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. This reduces manual effort and improves the accuracy and speed of data processing.

Food 99

Food Unstructured Data Deep Learning SQL 99

Cloudera

JUNE 7, 2022

We live in a hybrid data world. 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 108

IT Unstructured Data Data Architecture Government 108

Cloudera

DECEMBER 19, 2023

Innovations in AI-enabled data management in defense and intelligence communities also enable secure data sharing across the organization and with partners, optimizing data analysis and intelligence collaboration. Make sure to audit data regularly. Trust your data. Improve dataset quality. Trust your enterprise AI.

Government 86

Government Education Unstructured Data Datasets 86

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Cloudera

FEBRUARY 23, 2023

Solving this crisis can and should be supported by insights gained from the vast amounts of data available to healthcare providers and government agencies. With CDP, KMC was able to develop the aptly named Controlled Substance Analytics platform to leverage data analytics in the fight against opioid abuse and misuse.

Data Analytics 76

Data Analytics Electronics Pharmaceutical Medical 76

Knowledge Hut

SEPTEMBER 26, 2023

The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

APRIL 7, 2022

As a public sector leader, you don’t need the value of data explained to you. Simply collecting data isn’t enough anymore: government agencies must harness the value of that data in motion with an effective data strategy and platform. You already understand its importance to your vital missions. .

Government 90

Government Data Governance Machine Learning Cloud 90

Cloudera

MAY 18, 2022

By leveraging data, analytics, and automation, a company can gain a better understanding of where it is and where it needs to go. That means developing scenarios in which AI can boost efficiency, productivity, and process optimization through AI-enabled data analytics and automation. . Will the data have other uses? Bottom line.

Manufacturing 92

Manufacturing Retail High Quality Data Algorithm 92

Data Engineering Podcast

FEBRUARY 9, 2020

Summary Designing the structure for your data warehouse is a complex and challenging process. As businesses deal with a growing number of sources and types of information that they need to integrate, they need a data modeling strategy that provides them with flexibility and speed.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. The key is active and ongoing monitoring of prognostic health data. Cloudera is foundational in how we track and govern our data.” .

Unstructured Data 98

Unstructured Data Data Ingestion Government Machine Learning 98

Snowflake

JULY 27, 2023

In this guest blog post, HomeToGo’s director of data, Stephan Claus, explains why the company migrated to Snowflake to meet its data needs. This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Over the course of this journey, HomeToGo’s data needs have evolved considerably.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Databand.ai

JULY 11, 2023

Data Quality Platform: Benefits, Key Features, and How to Choose Eric Jones July 11, 2023 What Is a Data Quality Platform? A data quality platform is a software solution designed to help organizations manage, maintain, and improve the quality of their data. In this article: Why Do You Need a Data Quality Platform?

Data Cleanse 52

Data Cleanse Telecommunication High Quality Data BI 52

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. Most vanilla RAG implementations are difficult to manage and implement due to the non-structured format. This is only possible with well designed architectures and systems.

Database-centric 52

Database-centric Telecommunication Unstructured Data SQL 52

Cloudera

JANUARY 28, 2022

As I meet with our customers, there are always a range of discussions regarding the use of the cloud for financial services data and analytics. Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts.

Cloud 111

Cloud Banking Data Governance Government 111

Cloudera

DECEMBER 11, 2020

These include the use of more data sources to gain insights and how cloud technologies can assist with digital transformation goals to be more agile and achieve objectives more quickly. Data Variety. Insurance and finance are two industries that rely on measuring risk with historical data models. Insurance .

Insurance 92

Insurance Unstructured Data Finance Machine Learning 92

Cloudera

JULY 29, 2021

Securely protecting healthcare data is critical for your organization’s success, whether data is ingested, streamed and stored in a data platform that runs in the public, private or hybrid cloud. Public, private, hybrid or on-premise data management platform. Security and governance in a hybrid environment. Meet with us.

Healthcare 100

Healthcare Unstructured Data Government Machine Learning 100

Cloudera

MARCH 28, 2023

Today’s healthcare is driven as much by the promise of emerging technologies centered on data processing and advanced analytics as by developing new and specialized drugs. Precision healthcare leverages data and AI-powered advanced analytics to predict and prevent disease and to identify the most effective treatments for each patient.

Healthcare 66

Healthcare Electronics Food Machine Learning 66

Knowledge Hut

APRIL 26, 2024

Also called data storage areas , they help users to understand the essential insights about the information they represent. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. In the real world, data sets are huge.

Datasets 77

Datasets Machine Learning Deep Learning Finance 77

Databand.ai

JULY 19, 2023

Complete Guide to Data Ingestion: Types, Process, and Best Practices Helen Soloveichik July 19, 2023 What Is Data Ingestion? Data Ingestion is the process of obtaining, importing, and processing data for later use or storage in a database. However, the ultimate goal is simple: to prepare data for immediate use.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. End-to-end Data Lifecycle. Shared Data Experience (SDX).

Technology 88

Technology Data Management Management Insurance 88

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. A Long, Long Time Ago.

Insurance 95

Insurance Transportation Unstructured Data Manufacturing 95

Cloudera

OCTOBER 28, 2020

By using data to listen to their customers better. The most innovative companies use data and analytics to offer appropriate products and services. To start, they look to traditional financial services data, combining and correlating account activity, borrowing history, core banking, investments, and call center data.

Unstructured Data 69

Unstructured Data Banking Machine Learning Media 69

ProjectPro

FEBRUARY 16, 2023

Business Intelligence and Artificial Intelligence are popular technologies that help organizations turn raw data into actionable insights. 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. It is widely used in robotics and games.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. Database applications also help in data-driven decision-making by providing data analysis and reporting tools. What are Database Applications?

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

SEPTEMBER 17, 2020

Today’s data tool challenges. 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. .

Unstructured Data 81

Unstructured Data Pharmaceutical Data Warehouse MySQL 81

Monte Carlo

DECEMBER 22, 2023

So, as the year comes to a close, we rounded up our top 5 blogs about generative AI in 2023, to help you catch up before we venture into the AI madness of 2024 These 5 articles aim to give some clarity on the current state of generative AI, how to define use-cases and build for value, and finally, what’s coming next for data and AI teams.

High Quality Data 52

High Quality Data Data Science Data Engineering Data Engineer 52

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant. Data 100 days old might as well be 100 years old.

Retail 91

Retail Unstructured Data Big Data Machine Learning 91

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! . I came to the organization because of my interest in data & analytics specific to the insurance industry. Reference Blog. What’s your morning pick me up drink?

Insurance 53

Insurance Unstructured Data Healthcare Manufacturing 53

Cloudera

NOVEMBER 16, 2020

Use the Data Available. This requires a lot of data, a variety of data, and advanced analytic capabilities. Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications.

Insurance 97

Insurance Cloud Computing Media Education 97

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. What Are the Distinctions Between Machine Learning and Data Mining?

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Monte Carlo

DECEMBER 22, 2023

So, as the year comes to a close, we rounded up our top 5 blogs about generative AI in 2023, to help you catch up before we venture into the AI madness of 2024 These 5 articles aim to give some clarity on the current state of generative AI, how to define use-cases and build for value, and finally, what’s coming next for data and AI teams.

High Quality Data 52

High Quality Data Data Science Data Engineering Data Engineer 52

Databand.ai

JULY 19, 2023

Data Lineage Tools: Key Capabilities and 5 Notable Solutions Ryan Yackel July 19, 2023 What Are Data Lineage Tools? Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. Data lineage tools are not a new concept.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

AltexSoft

AUGUST 25, 2021

Specifics of data used in NLP. Both in daily life and in business, we deal with massive volumes of unstructured text data : emails, legal documents, product reviews, tweets, etc. Another way to handle unstructured text data using NLP is information extraction (IE). Tools you can use to build NLP models.

Process 139

Process Deep Learning Datasets Machine Learning 139

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Iceberg doesn’t delete the old data files.

Bytes 56

Bytes Metadata Data Lake SQL 56

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. The sudden rise in remote working, a huge influx in data as the world turned digital, not to mention the never-ending list of regulations businesses need to remain compliant with (how many acronyms can you name in full?

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing.

SQL 107

SQL Unstructured Data Data Lake Hadoop 107