ThoughtSpot

JANUARY 23, 2024

ThoughtSpot is taking Snowpark use cases to the next level with generative AI, connecting the dots between ML-powered insights and business action. If you’re new to Snowpark, this is Snowflake ’s set of libraries and runtimes that securely deploy and process non-SQL code including Python, Java, and Scala.

Scala 84

Scala Programming Language Java Python 84

ThoughtSpot

JULY 18, 2023

That’s why we’re thrilled to partner with Google to bring exciting new Google Cloud generative AI capabilities to your analytics initiatives. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data.

Google Cloud 84

Google Cloud Cloud BI Data Security 84

Snowflake

NOVEMBER 16, 2023

The rise of new technologies such as 5G, cloud computing, and the Internet of Things (IoT) is putting pressure on telecom operators to find new ways to improve the performance of their networks, reduce costs and provide better customer service. The telecom industry is undergoing a monumental transformation.

Cloud Computing 97

Cloud Computing Systems Cloud Technology 97

Data Engineering Weekly

MARCH 17, 2024

Stephanie Kirmer: Uncovering the EU AI Act Large language models have taken the world by storm, and every country is trying to evaluate its potential impact. The author explores the evolving landscape of data product standards, highlighting the necessity for unified standards to ensure interoperability and manage the data economy effectively.

Data Engineering 70

Data Engineering Data Engineer Engineering Data Governance 70

Knowledge Hut

MARCH 20, 2024

Whether it's your Netflix recommendations or Siri’s, AI has been an indispensable part of everyone's daily life, you and me both. If you are planning to venture into artificial intelligence , you may be wondering about your exact responsibilities. Do you also wonder how these systems work and, more importantly, who develops them?

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52

Snowflake

MARCH 28, 2024

Until now, data clean room technology was generally deployed by large organizations with access to technical data privacy experts. In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. What is a data clean room? How does a data clean room work? Why Snowflake Data Clean Rooms?

Media 82

Media Retail Pharmaceutical Hospitality 82

Data Engineering Weekly

FEBRUARY 18, 2024

So, we want your support in understanding the landscape by sharing your insights in the poll. Please add your thoughts if you live in Europe. If you have any other choice of the city or would like to share your thoughts, please add them to the comments. So, it is an eventual reality that one steps into another product.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Knowledge Hut

NOVEMBER 16, 2023

CISCO Technologies Whether you are fascinated by learning networks and switching technologies, then CISCO technologies would be your choice. He or she can get a full-fledged engineering degree. We have listed down here in order of priority, top to down for beginners to an advanced level technical course that an IT aspirant looks for.

Technology 98

Technology MySQL MongoDB Google Cloud 98

Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. While exploring dedicated sections for ML engineer responsibilities, you will often see companies demanding the following things: The selected candidate should know how to train and optimize ML algorithms and models.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

Christophe Blefari

APRIL 28, 2023

the metrics store will be the paid service of dbt Labs and a part of the dbt Cloud offering. It means that you will define metrics and dimensions in YAML and then plug all you tools to dbt Cloud, it seems there isn't any open-source solution to do the serving—at least from dbt Labs side. What happened to the Semantic Layer?

SQL 100

SQL Food PostgreSQL Data 100

Monte Carlo

MARCH 28, 2024

Similar to how DevOps applies CI/CD to software development and operations, DataOps entails a CI/CD-like, automation-first approach to building and scaling data products. Similar to how DevOps applies CI/CD to software development and operations, DataOps entails a CI/CD-like, automation-first approach to building and scaling data products.

Data Pipeline 52

Data Pipeline Coding Machine Learning Data Warehouse 52

AltexSoft

JUNE 29, 2021

For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The focus here is on engineering, not on building ML algorithms.

Machine Learning 105

Machine Learning Engineering Algorithm Programming Language 105

Data Engineering Weekly

DECEMBER 3, 2023

I found this GitHub tutorial from Microsoft to be an excellent resource to get started with Gen-AI if you’re beginning your journey to understand the landscape. I found this GitHub tutorial from Microsoft to be an excellent resource to get started with Gen-AI if you’re beginning your journey to understand the landscape.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Snowflake

SEPTEMBER 28, 2023

In our second annual Snowflake Modern Marketing Data Stack 2023 report , we delve into actual usage and adoption of marketing technologies within the Snowflake Data Cloud to identify the leading tools and platforms. Data is an invaluable asset in today’s marketing ecosystem.

Government 85

Government Data Integration Machine Learning Technology 85

Data Engineering Podcast

AUGUST 6, 2022

For analytical systems there are decades of investment in data warehouses and various modeling techniques. For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. Data stacks are becoming more and more complex.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Rockset

SEPTEMBER 26, 2023

Real-time AI is the future, and AI models have demonstrated incredible potential for predicting and generating media in various business domains. For the best results, these models must be informed by relevant data. Stale and siloed data can limit the potential value of AI to your customers and your business.

Metadata 64

Metadata Kafka Cloud Database 64

Snowflake

JUNE 28, 2023

At Snowflake, we’re helping data scientists, data engineers, and application developers build faster and more efficiently in the Data Cloud. To make it even easier to process data with Snowpark Python UDFs and Stored Procedures, we have added support for Python 3.9 and unstructured data support, now in public preview.

Pipeline-centric 57

Pipeline-centric Programming Language Python Government 57

Data Engineering Podcast

APRIL 16, 2022

Summary Putting machine learning models into production and keeping them there requires investing in well-managed systems to manage the full lifecycle of data cleaning, training, deployment and monitoring. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own.

Data Engineering 100

Data Engineering Data Engineer Engineering IT 100

Knowledge Hut

SEPTEMBER 21, 2023

Azure or Google Cloud—Which is better? This question is often asked as businesses continue to understand the cloud’s usefulness and services. Sometimes, considering the three leading players in the cloud market, businesses search for the right cloud among the three to adopt. So, let’s dive in! What Is Azure?

Cloud 52

Cloud Google Cloud Cloud Computing Cloud Storage 52

Knowledge Hut

DECEMBER 22, 2023

Adoption of AI -supported ITIL ® Practices AI and ML will revolutionize the way ITIL® practices were conventionally done. In 2024, ITIL ® will help businesses customize their products and services so that they can live up to the specific expectations of their customers.

Certification 98

Certification Government Data Analysis Technology 98

Data Engineering Podcast

JUNE 26, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Data Management 100

Data Management Management MongoDB Scala 100

Snowflake

JUNE 27, 2023

Containers have emerged as the modern approach to package code in any language to ensure portability and consistency across environments, especially for sophisticated AI/ML models and full-stack data-intensive apps. These types of modern data products frequently deal with massive amounts of proprietary data.

Scala 61

Scala Programming Language Data Science Python 61

Data Engineering Podcast

AUGUST 10, 2021

Summary All of the fancy data platform tools and shiny dashboards that you use are pointless if the consumers of your analysis don’t have trust in the answers. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm.

IT 130

IT Building Data Warehouse Python 130

DareData

NOVEMBER 28, 2023

As the scope of the models and the data continues to scale, the role of a Data Scientist has evolved accordingly in the last years. Experiment tracking The first set of MLOps techniques revolves around model exploration. These pillars continue to thrive under traditional software engineering frameworks. But that is not all!

Data Science 52

Data Science Medical Machine Learning Data 52

Cloudera

OCTOBER 30, 2023

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. However, the reality is that the “move to cloud” is a turbulent flight for many of them. Why FinOps?

Cloud 74

Cloud Finance Cloud Computing Government 74

Monte Carlo

AUGUST 21, 2023

After executive leadership vaguely promised stakeholders that new Gen AI features would be incorporated across the organization, your tiger team sprinted to produce a MVP that checks the box. Integrating that OpenAI API into your application wasn’t that difficult and it may even turn out to be useful. But now what happens?

Data Science 98

Data Science Machine Learning Media Data 98

Data Engineering Podcast

APRIL 10, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Engineering 100

Engineering Data Lake Data Engineering Data Engineer 100

Data Engineering Podcast

JUNE 15, 2020

In order to reduce friction in the process of developing and delivering models there has been a recent trend toward building a dedicated feature. I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help.

Machine Learning 100

Machine Learning Google Cloud Kafka Data Engineering 100

Knowledge Hut

NOVEMBER 29, 2023

Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Cloud computing is a pay-as-you-go model that can be scaled up or down as needed. You'll also find the Cloud Computing course duration and fee here.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Hospitality 52

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Process 80

Process Kafka SQL Machine Learning 80

Data Engineering Podcast

JULY 27, 2021

Summary Everyone expects data to be transmitted, processed, and updated instantly as more and more products integrate streaming data. I’m happy to announce I collected wisdom from the community to help you in your journey as a data engineer and worked with O’Reilly to publish it as 97 Things Every Data Engineer Should Know.

Building 100

Building Management Kafka Data Warehouse 100

Data Engineering Weekly

FEBRUARY 19, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Seeing a pattern similar to Data Mart emerging in ML infrastructure is interesting.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

AUGUST 25, 2021

Tools you can use to build NLP models. Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. For example, you can label assigned tasks by urgency or automatically distinguish negative comments in a sea of all your feedback.

Process 139

Process Deep Learning Datasets Machine Learning 139

Cloudera

OCTOBER 18, 2023

Historically, firms have relied on high-cost, third-party solutions to help identify savings opportunities, however, the landscape is rapidly changing, and the emergence of AI and machine learning (ML) has ushered in a new era of possibilities.

Portfolio 75

Portfolio Banking Algorithm Machine Learning 75

Monte Carlo

JANUARY 29, 2024

It’s one thing to get your data into a modern data cloud. It’s another thing to be able to effectively manage, govern and observe it over the long haul. Legacy approaches like unit testing aren’t sufficient for ensuring data reliability across modern data platforms. Volume: Are there too many or too few rows?

Metadata 64

Metadata High Quality Data Data Pipeline Machine Learning 64

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. You can execute this by learning data science with python and working on real projects.

Data Science 97

Data Science BI Business Intelligence Data Mining 97