Data Engineering Weekly

APRIL 7, 2024

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. The blog takes an example of SQL as an evidence of the success of a declartive language.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Data Engineering Weekly

MARCH 3, 2024

The NVIDIA blog on Sovereign AI emphasizes the importance of countries developing artificial intelligence capabilities using local infrastructure, data, and workforce. The article concludes with a look at data contracts as a concrete example of these principles in practice. [link] Nvidia: What Is Sovereign AI?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Cloudera

AUGUST 4, 2021

Data volume and variety: The platform must handle a wide variety of data types , f rom intermittent readings of sensor data (temperature, pressure, and vibrations) to unstructured data (e.g., images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

DoorDash Engineering

APRIL 26, 2023

The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information. In fact, we used generative AI to help edit this blog post!

Food 98

Food Unstructured Data Deep Learning SQL 98

Cloudera

DECEMBER 19, 2023

Trust your data. Enterprise AI | Cloudera The post Optimizing the Value of AI Solutions for the Public Sector appeared first on Cloudera Blog. Academic institutions can leverage AI tools to track student performance and deliver personalized interventions to improve student outcomes. Trust your enterprise AI.

Government 85

Government Education Unstructured Data Datasets 85

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. However, the bank’s federated data marts gave each business only enough data to substantiate its own business.

Unstructured Data 68

Unstructured Data Banking Machine Learning Media 68

DareData

MARCH 5, 2024

In this blog post, we'll delve into some of our project portfolio in the Generative AI space and understand how we are deploying GenAI at our customers. Additionally, we believe that there's a significant layer of machine learning expertise required to improve GenAI agents performance and ability to discover intents / perform tasks.

Database-centric 52

Database-centric Telecommunication Unstructured Data SQL 52

Databand.ai

JULY 11, 2023

They can handle various data types, including structured and unstructured data, and can be deployed on-premises or in the cloud, depending on organizational needs and preferences. In this article: Why Do You Need a Data Quality Platform?

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

Cloudera

JULY 29, 2021

Public, private, hybrid or on-premise data management platform. Structure for unstructured data sources such as clinical & physician notes, photos, etc. The post Learn How Cloudera Drives Healthcare Data Insights at HIMSS 21 appeared first on Cloudera Blog. Security and governance in a hybrid environment.

Healthcare 99

Healthcare Unstructured Data Government Machine Learning 99

Knowledge Hut

SEPTEMBER 26, 2023

Because we have to often collaborate with cross-functional teams and are in charge of translating the requirements of data scientists and analysts into technological solutions, Azure Data Engineers need excellent problem-solving and communication skills in addition to technical expertise. What Does an Azure Data Engineer Do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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 106

IT Unstructured Data Data Architecture Government 106

Cloudera

DECEMBER 11, 2020

Insurance and finance are two industries that rely on measuring risk with historical data models. They have traditionally been slower-moving to adopt new structured and unstructured data inputs as regulatory considerations are always top of mind. The post Covid Data: An anomalous blip, or the new normal?

Insurance 91

Insurance Unstructured Data Finance Machine Learning 91

Cloudera

OCTOBER 26, 2020

The challenge is compounded as the data, from which insight is distilled, is exploding in volume and variety. Across the world, 5G networks are being rolled out, unleashing new real-time streams of data. Not a day goes by without virtual conversations, creating masses of unstructured data.

Data Security 116

Data Security IT Unstructured Data Government 116

Cloudera

JANUARY 5, 2021

Stay tuned to my next and last blog of this series in the retail space that will consider all possibilities when thinking how to reimagine stores. The post Maximizing Supply Chain Agility through the “Last Mile” Commitment appeared first on Cloudera Blog. Additional retail content can be found at our retail resource kit .

Retail 90

Retail Unstructured Data Big Data Machine Learning 90

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. data best served through Apache Solr). What does DDE entail? Before you Get Started.

Cloud Storage 66

Cloud Storage Unstructured Data AWS Analytics Application 66

Cloudera

DECEMBER 3, 2020

Cindy is an exceptional female leader and we hope this blog gives you insight into the great work Cindy is doing with the Industry Solutions team! . The data being captured in forms of structured and unstructured data can unlock new insights. Reference Blog. What’s your morning pick me up drink?

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Databand.ai

JULY 19, 2023

One of the significant advantages of IBM Databand is its ability to integrate with various data sources, making it a versatile tool for businesses of all sizes and industries, whether you’re dealing with structured or unstructured data. Atlan Atlan offers a modern approach to data governance.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Snowflake

AUGUST 7, 2023

If the original idea comes from my team but uses generative AI during the feedback loop—to generate punchier headlines, for example—we maintain the human touch but maybe get more blog engagement. Generative AI is an opportunity to serve personalized campaigns at scale, using your own CRM data and more.

Unstructured Data 52

Unstructured Data Machine Learning Designing Process 52

Knowledge Hut

APRIL 26, 2024

Tons and tons of data are being generated each day and organizations have realized the vast potential that this data holds in terms of fueling innovation and predicting market trends and customer preferences. We can tell how the writer's article or blog is either Humorous, Depressed, Insightful, etc.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. A pharmaceutical and life science company struggled in their research department.

Unstructured Data 80

Unstructured Data Pharmaceutical Data Warehouse MySQL 80

Cloudera

JUNE 22, 2023

It integrates data from databases, cloud or RESTful APIs, and real-time, streaming feeds, as well as unstructured data from document databases and other sources. And by handling both batch and streaming data, it supports traditional analytic workloads, essential for decision support, as well as real-time operational analytics.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

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. It established a data governance framework within its enterprise data lake. The post 2020 Data Impact Award Winner Spotlight: Merck KGaA appeared first on Cloudera Blog.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

OCTOBER 28, 2021

Location, driver behavior, routing, cargo and rest time data enable fine tuning and individualized underwriting. The tools exist to interpret semi-structured and unstructured data such as images to help assess damage or compare to other similar images. Another example is fleet management.

Insurance 94

Insurance Transportation Unstructured Data Manufacturing 94

ProjectPro

FEBRUARY 16, 2023

While both BI and AI provide data-driven insights, they differ in how they help businesses gain a competitive edge in the data-driven marketplace. The blog will also guide you through how combining AI and BI will help improve business solutions. Tools OLAP, data visualization, reporting, and dashboards.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Cloudera

NOVEMBER 10, 2020

There is also excellent tooling for introspecting a query in case it does not perform the way you expected it to – following the query parser steps and DAG of various queries, as well as comparing two queries side by side – but more about that in a future blog.

SQL 106

SQL Unstructured Data Data Lake Hadoop 106

Cloudera

JANUARY 28, 2022

The question of the data to use will include the basics of transactional and enterprise data sources, but should expand to broader questions that will further shape the deployment strategy including third-party data, the need for real-time and/or unstructured data, ML and AI tools, etc.

Cloud 109

Cloud Banking Data Governance Government 109

U-Next

AUGUST 18, 2022

Additionally, if you’re getting ready for an interview session as a Data Scientist, you must know all Data Scientists’ traits. We’ll cover all you need to understand, like what does a Data Scientist do ? Can a Data Scientist work from home ? What Is Data Science Course?

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

DECEMBER 7, 2020

This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. Leaders are moving to “segments of one,” defined as tracking and understanding individual behaviors across all touchpoints using the data to customize offers, products, or services to the individual customer.

Retail 61

Retail Unstructured Data Big Data Media 61

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. appeared first on Cloudera Blog. Take the next step and learn more: Cloudera DataFlow.

Hospitality 91

Hospitality Kafka Retail Data Ingestion 91

Cloudera

FEBRUARY 8, 2021

The post Data – the Octane Accelerating Intelligent Connected Vehicles appeared first on Cloudera Blog. This author is passionate about industry 4.0, connected manufacturing, and connected vehicles, see more of his perspective at [link].

Manufacturing 105

Manufacturing Machine Learning Data Ingestion Electronics 105

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays. Introduction to Machine Learning Interview Questions. How Do You Define Machine Learning?

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. We will only cover AWS and S3 environments in this blog. We will leave a deeper dive for a future blog post.

AWS 81

AWS Data Unstructured Data Hadoop 81

Rockset

MAY 5, 2021

We can actually work around this (without data prep ?). To recap, in our first blog, we created an integration with MongoDB on Rockset, so Rockset can read and [update] the data coming in MongoDB. Once the data is in Rockset, we can run SQL on schemaless and unstructured data.

MongoDB 52

MongoDB Unstructured Data SQL Data 52

Cloudera

OCTOBER 21, 2020

Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. Using these forms of structured and unstructured data can unlock new insights, both in isolation and in combination with each other.

Insurance 71

Insurance Unstructured Data Hospitality Media 71

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Sentry permissions exported from CDH to Ranger policies on Data Lake. .

Cloud 68

Cloud Data Lake Cloud Storage Metadata 68

Cloudera

SEPTEMBER 10, 2018

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. We’re also seeing growing interest in that stack for near real-time analytics on Internet-of-things streaming data.

Data Warehouse 43

Data Warehouse BI Unstructured Data Data 43