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. Data security and governance champions – Merck KGaA. It established a data governance framework within its enterprise data lake.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days. appeared first on Cloudera Blog.

Hospitality 92

Hospitality Kafka Retail Data Ingestion 92

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

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

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. According to Microsoft, almost 400,000 companies register for the Azure platform each year. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

JULY 4, 2023

The rising demand for data analysts along with the increasing salary potential of these roles is making this an increasingly attractive field. But which are the highest-paying data analytics jobs available? This blog lists some of the most lucrative positions for aspiring data analysts.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Monte Carlo

AUGUST 31, 2023

Alongside Lior Gavish, Barr set out to get to the root cause of the “data downtime” issue. Together, they interviewed hundreds of data teams about their biggest problems, and time and again, data quality sprang to the top of the list. A close attention to data quality through testing, monitoring, and observability.

Data Lake 52

Data Lake Data Pipeline Unstructured Data 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. With this service, communication only occurs between the enterprise network and the targeted service, ensuring secure and efficient data transfer. Who Uses Microsoft Azure?

Cloud Computing 52

Cloud Computing Amazon Web Services Certification Cloud 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

OCTOBER 18, 2021

Patient's Sickness Prediction System Machine learning has been proven effective in the field of healthcare also. Traditional healthcare systems became increasingly challenging to cater to the needs of millions of patients. Every modern healthcare equipment and gadget comes with internal apps that can store patient's data.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Edureka

AUGUST 2, 2023

Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly. Data processing analysts can be useful in this situation. Let’s take a deep dive into the subject and look at what we’re about to study in this blog: Table of Contents What Is Data Processing Analysis?

Data Process 52

Data Process Process Data Cleanse Data Mining 52

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?

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Knowledge Hut

DECEMBER 26, 2023

Analyzing and organizing raw data Raw data is unstructured data consisting of texts, images, audio, and videos such as PDFs and voice transcripts. The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

MAY 19, 2015

In this blog we have come up with the 5 best reasons to learn Hadoop. The requirement for processing zettabytes of unstructured big data is generating demand for professionals with Hadoop skills to work with unstructured data. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

ProjectPro

JANUARY 27, 2023

If you're wondering how the ETL process can drive your company to a new era of success, this blog will help you discover what use cases of ETL make it a critical component in many data management and analytic systems. ETL for IoT - Use ETL to analyze large volumes of data IoT devices generate.

BI 52

BI ETL Tools Retail Healthcare 52

Edureka

JANUARY 18, 2024

It also discusses available resources and tools, and the current data science landscape. For those looking to start learning in 2024, here is a data science roadmap to follow. What is Data Science? Their contribution to risk management, medical progress, and research makes them indispensable in the data-driven world of today.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

Cloudera

JULY 26, 2021

Once we have identified those capabilities, the second article explores how the Cloudera Data Platform delivers those prerequisite capabilities and has enabled organizations such as IQVIA to innovate in Healthcare with the Human Data Science Cloud. . Business and Technology Forces Shaping Data Product Development.

Generalist 115

Generalist Telecommunication Healthcare Data 115

Cloudera

SEPTEMBER 12, 2022

Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. And second, for the data that is used, 80% is semi- or unstructured. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse.

Unstructured Data 72

Unstructured Data Data Lake Data Architecture Data 72

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 57

Data Warehouse Unstructured Data Medical Pharmaceutical 57

Knowledge Hut

JULY 24, 2023

From retail giants tracking customer behavior to healthcare organizations optimizing patient care, the possibilities are endless. In this blog, we will talk about the future of database management. Hybrid databases offer flexibility in handling and storing various types of data and may be installed on-premises or in the cloud.

Database 52

Database NoSQL Management Relational Database 52

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API.

Systems 86

Systems Hadoop Metadata Telecommunication 86

ProjectPro

JANUARY 19, 2022

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Cloudera

AUGUST 31, 2020

The XM platform, smg360 , helps customers across verticals, including restaurants, retail, and healthcare, drive changes that boost loyalty and improve business outcomes. . With data at the heart of its business, SMG has for many years pursued the most cutting-edge data management technologies.

Management 63

Management Hadoop Data Warehouse Data Science 63

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. John Snow Labs — Data curation, data science, data engineering, and data operations services.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

AltexSoft

OCTOBER 3, 2022

In the real world, most data is unstructured data e.g., text, images, audio, and video. While graph databases can store such data, there’s a problem with using them for machine learning tasks. Drug discovery in healthcare. At Netflix, we apply this concept to the knowledge contained in the content universe.”.

Relational Database 52

Relational Database Banking Media Computer Science 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

MAY 14, 2021

It’s worth noting though that data collection commonly happens in real-time or near real-time to ensure immediate processing. Text mining is an advanced analytical approach used to make sense of Big Data that comes in textual forms such as emails, tweets, researches, and blog posts.

Big Data 78

Big Data Data Analytics IT NoSQL 78

U-Next

OCTOBER 26, 2022

The future of AI in finance is thoroughly discussed in this blog. . It mainly focuses on building systems that perform based on the input data without requiring numerous human interventions such as coding, etc. AI assesses unstructured data about potentially dangerous actions or activities in an organization’s operations.

Finance 40

Finance Portfolio Banking Algorithm 40

ProjectPro

JUNE 26, 2015

Big data companies are busy discovering novel big data solutions to make the best out of big data analytics to grow their businesses. All these big data applications have become an integral part of our daily lives; however, big data is being used in many unconventional ways across different industries.

Big Data 40

Big Data Food Unstructured Data Retail 40

Tweag

APRIL 19, 2023

As scary or awe-inspiring as it is, one can’t deny the great impact AI can have when applied to fields with positive social value, such as healthcare. Large Language Models (LLMs)… The list of hyped buzzwords goes on and on, even more so since ChatGPT made a wider audience realize what is now achievable.

Medical 60

Medical Process Cloud Bytes 60

ProjectPro

AUGUST 16, 2021

NLP projects are a treasured addition to your arsenal of machine learning skills as they help highlight your skills in really digging into unstructured data for real-time data-driven decision making. Topic Modelling Topic modelling is the inference of main keywords or topics from a large set of data.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

ProjectPro

MARCH 23, 2016

Hadoop has become the go-to big data technology because of its power for processing large amounts of semi-structured and unstructured data. Hadoop is not popular for its processing speed in dealing with small data sets. It has a robust community support that is evolving over time with novel advancements.

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

JULY 9, 2021

But one cannot use neural networks for unstructured data like images, videos, sensor data, etc. We need multiple hidden layers (sometimes even thousands) for these types of data, so we use deep neural networks. Pros of SOMs We can easily interpret and understand the data using SOM.

Deep Learning 40

Deep Learning Algorithm Machine Learning Datasets 40

Snowflake

JULY 13, 2023

In this blog post, we delve into the event highlights across our industries as well as key takeaways from Snowflake’s industry leaders. Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs). OpenTable discussed how it reduced MarTech spend by 50% with the Retail Data Cloud.

Entertainment 57

Entertainment Retail Manufacturing Media 57

Knowledge Hut

APRIL 23, 2024

So, BI empowers businesses to understand their respective customers, make data-driven decisions, and analyze market trends. So, let us explore the future of business intelligence further in this blog. NLP also allows businesses to generate insights from unstructured data sources like customer feedback and social media.

Business Intelligence 52

Business Intelligence BI Data Analysis Media 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. are examples of semi-structured data.

Big Data 52

Big Data Coding Project Hadoop 52