Cloudera

DECEMBER 20, 2021

The right set of tools helps businesses utilize data to drive insights and value. But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Retrofitting existing solutions to ever-changing policy and security demands is one option.

Government 93

Government Data Security Banking Metadata 93

Cloudera

MAY 3, 2024

AMPs are fully built, end-to-end solutions that provide data scientists with a ready-to-go MVP for various AI use cases, significantly reducing development time. With a single click, AMPs build, deploy, and set up continuous monitoring of enterprise-ready machine learning (ML) applications.

Data Security 73

Data Security Machine Learning Data Ingestion Professional Services 73

Snowflake

JUNE 5, 2024

Enterprises can utilize gen AI to extract more value from their data and build conversational interfaces for customer and employee applications. Additionally, upon implementing robust data security controls and meeting regulatory requirements, businesses can confidently integrate AI while meeting compliance standards.

Coding 90

Coding Building Management Government 90

U-Next

SEPTEMBER 22, 2022

Most cloud service data breaches are caused by criminal activities, insider threats, malware, weak credentials, and human mistakes. . Generally speaking, the characteristics that make cloud services simple for employees to access through IT systems make it challenging for businesses to prevent illegal access.

Cloud Computing 40

Cloud Computing Data Security Cloud Cloud Storage 40

Data Engineering Podcast

MARCH 27, 2022

In this episode Balaji Ganesan shares how his experiences building and maintaining Ranger in previous roles helped him understand the needs of organizations and engineers as they define and evolve their data governance policies and practices. Can you describe what Privacera is and the story behind it?

Data Governance 130

Data Governance Government Cloud Building 130

Data Engineering Podcast

FEBRUARY 13, 2022

To simplify the work of managing the full flow of your customer data and keep you in full control the team at Rudderstack created their eponymous open source platform that allows you to work with first and third party data, as well as build and manage reverse ETL workflows.

Building 100

Building Hadoop Data Pipeline Metadata 100

Snowflake

AUGUST 8, 2023

That’s because large volumes of data are at the core of SIEM, and only a cloud architecture offers the scalability needed to store and analyze petabytes of data. Account takeover: A third party gains access to an account and uses it for fraud, cyberattacks, and other malicious activities.

Data Lake 52

Data Lake Programming IT Building 52

Rockset

MARCH 18, 2024

By grounding responses in retrieval information, LLMs can draw on reliable data for their response instead of solely relying on their pre-existing knowledge base. Building a real-time, contextual and trustworthy knowledge base for AI applications revolves around RAG pipelines. What are the challenges building RAG pipelines?

Cloud 64

Cloud Building Metadata Kafka 64

Ascend.io

JANUARY 2, 2024

But let’s be honest, creating effective, robust, and reliable data pipelines, the ones that feed your company’s reporting and analytics, is no walk in the park. From building the connectors to ensuring that data lands smoothly in your reporting warehouse, each step requires a nuanced understanding and strategic approach.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Snowflake

MAY 7, 2024

Snowflake Cortex is a fully-managed service that enables access to industry-leading large language models (LLMs) is now generally available. You can use these LLMs in select regions directly via LLM Functions on Cortex so you can bring generative AI securely to your governed data. Available under Apache 2.0 Daily limits apply.

Government 111

Government SQL Data Security Accessibility 111

Snowflake

JUNE 5, 2024

Our partners help drive customer success and build an ever-expanding open ecosystem of solutions built on the AI Data Cloud. We couldn’t make our advancements in AI, data accessibility, monetization and more without their ongoing support and partnership, and this recognition could not be more well-deserved.

Entertainment 99

Entertainment Manufacturing Retail Healthcare 99

Monte Carlo

JANUARY 17, 2023

With the rise of GDPR and other compliance measures, data security is under more scrutiny than ever before. Yet as organizations invest in more data and more data accessibility, keeping all that data safe and well-maintained has never been more challenging. Table of Contents What is data governance?

Data Governance 40

Data Governance Government Building Data Storage 40

Towards Data Science

DECEMBER 15, 2023

Taking a hard look at data privacy puts our habits and choices in a different context, however. Data scientists’ instincts and desires often work in tension with the needs of data privacy and security. Anyone who’s fought to get access to a database or data warehouse in order to build a model can relate.

Machine Learning 91

Machine Learning Data Science Data Security Data Storage 91

Snowflake

JANUARY 9, 2024

Features of the Zero to CDP solution The Zero to CDP solution features end-to-end implementation, from creating the Snowflake Data Cloud to modeling the data and activating that data for marketing use cases. Data ingestion: Hakkoda leads the entire data ingestion process.

Data Ingestion 107

Data Ingestion Cloud Architecture Accessibility 107

Snowflake

FEBRUARY 5, 2024

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. They’ll prioritize data solutions that work across clouds.

Unstructured Data 102

Unstructured Data Banking Government Insurance 102

LinkedIn Engineering

JUNE 2, 2023

LinkedIn’s members rely on the platform to keep their data secure, and it is essential that the EGRI team takes appropriate measures to ensure that member privacy is protected at all times. Availability: Data must be readily available to the broader team in order to support their research and analysis.

Building 75

Building Banking Datasets Media 75

Cloudera

NOVEMBER 15, 2024

Here’s how Cloudera makes it possible: One unified system: Cloudera’s open data lakehouse consolidates all critical log data into one system. Whether they need to query data from today or from years past, the system scales up or down to meet their needs.

Metadata 87

Metadata Unstructured Data Data Lake Government 87

Afterpay Tech

SEPTEMBER 24, 2020

Thus, providing a cloud platform in which our data scientists can run R and Python code against our data, while maintaining the security and audit-ability of our data lake was an important problem to be tackled. We worked closely with security and our data scientists to identify the following set of requirements: 1.

Data Science 52

Data Science Building Data Lake Machine Learning 52

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. With adoption growing, organizations need to understand that without good quality and trusted data, there is no way to implement AI.

Banking 85

Banking Data Lake Finance Data Governance 85

Knowledge Hut

DECEMBER 22, 2023

Voice Search Benefits: Improved User Experience Accessibility Hands-free Interaction Faster Search Results Examples: Integrating voice-enabled search boxes or chatbots on websites to allow users to perform voice-based searches. Web Development Trends In 2024 1.

Entertainment 105

Entertainment Machine Learning Utilities Google Cloud 105

Monte Carlo

JUNE 7, 2022

The data world moves unapologetically fast. It seems like just last year we started talking about how data teams were transitioning from providing a service, to treating data like a product or even building internal products across a decentralized data mesh architecture.

Building 52

Building Raw Data Architecture Machine Learning 52

Snowflake

DECEMBER 5, 2023

But without a governed data foundation, you can’t trust results or unlock all that’s possible with these breakaway technologies. To ensure data remains protected from unintended use, Snowflake Cortex (now in private preview) gives users access to industry-leading LLMs (e.g., Learn more about the program and how to apply here.

AWS 104

AWS Amazon Web Services Government Cloud Computing 104

Snowflake

JUNE 27, 2024

Whether it’s security or configuration, Snowpark Container Services handles the intricacies, allowing users to instead focus on their applications without the overhead of managing the underlying infrastructure.

Data Governance 107

Data Governance Algorithm Government Cloud 107

RandomTrees

JUNE 29, 2024

Examples: Sales Forecasting: Use historical sales data to build predictive models that forecast future sales. Details: Tools and Techniques: Use Azure Machine Learning, Python, and R scripts within Power BI to build and deploy predictive models. Implement RLS to restrict data access based on user roles.

BI 59

BI Machine Learning Government Data Analysis 59

Snowflake

SEPTEMBER 12, 2024

Accelerate Enterprise AI: Snowflake makes generative AI for enterprise data secure and easy, giving you the power to deliver AI to everyone. With Snowpark, Snowflake Cortex, Arctic, Streamlit and other innovations, Snowflake is making machine learning and LLMs more accessible, governed and scalable.

Data Lake 82

Data Lake Government Cloud Machine Learning 82

ThoughtSpot

JULY 18, 2023

At ThoughtSpot, we believe making data accessible to every knowledge worker requires human-centered technology—an analytics experience that bridges the “language” barrier between technology and people. AI is the perfect compliment to search because it empowers organizations to analyze, understand, and act on data.

Google Cloud 98

Google Cloud Cloud BI Data Security 98

Snowflake

OCTOBER 14, 2024

But this isn’t possible without a strong data foundation, the core of gen AI’s capabilities. Business leaders must move on this quickly to combat the concerns with AI adoption, such as data security and cost, and establish the foundation they need to deliver on the technology’s promise. AI accuracy is non-negotiable.

Data Governance 67

Data Governance Government Data Data Security 67

Snowflake

OCTOBER 28, 2024

Data gravity is the growing trend of application processes moving to the data rather than the other way around. It prioritizes the need to centralize data securely and reduces the need for costly movement across multiple systems. Amidst these dynamic forces, new trends have emerged.

Food 80

Food Media Retail Healthcare 80

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

Healthcare 86

Healthcare Unstructured Data High Quality Data Medical 86

RandomTrees

JUNE 29, 2024

Examples: Sales Forecasting: Use historical sales data to build predictive models that forecast future sales. Details: Tools and Techniques: Use Azure Machine Learning, Python, and R scripts within Power BI to build and deploy predictive models. Implement RLS to restrict data access based on user roles.

BI 52

BI Machine Learning Government Data Analysis 52

Snowflake

JULY 25, 2024

Cortex Search offers state-of-the-art semantic and lexical search over your text data in Snowflake behind an intuitive user interface, and it comes with the robust security and governance features that Snowflake is known for. This means you can grant usage on a service like you would any other Snowflake object.

Unstructured Data 111

Unstructured Data Metadata Government SQL 111

Cloudera

NOVEMBER 15, 2024

Here’s how Cloudera makes it possible: One unified system: Cloudera’s open data lakehouse consolidates all critical log data into one system. Whether they need to query data from today or from years past, the system scales up or down to meet their needs.

Metadata 59

Metadata Unstructured Data Data Lake Government 59

Knowledge Hut

JUNE 4, 2024

Some of these are GDPR (General Data Protection Regulation), PCI DSS (Payment Card Industry Data Security Standards), HIPAA (Health Insurance Portability and Accountability Act), and so on. To create an operative cyber security strategy, certain key elements are necessary to obtain. These are: 1.

Insurance 75

Insurance Data Security Education Technology 75

Snowflake

JULY 9, 2024

Assess your current reality In recent strategy workshops with customers, we’ve focused on assessing four areas: data access, analytics and AI capabilities, organizational structure, and culture and communication. As we all know there is no AI strategy without a data strategy, so we start with the data.

Government 84

Government Education Data Governance Unstructured Data 84

Cloudera

OCTOBER 8, 2024

In 2022, the release of ChatGPT attracted over 100 million users within just two months, demonstrating the technology’s accessibility and its impact across various user skill levels. Businesses are now allocating dedicated budgets and building infrastructure to support AI applications in real-world environments.

Government 77

Government Cloud Datasets Machine Learning 77

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? We want interoperability for any data stored versus we have to think how to store the data in a specific node to optimize the processing.

Technology 130

Technology Architecture Google Cloud Metadata 130

Ascend.io

JULY 23, 2024

This article (based on the webinar below) explores how data engineering teams can leverage AI and automation to enhance productivity and tackle current challenges. We will explore some frameworks necessary for enabling adoption of these technologies and provide insights into building a more productive data engineering environment.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52