnuggets

Let's take a look at how to navigate the Unix/Linux filesystem using bash.

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Training MoEs at Scale with PyTorch and Databricks

databricks

Mixture-of-Experts (MoE) has emerged as a promising LLM architecture for efficient training and inference. MoE models like DBRX , which use multiple expert.

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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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16 Ways Insurance Companies Can Use Data and AI

Snowflake

How insurance leaders can use the power of data and AI to transform the industry, from claims analytics to risk selection and beyond There is a growing recognition that insurers can introduce data, analytics and AI into virtually all of the important insurance functions and workflows, including product development, pricing and risk selection, underwriting, claims management, contact center optimization, distribution management, reinsurance, and understanding and shaping customer journeys.

More Trending

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Top 5 Data Mining Techniques

Precisely

Each of the following data mining techniques cater to a different business problem and provides a different insight. Knowing the type of business problem that you’re trying to solve will determine the type of data mining technique that will yield the best results. In today’s digital world, we are surrounded with big data that is forecasted to grow 40%/year into the next decade.

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How To Leverage Docker Cache for Optimizing Build Speeds

KDnuggets

Want to make your Docker builds much faster? Learn how to do so by leveraging Docker's layer caching mechanism.

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How to Load Data from HubSpot to BigQuery

Hevo

Need a better way to handle all that customer and marketing data in HubSpot. Transfer it to BigQuery. Simple! Want to know how?

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Robinhood Acquires Pluto, AI Investment Research Platform

Robinhood

Robinhood Markets, Inc. is excited to announce the acquisition of Pluto Capital Inc., an artificial intelligence (AI) powered investment research platform that delivers highly-customized investment strategies based on customer needs and financial goals. With this strategic acquisition, investors can look forward to a new era of intelligent, data-driven investing at Robinhood.

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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How to Migrate Data from MySQL to Snowflake Destination

Hevo

Relational databases, such as MySQL, have traditionally helped enterprises manage and analyze massive volumes of data effectively. However, as scalability, real-time analytics, and seamless data integration become increasingly important, contemporary data systems like Snowflake have become strong substitutes.

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20 Best ETL Tools in 2024(Features & Pricing)

Hevo

As data continues to grow in volume and complexity, the need for an efficient ETL tool becomes increasingly critical for a data professional. ETL tools not only streamline the process of extracting data from various sources but also transform it into a usable format and load it into a system of your choice.