Monte Carlo

FEBRUARY 12, 2024

Today, this first-party data mostly lives in two types of data repositories. If it is structured data then it’s often stored in a table within a modern database, data warehouse or lakehouse. If it’s unstructured data, then it’s often stored as a vector in a namespace within a vector database.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Snowflake

APRIL 8, 2024

BigGeo BigGeo accelerates geospatial data processing by optimizing performance and eliminating challenges typically associated with big data. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data.

Pipeline-centric 129

Pipeline-centric Food Healthcare Unstructured Data 129

Snowflake

JANUARY 18, 2024

A robust, flexible architecture Snowflake’s unique architecture is designed to handle the full volume, velocity and variety of data without making manufacturers deal with downtime for upgrades or compute changes. In addition, Snowflake is cloud-agnostic and can be moved to and from different cloud environments.

Manufacturing 93

Manufacturing Unstructured Data Cloud Architecture 93

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The blog is an excellent summary of the existing unstructured data landscape.

Data Engineering 59

Data Engineering Data Engineer Engineering Unstructured Data 59

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Data Warehouse 87

Data Warehouse Unstructured Data Pharmaceutical MySQL 87

DoorDash Engineering

APRIL 26, 2023

Extraction of structured information Another strength of Generative AI is to understand unstructured data and parse it into a more structured format. This reduces manual effort and improves the accuracy and speed of data processing.

Food 98

Food Unstructured Data Deep Learning SQL 98

Knowledge Hut

MAY 3, 2024

Cluster Computing: Efficient processing of data on Set of computers (Refer commodity hardware here) or distributed systems. It’s also called a Parallel Data processing Engine in a few definitions. Spark is utilized for Big data analytics and related processing. Happy Learning!!!

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Cloudera

FEBRUARY 15, 2024

Scalability and future-proofing: Modern data architecture offers robust data integration capabilities, allowing efficient and real-time data ingestion from various sources, including structured databases, unstructured data, streaming data, and external data feeds.

Insurance 93

Insurance Banking Data Architecture Data Ingestion 93

Cloudera

OCTOBER 26, 2020

Relevance-based text search over unstructured data (text, pdf,jpg, …). Ability to query high volumes of data (“big data”) in large clusters. Integration with Kudu for fast data and ranger for policies. Virtual private clusters. Automated wire encryption setup. Fine-grained RBAC for administrators.

Certification 93

Certification Cloud Kafka Unstructured Data 93

Snowflake

SEPTEMBER 7, 2023

select chatGPT('Create a SQL statement to find all the stores that have more than 100 customers per day in Washington'); How to get started You can get started with unstructured data processing by following usage instructions in our documentation and quickstart guide, which includes step-by-step setup instructions.

Amazon Web Services 122

Amazon Web Services AWS Government Python 122

Data Engineering Weekly

SEPTEMBER 18, 2024

The Rise of Data Observability Data observability has become increasingly critical as companies seek greater visibility into their data processes. This growing demand has found a natural synergy with the rise of the data lake.

Data Lake 98

Data Lake Data Pipeline Unstructured Data Datasets 98

Cloudera

AUGUST 16, 2021

Hundreds of built-in processors make it easy to connect to any application and transform data structures or data formats as needed. Since it supports both structured and unstructured data for streaming and batch integrations, Apache NiFi is quickly becoming a core component of modern data pipelines.

Cloud 122

Cloud Unstructured Data Utilities Metadata 122

Snowflake

NOVEMBER 29, 2023

Figure 2: Questions answered by precision medicine Snowflake and FAIR in the world of precision medicine and biomedical research Cloud-based big data technologies are not new for large-scale data processing. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 89

Metadata Healthcare Medical Data Storage 89

Cloudera

OCTOBER 21, 2020

Instead of in-person appointments or walkthroughs, insurance companies may now rely on drone footage, satellite imagery, social media posts, and mobile apps that gather data on customers. Using these forms of structured and unstructured data can unlock new insights, both in isolation and in combination with each other.

Insurance 77

Insurance Unstructured Data Hospitality Media 77

Snowflake

APRIL 10, 2023

We transform unstructured data, such as text, images, and videos, into semantic fingerprints. From there, we can process information not unlike how humans do. The difference between semantha and humans is semantha processes data in seconds instead of months.” As a Snowflake partner, it was another natural choice.

Unstructured Data 59

Unstructured Data Manufacturing Insurance Government 59

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?

Cloud Storage 72

Cloud Storage Unstructured Data AWS Analytics Application 72

U-Next

MARCH 1, 2023

Being a hybrid role, Data Engineer requires technical as well as business skills. They build scalable data processing pipelines and provide analytical insights to business users. A Data Engineer also designs, builds, integrates, and manages large-scale data processing systems.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis. It focuses on collecting, storing, and processing extensive datasets.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

Monte Carlo

OCTOBER 10, 2024

Let’s dive into the responsibilities, skills, challenges, and potential career paths for an AI Data Quality Analyst today. Table of Contents What Does an AI Data Quality Analyst Do? Handling unstructured data Many AI models are fed large amounts of unstructured data, making data quality management complex.

Unstructured Data 52

Unstructured Data Google Cloud Machine Learning ETL Tools 52

Striim

SEPTEMBER 11, 2024

Furthermore, Striim also supports real-time data replication and real-time analytics, which are both crucial for your organization to maintain up-to-date insights. By efficiently handling data ingestion, this component sets the stage for effective data processing and analysis. Are we using all the data or just a subset?

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

SEPTEMBER 21, 2023

The data driving the provider’s application is stored and processed in the provider’s own Snowflake account. Beyond delivering powerful analytical experiences, providers differentiate their products by offering live, ready-to-query data to their customers through the Snowflake Data Cloud.

Google Cloud 91

Google Cloud Unstructured Data Technology Data 91

Knowledge Hut

AUGUST 16, 2024

Hadoop, Apache Spark, Data Visualization tools are a few of the Data Science skills necessary to become a Data Scientist. Hadoop As Data Scientists deal with huge volumes of data, sometimes the memory of the system might not be enough to carry out the processing.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Obviously, Big Data processing involves hundreds of computing units.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

APRIL 23, 2024

They also facilitate historical analysis, as they store long-term data records that can be used for trend analysis, forecasting, and decision-making. Big Data In contrast, big data encompasses the vast amounts of both structured and unstructured data that organizations generate on a daily basis.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

DataKitchen

APRIL 13, 2021

Composable Analytics — A DataOps Enterprise Platform with built-in services for data orchestration, automation, and analytics. Reflow — A system for incremental data processing in the cloud. Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

ProjectPro

SEPTEMBER 30, 2014

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations.

Hadoop 52

Hadoop ETL Tools Unstructured Data ETL System 52

Data Engineering Weekly

DECEMBER 25, 2023

Integrating AI into data workflows is not just a trend but a paradigm shift, making data processes more efficient and intelligent. Lake House Architectures: The New Frontier Lakehouse architectures have been at the forefront of data engineering discussions this year.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Knowledge Hut

JANUARY 18, 2024

IBM is one of the best companies to work for in Data Science. The platform allows not only data storage but also deep data processing by making use of Apache Hadoop. The CDP private cloud is a scalable data storage solution that can handle analytical and machine learning workloads.

Data Science 98

Data Science Amazon Web Services Big Data Finance 98

ProjectPro

MARCH 19, 2015

RDBMS is not always the best solution for all situations as it cannot meet the increasing growth of unstructured data. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data.

Data Lake 81

Data Lake SQL Data Data Warehouse 81

ProjectPro

FEBRUARY 8, 2023

AWS Glue is a widely-used serverless data integration service that uses automated extract, transform, and load ( ETL ) methods to prepare data for analysis. It offers a simple and efficient solution for data processing in organizations. Glue works absolutely fine with structured as well as unstructured data.

AWS 98

AWS Scala Metadata Data Lake 98

Cloudera

DECEMBER 3, 2020

A lot of the traditional in-person methods used for gathering data in insurance are now impossible and new ways of capturing data remotely are being implemented. The data being captured in forms of structured and unstructured data can unlock new insights. Reference Blog.

Insurance 54

Insurance Unstructured Data Healthcare Manufacturing 54

Precisely

APRIL 30, 2024

RPA is best suited for simple tasks involving consistent data. It’s challenged by complex data processes and dynamic environments Complete automation platforms are the best solutions for complex data processes. These include: Structured data dependence: RPA solutions thrive on well-organized, predictable data.

Unstructured Data 59

Unstructured Data Government Data Validation Programming 59

phData: Data Engineering

NOVEMBER 8, 2024

With the collective power of the open-source community, Open Table Formats remain at the cutting edge of data architecture, evolving to support emerging trends and addressing the limitations of previous systems. They also support ACID transactions, ensuring data integrity and stored data reliability.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

JUNE 5, 2024

Comparison of Snowflake Copilot and Cortex Analyst Cortex Search: Deliver efficient and accurate enterprise-grade document search and chatbots Cortex Search is a fully managed search solution that offers a rich set of capabilities to index and query unstructured data and documents.

Coding 93

Coding Building Management Government 93

Knowledge Hut

DECEMBER 26, 2023

Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts. Both structured and unstructured data may be present in this data. Microsoft's Big Data strategy is broad and expanding rapidly.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52