Snowflake

FEBRUARY 13, 2025

Furthermore, most vendors require valuable time and resources for cluster spin-up and spin-down, disruptive upgrades, code refactoring or even migrations to new editions to access features such as serverless capabilities and performance improvements.

Management 90

Management Government Cloud Unstructured Data 90

Data Engineering Weekly

MARCH 5, 2025

Initially, catalogs focused on managing metadata for structured data in Iceberg tables. However, the vision is expanding to encompass unstructured data (images, videos, audio) and AI models. This "catalog of catalogs" or "uber catalog" approach aims to provide a unified interface for accessing all data types.

Hadoop 57

Hadoop Metadata Data Ingestion Data Governance 57

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Cloudera

OCTOBER 7, 2021

Comprehensive Data Security: Access to data assets should be governed by a robust security mechanism that ensures authentication for data participants based on enterprise-wide standards (data participants being data producers and consumers) and applies fine-grained data access permissions based on the data types (e.g.,

Architecture 124

Architecture Metadata Kafka Government 124

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Cloud 105

Cloud Unstructured Data Metadata Government 105

Snowflake

NOVEMBER 2, 2023

Rather than defining schema upfront, a user can decide which data and schema they need for their use case. Snowflake has long supported semi-structured data types and file formats like JSON, XML, Parquet, and more recently storage and processing of unstructured data such as PDF documents, images, videos, and audio files.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

Data Engineering Podcast

SEPTEMBER 14, 2020

Tree Schema is a data catalog that is making metadata management accessible to everyone. With Tree Schema you can create your data catalog and have it fully populated in under five minutes when using one of the many automated adapters that can connect directly to your data stores.

Process 100

Process Unstructured Data Metadata Data Engineering 100

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 74

Unstructured Data Banking Machine Learning Media 74

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. I often hear this at industry events and in conversations with insurers.

Insurance 97

Insurance Transportation Unstructured Data Manufacturing 97

Snowflake

JUNE 28, 2023

Python Unstructured Data Processing (PuPr) – Unstructured data processing is now natively supported with Python. External Network Access (PrPr) – Allows users to seamlessly connect to external endpoints from their Snowpark code (UDFs/UDTFs and Stored procedures) while maintaining high security and governance.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Edureka

JUNE 7, 2024

With generative AI such as ChatGPT, Gemini, Midjourney AI, and Dall-E, you can create (or to be more specific, generate) new content such as images, text, and code from scratch based on the patterns and relationships learned from training data. Predictive AI thrives on data. The more historical data you feed it (e.g.,

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What are the advantages of Streaming Analytics?

Kafka 95

Kafka Hospitality Retail Data Ingestion 95

Cloudera

DECEMBER 19, 2023

Some of the primary operational problems highlighted at the PCN Government Innovation event include: Civil Government : A major challenge facing the civil government is the inefficient and cumbersome procurement process. Limit access and capabilities initially. Our government leaders had several suggestions: Start small.

Government 91

Government Education Unstructured Data Algorithm 91

Cloudera

JANUARY 5, 2021

Streaming or real-time data from on-vehicle sensors, shelf, or point of sale are leveraged along with historical archives of consumer purchase behavior or inventory stock levels. Including new data sources like demand signals (e.g.

Retail 91

Retail Unstructured Data Big Data Machine Learning 91

Snowflake

JUNE 5, 2024

It provides access to industry-leading large language models (LLMs), enabling users to easily build and deploy AI-powered applications. By using Cortex, enterprises can bring AI directly to the governed data to quickly extend access and governance policies to the models.

Coding 114

Coding Building Management Government 114

Cloudera

JULY 26, 2021

The alleviation of infrastructure and computational constraints associated with solely on-premises data platforms; Data Products can now use different deployment models (e.g., The proliferation of real-time processing by deploying event-driven architectures (e.g., Deep Java Learning, Apache Spark 3.x,

Generalist 119

Generalist Telecommunication Healthcare Data Science 119

Towards Data Science

OCTOBER 7, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 98

Unstructured Data Finance SQL Database 98

Cloudera

OCTOBER 26, 2020

Attribute-based access control and SparkSQL fine-grained access control. Lineage and chain of custody, advanced data discovery and business glossary. Store and access schemas across clusters and rebalance clusters with Cruise Control. Relevance-based text search over unstructured data (text, pdf,jpg, …).

Certification 87

Certification Cloud Kafka Unstructured Data 87

Towards Data Science

DECEMBER 4, 2023

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 Marts There is a thin line between Data Warehouses and Data Marts. Data models are built around business needs.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Create schedules or events that will act as job triggers.

AWS 98

AWS Scala Metadata Data Lake 98

Data Engineering Weekly

DECEMBER 16, 2024

Organizations across industries moved beyond experimental phases to implement production-ready GenAI solutions within their data infrastructure. Natural Language Interfaces Companies like Uber, Pinterest, and Intuit adopted sophisticated text-to-SQL interfaces, democratizing data access across their organizations.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

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 71

Cloud Storage Unstructured Data AWS Analytics Application 71

Snowflake

JULY 13, 2023

Powered by our latest product offerings and the ways in which we’re enabling companies to leverage AI as a competitive advantage, this year’s event was electrifying, with tons of fantastic product demos, customer sessions, keynotes , and more. Whether you missed the event this year (there’s always Summit 2024 !)

Entertainment 79

Entertainment Retail Manufacturing Media 79

Towards Data Science

FEBRUARY 9, 2024

In truth, the synergy between batch and streaming pipelines is essential for tackling the diverse challenges posed to your data platform at scale. The key to seamlessly addressing these challenges lies, unsurprisingly, in data orchestration.

Building 98

Building Transportation Data Lake Metadata 98

Confluent

MARCH 4, 2019

Innovative companies experiment with data to come up with something useful. It usually starts with the opening of a firehose that continuously broadcasts tons of events before they start mining it to create music out of simply noise. We need something that does not only store data but processes events as they happen.

Cloud 88

Cloud Banking Kafka NoSQL 88

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. This data requires immediate processing to provide up-to-the-minute insights and enable timely decision-making, making it the ideal choice for modern businesses.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 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

U-Next

SEPTEMBER 7, 2022

In the event that they are not the same, what are the difference s? Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. Data Lake Vs. Data Warehouse: Latest Industry Stats . The DW and databases support multi-user access.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Cloudera

NOVEMBER 18, 2021

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. transactions per day and processing information at a rate of 1k events per second. Data for Good. Cloud Innovation.

Banking 77

Banking Data Lake Telecommunication Data 77

Monte Carlo

OCTOBER 4, 2023

Given LLMs’ capacity to understand and extract insights from unstructured data, businesses are finding value in summarizing, analyzing, searching, and surfacing insights from large amounts of internal information. Let’s explore how a few key sectors are putting gen AI to use.

Unstructured Data 72

Unstructured Data Finance SQL Database 72

Knowledge Hut

JUNE 26, 2023

When screening resumes, most hiring managers prioritize candidates who have actual experience working on data engineering projects. Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

ProjectPro

JANUARY 27, 2023

Top 7 Data Science Applications in Finance Financial technology, or FinTech, refers to the use of technology by providers of financial services to optimize the usage and delivery of their services to customers. Start your journey as a Data Scientist today with solved end-to-end Data Science Projects 4.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

AltexSoft

SEPTEMBER 23, 2021

It’s not a single technology, but rather an architectural approach that unites storages, data integration and orchestration tools. With a data hub, businesses receive the means to structure, and harmonize information collected from various sources. Data lake vs data hub. Data access layer: data querying.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 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. What is Jamstack?

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

Data Engineering Weekly

APRIL 7, 2024

[link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out. It is evident that it will become the foundation of trusted sources, which is essential to taking advantage of advancements from LLMs.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

ProjectPro

OCTOBER 28, 2015

Sqoop in Hadoop is mostly used to extract structured data from databases like Teradata, Oracle, etc., and Flume in Hadoop is used to sources data which is stored in various sources like and deals mostly with unstructured data. The complexity of the big data system increases with each data source.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

AltexSoft

JUNE 7, 2021

As a result, a Big Data analytics task is split up, with each machine performing its own little part in parallel. Hadoop hides away the complexities of distributed computing, offering an abstracted API to get direct access to the system’s functionality and its benefits — such as. High latency of data access. scalability.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98