Cloudera

JANUARY 20, 2021

In this last installment, we’ll discuss a demo application that uses PySpark.ML For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. With this example as inspiration, I decided to build off of sensor data and serve results from a model in real-time.

Machine Learning 113

Machine Learning Database Data Science Building 113

Snowflake

APRIL 8, 2024

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. SignalFlare.ai The judges will ask questions and deliberate live before naming the 2024 Grand Prize winner.

Pipeline-centric 126

Pipeline-centric Food Healthcare Unstructured Data 126

The Modern Data Company

DECEMBER 29, 2022

Many of Deloitte’s Predictions Will Require Access to Real-time Data Analysis The report lists several areas where consumer demand will shift banking products. In addition, business users can leverage drag-and-drop engineering to build pipelines without extensive coding. A robust understanding of potential new customers.

Banking 52

Banking Pipeline-centric Building Finance 52

Data Engineering Podcast

JULY 27, 2020

In this episode he shares his approach to testing complex systems, the common challenges that are faced by engineers who build them, and why it is important to understand their limitations. With their open-source foundation, fixed pricing, and unlimited volume, they are enterprise ready, but accessible to everyone.

Systems 100

Systems Building Scala Java 100

Tweag

APRIL 17, 2024

Several products are built on top of it as well: it’s not really a ready-to-use solution but rather the engine to build a custom IDP for your company, which leaves room for turnkey offers. It’s hard to tell from a demo how solid this would be in a real production system.

Cloud 74

Cloud Consulting Portfolio Programming 74

Snowflake

MAY 1, 2024

This makes geospatial insights more accessible and actionable than ever before, empowering organizations to make informed decisions quickly.” BigGeo’s mission is to convert the theoretical advancements uncovered during the founders’ 15 years of research into practical, market-ready solutions.

Media 104

Media Building Data Warehouse Technology 104

Cloudera

FEBRUARY 8, 2021

In this demo I will try to predict the behavior of open price of stocks based on their historical data, meaning if a stock open price will go up or down. App Serving – Build and Serve Custom applications for ML use-cases. Simple, drag-and-drop building of dashboards and apps with Cloudera Data Visualization.

Building 73

Building Machine Learning Database Algorithm 73

Snowflake

MAY 2, 2024

We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake. You’ll need to get access to a role with provider privileges. Then, consider access.

Electronics 88

Electronics Media Accessible Accessibility 88

The Modern Data Company

FEBRUARY 2, 2024

Ever wondered why building data-driven applications feels like an uphill battle? Any delay in accessing or utilizing this crucial information represents not just lost time but forfeited opportunities and stunted innovation. Request a demo today and see the difference for yourself.

Raw Data 75

Raw Data Utilities Government Data 75

Meltano

JULY 19, 2022

Data extraction is usually carried out by a script or a tool that has access to the data. Use Cases of Custom Extractors The use cases of custom extractors fall into one of the following three categories: Unconventional data sources: You may need to build a custom extractor to deal with custom databases, queues, files, internal APIs, etc.

Building 52

Building Python Database Project 52

ThoughtSpot

MARCH 30, 2023

Together, we help customers accelerate use cases, build better processes, and realize truly amazing business results. Here’s a glimpse at some of the work our partners have contributed over the past few months—plus a look at what’s ahead: InterWorks builds seamless data experiences Karl Riddett is the Regional Lead at InterWorks.

Retail 69

Retail Business Intelligence Consulting Data Analytics 69

Cloudera

MARCH 26, 2024

Cloudera has had an in-house expertise in Machine Learning and has been helping customers deliver machine learning applications, build ML models, and deliver ML ops for the past decade. Pre-built Demos and Reference Architectures (AMPs): Get a head start with ready-made solutions designed for specific AI use cases.

Machine Learning 81

Machine Learning Banking Professional Services Architecture 81

Monte Carlo

JUNE 6, 2023

But is there more to generative AI than a fancy demo on Twitter? After speaking with hundreds of data leaders across companies from Fortune 500s to startups, we came up with a few predictions: Access to data will become much easier – and more ubiquitous. And how will it impact data? Let’s assess.

Data Engineering 84

Data Engineering Data Engineer Engineering Business Intelligence 84

Snowflake

MARCH 28, 2024

Snowflake Data Clean Rooms make it easy to build and use data clean rooms in Snowflake, with no additional access fees set by Snowflake. Until now, data clean room technology was generally deployed by large organizations with access to technical data privacy experts. What is a data clean room? Why Snowflake Data Clean Rooms?

Media 84

Media Retail Pharmaceutical Hospitality 84

Snowflake

MARCH 5, 2024

For example: Custom text summaries in JSON format Turning email domains into rich data sets Building data quality agents using LLMs All of these and more can quickly be accomplished with the power of industry-leading foundation models from Mistral AI ( Mistral Large , Mistral 8x7B , Mistral 7B ), Google (Gemma-7b) and Meta (Llama2 70B).

Government 94

Government AWS Data Preparation Data Governance 94

Precisely

NOVEMBER 2, 2023

Serviceability refers to a network or service provider’s ability to reliably deliver telecommunication services to a specific location – including access to phone lines, internet, and other communication technologies – and ensure that all potential customers are receiving services.

Telecommunication 72

Telecommunication Datasets Accessible Accessibility 72

Snowflake

FEBRUARY 22, 2024

It makes creativity, personalization and experimentation easy and accessible to all marketers. Building customer relationships: The solution helps marketers build brand equity by using the AI tool to create memorable, personalized and newly creative customer experiences. Ready to put AI to work in your company?

Technology 89

Technology Machine Learning Utilities Designing 89

The Modern Data Company

JANUARY 31, 2023

In 2023, The Modern Data Company (Modern) hopes to reach more companies and organizations with our data operating system, build incredible value from existing and upcoming data assets, and share insights into major shifts in what it means to be data-driven. Another year, another chance to learn more about the world of data.

Retail 98

Retail Healthcare Data Architecture Data Pipeline 98

Data Engineering Podcast

DECEMBER 21, 2020

One of the more complex aspects is that of access control to the data assets that an organization is responsible for managing. 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 Governance 130

Data Governance Government Data Lake Banking 130

Monte Carlo

NOVEMBER 9, 2023

Still, it’s one thing to show your boss a cool demo of a data discovery tool or text-to-SQL generator – it’s another thing to use it with your company’s proprietary data, or even more concerning, customer data. And in many ways, LLMs are going to make data engineers more valuable – and that’s exciting! Think: SecOps for AI.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

ThoughtSpot

JANUARY 31, 2024

Recent advances in AI and machine learning are not only changing the way we interact with data, but also pushing those of us who build analytics and BI platforms to think critically about how our products can best serve our customers moving forward. At ThoughtSpot we are building a platform to help your business lead in this new era.

BI 88

BI Business Intelligence Machine Learning Data 88

ThoughtSpot

JANUARY 31, 2024

As a result, end users expect faster response times and easier access to meaningful insights. We’ll also be rolling out the BI industry’s most advanced human-in-the-loop feedback (HITL) capabilities that center human knowledge, business context, and security to build trust and accuracy across your organization.

BI 89

BI Business Intelligence Metadata Machine Learning 89

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. The SDX layer is configured and the users have appropriate access. Model building.

Banking 97

Banking Data Lake Data Data Warehouse 97

Rockset

APRIL 18, 2023

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Snowflake

DECEMBER 21, 2023

Welcome to Snowflake’s Startup Spotlight, where we feature awesome companies building businesses on Snowflake. We needed to combine them with data from our operational stores and event streams to deliver interactive billing reports, user notifications, AI-based services and programmatic data access. Snowflake’s ecosystem is unmatched.

Software Engineer 90

Software Engineer Software Engineering Database Data Pipeline 90

The Modern Data Company

FEBRUARY 15, 2023

Inefficient data governance: Companies relying on manual strategies to govern data access may not be able to make data available when it’s needed most. For example, imagine a company invests heavily in building an experienced data science team. Without suitable resources for company-wide data management, it’s easier to fall behind.

Government 98

Government Data Governance Raw Data Data 98

Snowflake

JUNE 27, 2023

App developers can build and deploy front-end user interfaces using React and other popular web development frameworks. As with the rest of Snowpark, the code and logic can be accessed and integrated from any Snowflake experience. Check out the demo video and sign up for the waitlist to deploy Hex in Snowflake. LLM Providers.

Scala 61

Scala Programming Language Data Science Python 61

Cloudera

AUGUST 9, 2022

We’ve seen this from all of our customers and are emphasizing building and iterating on modern data architectures. We can help companies build an effective strategy for data fabric, data mesh, and data lakehouse, but with the Cloudera spin: ensuring they can take full advantage of the possibilities hybrid data offers.

Data Architecture 90

Data Architecture Architecture Cloud Computing Cloud 90

Cloudera

JANUARY 17, 2024

Target architecture: connecting the pieces The key to insightful Grafana dashboards is having access to relevant application metrics. We therefore need to be able to expose NiFi metrics for Prometheus so it can scrape them before we can build dashboards in Grafana. In our case, these are NiFi metrics of our flow deployment.

Bytes 104

Bytes Architecture Designing Building 104

Snowflake

AUGUST 21, 2023

Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains. Finding platforms that can enable both open access and consistent security can be challenging. So, having a focus on cost and simplicity is really important.”

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Data Engineering Podcast

AUGUST 10, 2020

The team at Iteratively are building a platform to manage the end to end flow of collaboration around what events are needed, how to structure the attributes, and how they are captured. With their open-source foundation, fixed pricing, and unlimited volume, they are enterprise ready, but accessible to everyone.

Data Collection 100

Data Collection Data Engineering Data Engineer Education 100

Cloudera

MARCH 17, 2023

ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology. The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. However, caution is necessary when delving deeper into a particular technology.

Education 62

Education Unstructured Data Data Lake Data Warehouse 62

The Modern Data Company

MAY 10, 2023

What factors are most important when building a data management ecosystem? While IT can still build complex pipelines and data products using a command line interface, the self-serve capabilities within DataOS allow business users to simply drag and drop the data outcomes they need. Request a demo today and see it in action.

Data Management 52

Data Management Data Lake Management Data Warehouse 52

Cloudera

OCTOBER 31, 2023

To analyze and satisfy our candy questions, I’ll spin up JupyterLab natively in CML and immediately have access to both scalable compute and secure granular data to tackle this challenge in just a few clicks — let’s get started. do you like candy A or B better). The end result was a win percentage for 86 different mainstream candies.

Data Mining 78

Data Mining Portfolio Machine Learning Data Science 78

Striim

FEBRUARY 26, 2024

Just like a tall building needs a strong plan and base, successful AI requires good data models. Organizing, storing, and accessing data is important for AI. Feature Engineering: Craft the right features – the building blocks of your model – by selecting the most relevant and informative ones.

Data Cleanse 52

Data Cleanse Business Intelligence Data Data Integration 52

The Modern Data Company

MAY 10, 2023

What factors are most important when building a data management ecosystem? While IT can still build complex pipelines and data products using a command line interface, the self-serve capabilities within DataOS allow business users to simply drag and drop the data outcomes they need. Request a demo today and see it in action.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

What factors are most important when building a data management ecosystem? While IT can still build complex pipelines and data products using a command line interface, the self-serve capabilities within DataOS allow business users to simply drag and drop the data outcomes they need. Request a demo today and see it in action.

Data Management 52

Data Management Management Data Lake Data Warehouse 52