Rockset

APRIL 18, 2023

We’re excited to introduce vector search on Rockset to power fast and efficient search experiences, personalization engines, fraud detection systems and more. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. The Innova-Q dashboard provides access to product safety and quality performance data, historical risk data, and analysis results for proactive risk management.

Pipeline-centric 129

Pipeline-centric Food Healthcare Unstructured Data 129

phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Data Engineering Weekly

JULY 21, 2024

[link] Manuel Faysse: ColPali - Efficient Document Retrieval with Vision Language Models 👀 80% of enterprise data exists in difficult-to-use formats like HTML, PDF, CSV, PNG, PPTX, and more. Vimeo discusses its Retrieval-Augmented Generation (RAG) system design for building a knowledge management system.

Data Engineering 119

Data Engineering Data Engineer Engineering Generalist 119

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 118

IT Unstructured Data Data Architecture Government 118

Snowflake

SEPTEMBER 7, 2023

We are excited to announce the public preview of External Access, which enables customers to reach external endpoints from Snowpark seamlessly and securely. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 122

Amazon Web Services AWS Government Python 122

Snowflake

NOVEMBER 11, 2024

However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex. With these functions, teams can run tasks such as semantic filters and joins across unstructured data sets using familiar SQL syntax.

Unstructured Data 82

Unstructured Data SQL AWS Healthcare 82

AltexSoft

JULY 27, 2021

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. Primarily developed to help users deal with a large range of choices they encounter, recommender systems come into play. Amazon, Booking.com) and.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Snowflake

JANUARY 18, 2024

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. Ease of use Snowflake’s architectural simplicity improves ease of use.

Manufacturing 93

Manufacturing Unstructured Data Cloud Architecture 93

Cloudera

JUNE 9, 2022

From origin through all points of consumption both on-prem and in the cloud, all data flows need to be controlled in a simple, secure, universal, scalable, and cost-effective way. controlling distribution while also allowing the freedom and flexibility to deliver the data to different services is more critical than ever. .

Data Collection 100

Data Collection Data Lake Unstructured Data Retail 100

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 89

Healthcare Unstructured Data High Quality Data Medical 89

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Cloud 120

Cloud Banking Data Governance Government 120

Cloudera

NOVEMBER 15, 2024

Cyber defenders struggle with: Too much data: Cybersecurity tools generate an overwhelming volume of log data, including Domain Name Service (DNS) records, firewall logs, and more. All of this data is essential for investigations and threat hunting, but existing systems often struggle to manage it efficiently.

Metadata 90

Metadata Unstructured Data Data Lake Government 90

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . This led them to fall behind.

Data Warehouse 87

Data Warehouse Unstructured Data Pharmaceutical MySQL 87

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape. What are you waiting for? Register for IMPACT today!

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

Cloudera

FEBRUARY 15, 2024

Some of the key benefits of a modern data architecture for regulatory compliance include: Enhanced data governance and compliance: Modern data architecture incorporates data governance practices and security controls to ensure data privacy, regulatory compliance, and protection against unauthorized access or breaches.

Insurance 93

Insurance Banking Data Architecture Data Ingestion 93

Team Data Science

FEBRUARY 23, 2021

For instance, it occurs when a restaurant creates a digital version of a printed menu, so customers can scan a QR code and access it via a browser [ , 6 ]. It did that by implementing a recommender system based on machine learning. But of course, digitization still happens intensively nowadays.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Cloudera

OCTOBER 28, 2020

To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data. While Rabobank has always had access to this data, drawing meaningful insight from it was a different matter. .

Unstructured Data 76

Unstructured Data Banking Machine Learning Media 76

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. How is the Jet streaming framework architected?

Process 100

Process Unstructured Data Metadata Data Engineering 100

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Bigeye let’s data teams measure, improve, and communicate the quality of your data to company stakeholders.

IT 100

IT Metadata MongoDB MySQL 100

Cloudera

OCTOBER 26, 2020

Partner technologies that have been certified via the QATS program are tested and validated to comply with Cloudera’s development guidelines for integration with the Cloudera Data Platform and use the supported APIs. . Observance of the CDP interface classification system. Integration with Kudu for fast data and ranger for policies.

Certification 93

Certification Cloud Kafka Unstructured Data 93

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Toolsets and strategies have had to shift to ensure controlled access to data. Driving innovation with secure and governed data .

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 97

Data Lake Data Warehouse Cloud Unstructured Data 97

Data Engineering Weekly

SEPTEMBER 18, 2024

In the pre-data-lake era, traditional data warehouses were limited by disk space and processing power. Storage and computing were tightly coupled within a single, large system, making running additional processes, such as observability tools, difficult without straining the system’s resources.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

Cloudera

DECEMBER 19, 2023

Defense and Intelligence Communities : The defense and intelligence communities face significant cybersecurity threats, with malicious actors trying to penetrate their systems continually. Limit access and capabilities initially. Our government leaders had several suggestions: Start small. Start with narrow, low-risk use cases.

Government 96

Government Education Unstructured Data Algorithm 96

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data. Yet, the information will always delay if they leverage an analytics system built for the past.

Kafka 100

Kafka Hospitality Retail Data Ingestion 100

Knowledge Hut

JANUARY 18, 2024

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future. Choose data sets.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Other Simple Orchestration Tools.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Rockset

MARCH 28, 2024

Find an end-to-end Colab notebook that you can run without any dependencies on your local operating system: Recsys_workshop. Introduction A real-time personalized recommender system can add tremendous value to an organization by enhancing the level user engagement and ultimately increasing user satisfaction.

Systems 52

Systems Building Database Utilities 52

Cloudera

JANUARY 5, 2021

The retailer leveraged Cloudera to build an analytics solution for fulfillment delivery that allowed for advanced analytic modeling, A/B testing, and optimization by improved data access of omnichannel orders, logistics, and delivery capacity.

Retail 95

Retail Unstructured Data Big Data Machine Learning 95

Data Engineering Podcast

FEBRUARY 24, 2019

Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams. They have built an easy to use platform that lets you leverage your company’s single sign on for your data platform. And don’t forget to thank them for their continued support of this show!

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

Edureka

JUNE 7, 2024

paintings, songs, code) Historical data relevant to the prediction task (e.g., Unlike traditional AI systems that operate on pre-existing data, generative AI models learn the underlying patterns and relationships within their training data and use that knowledge to create novel outputs that did not previously exist.

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Snowflake

JUNE 28, 2023

This empowers organizations to break free from the burdensome task of spinning up and managing complex standalone systems operating outside of Snowflake’s governance boundary. Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Towards Data Science

APRIL 6, 2023

Alternatively, end-to-end tests, which assess a full system, stretching across repos and services, get overwhelmed by the cross-team complexity of dynamic data pipelines. Unit tests and end-to-end testing are necessary but insufficient to ensure high data quality in organizations with complex data needs and complex tables.

Unstructured Data 76

Unstructured Data Metadata Data Coding 76

Snowflake

DECEMBER 4, 2024

The next evolution in data is making it AI ready. For years, an essential tenet of digital transformation has been to make data accessible, to break down silos so that the enterprise can draw value from all of its data. For this reason, internal-facing AI will continue to be the focus for the next couple of years.

Unstructured Data 68

Unstructured Data Data Lake Deep Learning Structured Data 68

Cloudera

JULY 26, 2021

In fact, data product development introduces an additional requirement that wasn’t as relevant in the past as it is today: That of scalability in permissioning and authorization given the number and multitude of different roles of data constituents, both internal and external accessing a data product.

Generalist 120

Generalist Telecommunication Healthcare Data Science 120