Snowflake

MAY 2, 2023

For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic.

Healthcare 52

Healthcare Insurance Unstructured Data Data Security 52

Precisely

MAY 13, 2024

A well-integrated data catalog supports the extensive discovery, access, use, and sharing of both technical and business metadata – automating and improving your data integration and operations tasks. Questions to ask each vendor: Does your data integration solution provide access to the metadata?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

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. Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform.

Healthcare 103

Healthcare Unstructured Data Government Machine Learning 103

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. This data can be structured, semi-structured, or entirely unstructured, making it a versatile tool for collecting information from various origins.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Cloud Academy

NOVEMBER 6, 2022

Data Modeling We have a lot of data coming from multiple sources internal and external to Cloud Academy. We work with structured , semi-structured , and unstructured data. So, before hitting the data from our BI tool, we need an approach to prepare and model data in an effective way.

Cloud 52

Cloud BI Data Warehouse Business Intelligence 52

Knowledge Hut

SEPTEMBER 29, 2023

The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. Statistician A Statistician has the responsibility of getting useful insights from data.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

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. Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

AltexSoft

AUGUST 29, 2023

Getting back to the topic, the key thing to understand about a data lake isn’t its construction but rather its capabilities. It is a versatile platform for exploring, refining, and analyzing petabytes of information that continually flow in from various data sources. Who needs a data lake? Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

APRIL 20, 2023

Cyber security is a field that includes a range of different sub-disciplines. Each of these fields is involved in protecting digital assets and ensuring the security of computer systems, networks, and information. Cyber security is like superhero organizations have always wished for. What is Data Science?

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Monte Carlo

APRIL 24, 2023

One weakness of the data lake architecture was the need to “bolt on” a data store such as Hive or Glue. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Edureka

FEBRUARY 7, 2023

More than 546,200 new roles related to big data will result from this. The most sought-after jobs as a professor by the end of 2022 will be those as an Azure data engineer. I’ve covered all the information you need to become a Microsoft Azure Data Engineer, along with the roles and responsibilities of such a position.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Silectis

JANUARY 3, 2021

If you’re new to data engineering or are a practitioner of a related field, such as data science, or business intelligence, we thought it might be helpful to have a handy list of commonly used terms available for you to get up to speed. Big Data Large volumes of structured or unstructured data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

MARCH 26, 2024

Career Progression: With experience and expertise, Solutions Architects can progress to senior leadership roles such as Chief Technology Officer (CTO) or Chief Information Officer (CIO). Education & Skills Required: Bachelor's or Master's degree in Computer Science, Information Technology, or related field.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

MARCH 28, 2024

Salary (Average) $135,094 per year (Source: Talent.com) Top Companies Hiring Deloitte, IBM, Capgemini Certifications Microsoft Certified: Azure Solutions Architect Expert Job Role 3: Azure Big Data Engineer The focus of Azure Big Data Engineers is developing and implementing big data solutions with the use of the Microsoft Azure platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

MAY 8, 2015

Big data analytics is an exploding practice today as companies devote most of their budget and time to harness and understand the power of big data around them. However, businesses are not the only ones that are benefitted from big data analytics. Big data is making the world better, more connected and informed.

Big Data 40

Big Data Retail Unstructured Data Banking 40

Snowflake

JUNE 5, 2024

Additionally, upon implementing robust data security controls and meeting regulatory requirements, businesses can confidently integrate AI while meeting compliance standards. It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications.

Coding 83

Coding Building Management Government 83

ProjectPro

FEBRUARY 21, 2023

Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. The answer is- by earning professional data engineering certifications!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Snowflake

OCTOBER 26, 2023

But while the potential is theoretically limitless, there are a number of data challenges and risks HCLS executives need to be aware of when using AI that can create new content. Here’s how the right data strategy can help you get past the hazards and hurdles to implementing gen AI.

Healthcare 85

Healthcare Unstructured Data High Quality Data Medical 85

ProjectPro

JUNE 9, 2021

Data Engineering involves designing and building data pipelines that extract, analyze, and convert data into a valuable and meaningful format for predictive and prescriptive modeling. Data Engineering teams are responsible for maintaining data to make it accessible and usable by others. What is Data Science?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

APRIL 17, 2015

Latest Trends in Big Data Analytics Hadoop, NoSQL, MongoDB, and Apache Spark are the buzzwords with big data technologies - reverberating to leave a digital trace of data in everyone’s life which can be used for analysis. Target data breach is recorded as one of the largest data breaches in history of US.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

APRIL 25, 2024

Data analytics is exploding in boardrooms all over the world, offering enterprise-wide commercial success techniques. Gaining the appropriate expertise, which results in information, enables organizations to develop a competitive edge, which is crucial for enterprises to successfully leverage Big Data.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

JULY 24, 2023

Disruptive database technologies include, for instance: Blockchain Blockchain is a distributed ledger technology that enables data to be safely stored across several nodes in a decentralized (or sometimes in a centralized) manner. These nodes contain hashed/encrypted information to ensure security at each level.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

NOVEMBER 7, 2023

With quick access to various technologies through the cloud, you can develop more quickly and create almost anything you can imagine. You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

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 76

Unstructured Data Data Lake Data Architecture Data 76

Towards Data Science

DECEMBER 4, 2023

We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Data Lake A data lake would serve as a repository for raw and unstructured data generated from various sources within the Formula 1 ecosystem: telemetry data from the cars (e.g.

Data Engineering 80

Data Engineering Data Engineer Engineering Data Lake 80

Monte Carlo

FEBRUARY 15, 2023

A data warehouse tool should be optimized for analytical queries, with features such as columnar storage, that make it much faster to process common ad-hoc questions. Let’s imagine a scenario where you’re collecting orders information. Data can be loaded in batches or can be streamed in near real-time.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

U-Next

SEPTEMBER 7, 2022

A firm can benefit immensely from maintaining accurate and clean employee data, as it is still a difficult task. . Access to employee data and information is essential for efficient staff management. It includes every piece of vital data about an employee on their profiles. . Improved Data Security and Sharing.

Data Management 52

Data Management Management Electronics Unstructured Data 52

Knowledge Hut

SEPTEMBER 22, 2023

At the moment, data is the greatest superpower. I, as a business owner, can make better decisions if the right and relevant data is collected. Furthermore, effective information utilisation may help to enable enhancements in customer service. This has contributed to the unexpected increase in demand for data scientists.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Generalist 120

Generalist Telecommunication Healthcare Data 120

Knowledge Hut

NOVEMBER 17, 2023

Today, data is everything, and every technology runs around managing, storing, accessing, and processing this data. After the introduction of cloud computing, the need for managing expanding data is getting more critical. Below are the benefits of why data scientists across the globe highly adopt AWS.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Workfall

MARCH 21, 2023

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Information retrieval Information retrieval is the process of obtaining information, often from large databases, that is relevant to a specific query or need. Why use it?

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. We're dealing with massive amounts of information, and making sure it's accurate and reliable is a big deal.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Meltano

OCTOBER 5, 2022

Data engineering is the process of designing systems for collecting, storing, and analyzing large volumes of data. Put simply, it is the process of making raw data usable and accessible to data scientists, business analysts, and other team members who rely on data. Why Is Data Engineering Important?

Data Engineering 52

Data Engineering Data Engineer Engineering Raw Data 52