Knowledge Hut

APRIL 26, 2024

Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data. Many datasets are available online for learners who are starting off on building machine learning models. It can lead to low-cost affordable care that everyone can access.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Cloudera

JANUARY 5, 2021

Once establishing deeper knowledge of the customer, we then discussed building ‘segments of one” through localized assortments, tailored promotions, dynamic pricing, and product development that is reflective of the true needs of the customer. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant.

Retail 90

Retail Unstructured Data Big Data Machine Learning 90

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

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 70

Unstructured Data Banking Machine Learning Media 70

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 108

IT Unstructured Data Data Architecture Government 108

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. If you build it yourself, will the value be there? The post Do You Know Where All Your Data Is? Flexibility.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

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

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 67

Cloud Storage Unstructured Data AWS Analytics Application 67

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. Then rinse and repeat. Efficient Query Design.

SQL 107

SQL Unstructured Data Data Lake Hadoop 107

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 Data Warehouse Pharmaceutical MySQL 80

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 82

AWS Data Unstructured Data Hadoop 82

Monte Carlo

AUGUST 31, 2023

As the data analyst or engineer responsible for managing this data and making it usable, accessible, and trustworthy, rarely a day goes by without having to field some request from your stakeholders. But what happens when the data is wrong? What is Data Quality?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Rockset

AUGUST 29, 2019

In this blog, we examine DynamoDB reporting and analytics, which can be challenging given the lack of SQL and the difficulty running analytical queries in DynamoDB. We will demonstrate how you can build an interactive dashboard with Tableau, using SQL on data from DynamoDB, in a series of easy steps, with no ETL involved.

NoSQL 40

NoSQL SQL Building Unstructured Data 40

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

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

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. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

APRIL 12, 2023

Azure provides organizations with the tools and services needed to build, deploy, and manage applications and services on the cloud. this blog post, we will explore what is Microsoft Azure, why it matters, how it works, and many more details. These services allow you to build, deploy, and manage applications and services on the cloud.

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 52

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

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

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

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

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. Informatica’s Big Data Manager and Qlik’s acquisition of Podium Data are just 2 examples.

Data Warehouse 43

Data Warehouse BI Unstructured Data Data 43

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Table of Contents What is a Data Pipeline? The Importance of a Data Pipeline What is an ETL Data Pipeline? What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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. Their main responsibilities include processing data, identifying valuable data sources, combining models, integrating data, etc. billion on IT in 2022.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

ProjectPro

NOVEMBER 17, 2021

Building a portfolio of projects will give you the hands-on experience and skills required for performing sentiment analysis. 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 Movie Reviews with Source Code 3.

Coding 52

Coding Project Entertainment Datasets 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Science- Definition Data Science is an interdisciplinary branch encompassing data engineering and many other fields. What is Data Science? But how does it change data?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

SEPTEMBER 14, 2016

Many ProjectPro students looking to make transition into big data hadoop careers often want to know in detail about the hadoop developer job roles and responsibilities before they enrol for a hadoop training. Here’s a blog post that answers the question and details out the job responsibilities of a hadoop developer.

Hadoop 40

Hadoop Unstructured Data Java Big Data 40

Snowflake

JUNE 28, 2023

By bringing compute closer to the data businesses can eliminate data silos, address security and governance challenges, and optimize operations, leading to enhanced efficiency, all while avoiding the management overhead associated with additional systems and infrastructure.

Python 52

Python Accessible Accessibility Pipeline-centric 52

ProjectPro

OCTOBER 18, 2021

To build such ML projects, you must know different approaches to cleaning raw data. For monitoring and visualizing analyzed stock price and stock market data, you can use Tableau. It contains all the attributes you need to build your stock price prediction system. Source: Moneyexcel 4. Text Processing b.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. Postgres), and maybe even data lake (i.e.

Kafka 40

Kafka Database Process SQL 40

Cloudera

MAY 14, 2024

This form of hybrid also goes a level deeper than one may find in a standard hybrid cloud, accounting for the entirety of the data lifecycle, whether that’s the point of ingestion, warehousing, or machine learning—even when that end-to-end data lifecycle is split between entirely different environments. Data comes in many forms.

Cloud 85

Cloud Data Governance Unstructured Data Data Architecture 85

ProjectPro

MAY 20, 2015

There are several big data and business analytics companies that offer a novel kind of big data innovation through unprecedented personalization and efficiency at scale. Which big data analytic companies are believed to have the biggest potential? Employees get add on dental, health benefits, a wellness program.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Cloudera

NOVEMBER 14, 2023

Of the many things one might take for granted, access to banking and financial services may not immediately come to mind. billion adults worldwide who do not have access to formal financial services, it is very real and presents massive challenges to driving economic development and poverty reduction.

Banking 73

Banking Education Unstructured Data Algorithm 73

ProjectPro

SEPTEMBER 11, 2015

Let us see what Industry Experts have to say on this: Gus Segura, Principal Data Science Engineer, Blueskymetrics - says Yes. Learning Hadoop will ensure that you can build a secure career in Big Data. Big Data is not going to go away. There will always be a place for RDBMS, ETL, EDW and BI for structured data.

Hadoop 52

Hadoop Java BI Big Data 52