Knowledge Hut

APRIL 26, 2024

B ut it is a great resource for u sers /learners to get better conne cted with the data and draw insights from it by applying different types of algorithms on it. Data science and its associated fields use algorithms, processes, and other modern tools and techniques to draw insights from vast amounts of structured and unstructured data.

Datasets 98

Datasets Machine Learning Deep Learning Finance 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

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

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 68

Unstructured Data Banking Machine Learning Media 68

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 109

Cloud Banking Data Governance Government 109

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. Be The Change. Security and governance in a hybrid environment.

Healthcare 99

Healthcare Unstructured Data Government Machine Learning 99

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. Additional retail content can be found at our retail resource kit .

Retail 90

Retail Unstructured Data Big Data Machine Learning 90

Knowledge Hut

SEPTEMBER 26, 2023

A person who designs and implements data management , monitoring, security, and privacy utilizing the entire suite of Azure data services to meet an organization's business needs is known as an Azure Data Engineer. The main exam for the Azure data engineer path is DP 203 learning path.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. This is what really stood out about the finalists of the Data Security and Governance category.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

JUNE 22, 2023

The top-line benefits of a hybrid data platform include: Cost efficiency. A hybrid data platform enables the preservation of existing investments in legacy applications and workloads without modifying them. The post Do You Know Where All Your Data Is? appeared first on Cloudera Blog. Improved scalability and agility.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

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. . Our solution: Cloudera Data Visualization.

Unstructured Data 80

Unstructured Data Pharmaceutical Data Warehouse MySQL 80

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! HUE’s table browser, with built-in data sampling. Efficient Query Design. Optimization as you go.

SQL 106

SQL Unstructured Data Data Lake Hadoop 106

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? Provides perimeter security.

Cloud Storage 66

Cloud Storage Unstructured Data AWS Analytics Application 66

DareData

JULY 5, 2023

We've seen this happen in dozens of our customers: data lakes serve as catalysts that empower analytical capabilities. If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. And what is the reason for that?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

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

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. Specification of access conditions for specific users and groups.

Cloud 68

Cloud Data Lake Cloud Storage Metadata 68

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. You have CLI access to that cluster.

AWS 81

AWS Data Unstructured Data Hadoop 81

Cloudera

OCTOBER 28, 2021

Commercial Lines insurers generally do not analyze the full range of their data, nor do they always have the right processes and technology in place to enable the collection, storage, and analysis to operationalize the data. Watch my short video to hear more about how we enable advancements in underwriting with data.

Insurance 94

Insurance Transportation Unstructured Data Manufacturing 94

Monte Carlo

AUGUST 31, 2023

Your downstream data consumers including product analysts, marketing leaders, and sales teams rely on data-driven tools like CRMs, CXPs, CMSs, and any other acronym under the sun to do their jobs quickly and effectively. But what happens when the data is wrong?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

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. PREVIOUS NEXT <

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

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. What are the advantages of Streaming Analytics?

Hospitality 91

Hospitality Kafka Retail Data Ingestion 91

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

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

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? Based on Industry.

Unstructured Data 40

Unstructured Data Medical Data Science Business Intelligence 40

Knowledge Hut

JULY 26, 2023

They enable organizations to use data as an asset, resulting in greater operational efficiency, improved decision-making, and an edge over competitors in today's data-driven corporate world. Database applications also help in data-driven decision-making by providing data analysis and reporting tools.

Database 52

Database NoSQL Telecommunication MongoDB 52

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. Want to learn more about data governance? Check out our Data Governance on Snowflake blog!

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

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

Knowledge Hut

SEPTEMBER 26, 2023

In this blog, I will share Azure administrator roles and responsibilities in 2023 and explore how aspiring professionals can prepare themselves for a more effective career with Microsoft’s latest platform advances. With the responsibility of enforcing resource access controls and threat protection policies, you have a key job role.

Cloud Computing 52

Cloud Computing Certification Cloud Database 52

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 78

Data Lake Analytics Application Cloud Storage Architecture 78

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. Implement data security measures, access controls, and encryption mechanisms to protect sensitive data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

APRIL 12, 2023

this blog post, we will explore what is Microsoft Azure, why it matters, how it works, and many more details. Virtual Hard Drives: Azure offers virtual hard drives (VHDs) that offer a significant amount of data storage. VHDs are extensions of virtual machines used for storing large amounts of data. How Does Microsoft Azure Work?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Let’s discuss and compare them to avoid misconceptions.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JANUARY 24, 2024

Much like intrepid adventurers venturing into the vast unknown, data scientists embark on a journey through the intricate maze of data, driven by the quest to unearth hidden treasures of insight. Beyond their analytical prowess, they possess the ability to uncover, refine, and present data effectively.

Database-centric 52

Database-centric Data Science Machine Learning Datasets 52

Knowledge Hut

JULY 26, 2023

Veracity meaning in big data is the degree of accuracy and trustworthiness of data, which plays a pivotal role in deriving meaningful insights and making informed decisions. This blog will delve into the importance of veracity in Big Data, exploring why accuracy matters and how it impacts decision-making processes.

Big Data 52

Big Data Data Cleanse Retail Healthcare 52

Knowledge Hut

NOVEMBER 16, 2023

The increased accessibility of online professional courses and authentic study resources has contributed significantly to bringing up the number of skilled workforces. More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

Cloudera

AUGUST 30, 2018

Consider the following practices that, until recently, were relegated to the R&D department: Data-driven decision making – the collection and analysis of data to guide decisions that improve success. For more on the data-driven journey, I would encourage you to view our Cloudera Now presentation.

Unstructured Data 40

Unstructured Data Machine Learning Data Warehouse BI 40

ProjectPro

NOVEMBER 17, 2021

In this blog, you’ll learn more about the benefits of sentiment analysis and ten project ideas divided by difficulty level. Access the Sentiment Analysis Project on Product Reviews with Source Code Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 2.

Coding 52

Coding Project Entertainment Datasets 52