KDnuggets
JULY 19, 2023
This article explores the technical details and implications of Meta's newly released Llama 2, a large language model that promises to revolutionize the field of generative AI. We delve into its capabilities, performance, and potential applications, while also discussing its open-source nature and the company's commitment to safety and transparency.
databricks
JULY 19, 2023
Today, we’re excited to share that we’ve completed our acquisition of MosaicML, a leading platform for creating and customizing generative AI models for you.
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KDnuggets
JULY 19, 2023
GPT-Engineer is an AI-powered application builder that generates codebases from project descriptions. It simplifies building applications, including our key-value database example, and works well with GPT-4.
Scott Logic
JULY 19, 2023
We recently published our annual Environmental Impact Report , which documents Scott Logic’s carbon footprint in 2022, describes what we are currently doing to reduce our ongoing environmental impact, and sets out our roadmap to net zero. I’m extremely proud that we are managing to reduce our total emissions even as our business grows. Go read the report for all the details.
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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?
KDnuggets
JULY 19, 2023
This 2-hour training covers LLMs, their capabilities, and how to develop and deploy them. It uses hands-on code demos in Hugging Face and PyTorch Lightning.
Snowflake
JULY 19, 2023
This blog series covers how to run, train, fine-tune, and deploy large language models securely inside your Snowflake Account with Snowpark Container Services This year there has been a surge of progress in the world of open source large language models (LLMs). This world of free and open source LLMs took yet another major step forward just this week with Meta’s release of Llama v2.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Precisely
JULY 19, 2023
Data governance is fast becoming a business imperative. Many top executives and line-of-business managers lack a clear understanding of the benefits of data governance. Data is a valuable organizational asset, yet if an organization isn’t capable of fully utilizing that asset, there can be a substantial opportunity cost. Data governance plays a critical role in risk management and compliance as well.
Databand.ai
JULY 19, 2023
Data Lineage Tools: Key Capabilities and 5 Notable Solutions Ryan Yackel July 19, 2023 What Are Data Lineage Tools? Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. They trace and document the life cycle of data, from its origin to its various transformations and final destination.
Towards Data Science
JULY 19, 2023
A deep dive into MapReduce and parallelization Continue reading on Towards Data Science »
Databand.ai
JULY 19, 2023
Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. This can be achieved manually, or automatically using a combination of software and hardware tools designed specifically for this task.
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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.
KDnuggets
JULY 19, 2023
What has OpenAI been keeping in the woodwork about GPT-4?
Confluent
JULY 19, 2023
Count down the top 10 highest-rated Kafka Summit London sessions of 2023, based on audience ratings!
Hevo
JULY 19, 2023
In this article, we’ll be going over two methods you can use to connect Amazon RDS to Amazon Aurora: using Aurora Read Replica and a third-party, no-code data replication tool.
Mutt Data
JULY 19, 2023
IT has long been the backbone of modern business. There’s no company or industry that can function as efficiently without it. Therefore demand for these services has never been greater. Competition and talent are at an all-time high, giving companies a difficult choice of who to partner with. We’re incredibly proud to announce that Mutt Data has made that choice so much easier.
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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.
LinkedIn Engineering
JULY 19, 2023
Co-Authors: Sumedh Sakdeo , Lei Sun , Sushant Raikar , Stanislav Pak , and Abhishek Nath Introduction At LinkedIn, we build and operate an open source data lakehouse deployment to power Analytics and Machine Learning workloads. Leveraging data to drive decisions allows us to serve our members with better job insights, and connect the world’s professionals with each other.
Mutt Data
JULY 19, 2023
IT has long been the backbone of modern business. There’s no company or industry that can function as efficiently without it. Therefore demand for these services has never been greater. Competition and talent are at an all-time high, giving companies a difficult choice of who to partner with. We’re incredibly proud to announce that Mutt Data has made that choice so much easier.
Databand.ai
JULY 19, 2023
What is ELT (Extract, Load, Transform)? A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. This transformation could involve cleaning, aggregating, or summarizing the data.
Cloudera
JULY 19, 2023
Introduction Ozone is an Apache Software Foundation project to build a distributed storage platform that caters to the demanding performance needs of analytical workloads, content distribution, and object storage use cases. The Ozone Manager is a critical component of Ozone. It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone.
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.
Snowflake
JULY 19, 2023
Resolving and deduplicating customer identity is a fundamental challenge faced by every data team that supports marketing and business teams. Without the ability to accurately identify individuals within the vast sea of data, delivering reliable dashboards and activating data to understand and influence customer behavior becomes nearly impossible. Shockingly, a Gartner Marketing survey revealed that only 14% of companies have a 360-degree view of customers, which means the majority of organizati
Tweag
JULY 19, 2023
One classic appeal of Haskell is that its type system allows experts to define very precise constraints within the program’s problem domain. In my working experience, such powerful constraints are a double-edged sword for projects with long lifespans. These sophisticated types do, as promised, statically prevent many kinds of costly mistakes and are indeed expressed via definitions that resemble the particular problem domain better than many other general purpose languages would allow.
Ascend.io
JULY 19, 2023
Ready or not, data mesh is fast becoming an indispensable part of the data landscape. As data leaders, the question isn’t if you’ll cross paths with this emerging architectural pattern. The question is when. A shift this monumental can seem daunting, often leading to analysis paralysis, overthinking, or other implementation delays. This is where we want to step in.
Hevo
JULY 19, 2023
Organizations might want to move their data from different sources to the destination of their choice for multiple reasons. For instance, a data warehouse unifies data from disparate sources to provide a single source of truth to enable you to make informed data-driven decisions.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Monte Carlo
JULY 19, 2023
Building a data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline.
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