Knowledge Hut

JANUARY 30, 2024

Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

FEBRUARY 11, 2023

Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data. Let’s take an example of healthcare data which contains sensitive details called protected health information (PHI) and falls under the HIPAA regulations.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

MARCH 26, 2024

Varied Roles: Solutions Architects work across various industries, including IT consulting firms, technology vendors, financial services, healthcare, and more. Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

AltexSoft

AUGUST 29, 2023

Unstructured data sources. This category includes a diverse range of data types that do not have a predefined structure. Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

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. As data becomes more and more foundational to business, data teams will only grow.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Knowledge Hut

APRIL 23, 2024

Go for the best Big Data courses and work on ral-life projects with actual datasets. Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries.

Big Data 52

Big Data Retail Recruitment Transportation 52

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking.

Metadata 83

Metadata Healthcare Medical Data Storage 83

Knowledge Hut

NOVEMBER 7, 2023

Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them. Cloud computing enables enterprises to access massive amounts of organized and unstructured data in order to extract commercial value.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

APRIL 25, 2024

When done correctly, data integration can enhance data quality, free up resources, lower IT costs, and stimulate creativity without significantly modifying current applications or data structures. Data Governance Data governance is the process of ensuring that data is trustworthy, accurate, available, and usable.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

ProjectPro

JANUARY 27, 2023

Data Warehousing - ETL tools and processes can be leveraged to load data into a data warehouse for reporting and analysis. Master Data Management - ETL processes can be leveraged to maintain a single version of truth for key data entities by enforcing data governance, consolidation, and tracking data lineage.

BI 52

BI ETL Tools Retail Healthcare 52

Striim

AUGUST 31, 2023

Additionally, it allows for efficient processing of both real-time and historical data which eliminates the need for multiple versions of the same dataset or manually managed systems. The versatility offered by kappa architectures makes them suitable for many industries such as healthcare, finance, retail, telecoms energy and more.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

Knowledge Hut

JULY 24, 2023

From retail giants tracking customer behavior to healthcare organizations optimizing patient care, the possibilities are endless. It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions.

Database 52

Database NoSQL Management Relational Database 52

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DVC — Open-source Version Control System for Machine Learning Projects … data version control. Process Analytics.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

AltexSoft

JULY 29, 2022

According to the latest report by Allied Market Research , the Big Data platform will see the biggest rise in adoption in telecommunication, healthcare, and government sectors. In September 2021 Snowflake announced the public preview of the unstructured data management functionality. Source: Allied Market Research.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Monte Carlo

JULY 15, 2021

After all, it doesn’t matter how advanced your data platform is or how many dashboards you produce if you can’t rely on the data feeding them. Similarly, a VP of Data Engineering at a healthcare startup we spoke with noted that if he was in his 20s, he would have wanted to build a data quality solution.

Building 40

Building Pipeline-centric Data Engineering Data Engineer 40