Snowflake

JANUARY 30, 2025

Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language. While gen AI holds a lot of promise, it also comes with a long list of cautionary what-ifs when used in production: What if our sensitive data is exposed when using an LLM?

Unstructured Data 97

Unstructured Data Entertainment Healthcare Telecommunication 97

Snowflake

FEBRUARY 18, 2025

Businesses looking to take advantage of their unstructured data need to figure out how to accomplish three often challenging things: Bring data in: What is the right paradigm for ingesting unstructured data? Parse data: What does analyzing unstructured data look like?

Unstructured Data 87

Unstructured Data Insurance Structured Data Government 87

Snowflake

APRIL 2, 2025

Data storage has been evolving, from databases to data warehouses and expansive data lakes, with each architecture responding to different business and data needs. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew.

Data Lake 97

Data Lake Cloud Storage Metadata Data Warehouse 97

Edureka

APRIL 22, 2025

The alternative, however, provides more multi-cloud flexibility and strong performance on structured data. Its multi-cluster shared data architecture is one of its primary features. It combines several data tools into a single user interface, including Power BI, Data Factory, Synapse, and OneLake.

BI 52

BI Pipeline-centric Data Lake Google Cloud 52

Analytics Vidhya

FEBRUARY 2, 2023

Introduction SQL injection is an attack in which a malicious user can insert arbitrary SQL code into a web application’s query, allowing them to gain unauthorized access to a database. We can use this to steal sensitive information or make unauthorized changes to the data stored in the database.

Database 209

Database SQL Coding Accessibility 209

Data Engineering Weekly

MARCH 5, 2025

Start the Data Governance Process: Don't wait until the last minute to build the data governance framework. The Catalog Conundrum: Beyond Structured Data The role of the catalog is evolving. Initially, catalogs focused on managing metadata for structured data in Iceberg tables.

Hadoop 58

Hadoop Metadata Data Ingestion Data Governance 58

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 115

Coding Building Management Government 115

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 Weekly

FEBRUARY 9, 2025

link] Meta: Data logs - The latest evolution in Meta’s access tools Meta writes about its access tool's system design, which helps export individual users’ access logs.

Data Engineering 58

Data Engineering Data Engineer Engineering Unstructured Data 58

Snowflake

MARCH 30, 2023

Schema drift on a wide table structure needs an ALTER TABLE statement, whereas the tall table structure does not. Raw vault does not dictate how those business process outcomes were calculated at the source system, nor does business vault dictate how the soft rules were calculated based on raw data. Enter Snowpark !

Engineering 105

Engineering Raw Data Data Science Machine Learning 105

Snowflake

MARCH 14, 2024

Along with SNP Glue, the Snowflake Native App gives customers a simple, flexible and cost-effective solution to get data out of SAP and into Snowflake quickly and accurately. What’s the challenge with unlocking SAP data? Getting direct access to SAP data is critical because it holds such a breadth of ERP information.

IT 121

IT Data Ingestion Data AWS 121

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. In an ETL-based architecture, data is first extracted from source systems, then transformed into a structured format, and finally loaded into data stores, typically data warehouses.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

JUNE 4, 2024

Studio is accessible within Snowsight to access interactive interfaces for teams to quickly combine multiple models with their data and compare results to accelerate deployment to applications in production. For details on pricing and what models are supported, check out more details in our documentation.

Data Security 121

Data Security Machine Learning Unstructured Data SQL 121

Cloudera

JUNE 11, 2024

Structured and Unstructured Data: A Treasure Trove of Insights Enterprise data encompasses a wide array of types, falling mainly into two categories: structured and unstructured. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Unstructured Data 93

Unstructured Data Pharmaceutical Banking Manufacturing 93

Snowflake

MARCH 18, 2024

A big gap between aspiration and reality In this data-rich world, organizations understand that their ability to compete from now on will rest on the availability, veracity and accessibility of the data they need. Prioritizing data security and governance How can companies do all this — move fast and stay safe at the same time?

Unstructured Data 111

Unstructured Data Government Cloud Data Pipeline 111

Snowflake

SEPTEMBER 19, 2023

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics.

Machine Learning 121

Machine Learning Unstructured Data Data Analytics Government 121

Edureka

APRIL 14, 2025

Broad data connectivity : Seamless integration with numerous data sources enables streamlined access and analysis across systems. Interactive exploration : Users can build dashboards that support real-time interaction and deep data exploration. Conversely, the reporting tool shines in front-end customization.

BI 40

BI Business Intelligence Raw Data Retail 40

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. Toolsets and strategies have had to shift to ensure controlled access to data. It established a data governance framework within its enterprise data lake.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 124

Architecture Metadata Kafka Government 124

Towards Data Science

MAY 14, 2024

Typically, as shown in the image above, Dataform takes raw data, transform it with all the engineering best practices and output a properly structured data ready for consumption. In Part 2, I would provide a walkthrough of the Terraform setup showing how to implement the least access control when provisioning Dataform.

Data Pipeline 97

Data Pipeline Coding Raw Data Accessibility 97

ThoughtSpot

MARCH 5, 2024

Create Snowflake dynamic tables In Snowflake, create dynamic tables by writing SQL queries that define how data should be transformed and materialized. Grant ThoughtSpot access In Snowflake, grant the ThoughtSpot service account USAGE privileges on the schemas containing the dynamic tables. Set refresh schedules as needed.

BI 111

BI Datasets SQL Raw Data 111

Cloudera

JUNE 3, 2022

When it comes to the early stages in the data science process, data scientists often find themselves jumping between a wide range of tooling. First of all, there’s the question of what data is currently available within their organization, where it is, and how it can be accessed. Next Steps.

Data Analysis 92

Data Analysis PostgreSQL Data Science Machine Learning 92

Cloudera

MAY 14, 2024

One element that is essential to achieving ‘true’ hybrid is open data lakehouses , capable of managing those vast swaths of unstructured or semi-structured data and making it available in the right environments for analysis or AI models.

Cloud 99

Cloud Data Governance Unstructured Data Data Architecture 99

Data Engineering Podcast

FEBRUARY 3, 2019

So I decided to focus my energies in research data management. Open Context is an open access data publishing service for archaeology. It started because we need better ways of dissminating structured data and digital media than is possible with conventional articles, books and reports.

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Cloudera

JULY 26, 2021

In fact, data product development introduces an additional requirement that wasn’t as relevant in the past as it is today: That of scalability in permissioning and authorization given the number and multitude of different roles of data constituents, both internal and external accessing a data product.

Generalist 119

Generalist Telecommunication Healthcare Data Science 119

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes.

Systems 80

Systems Building Management Data Lake 80

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Unstructured Data Data Architecture Government 112

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

Cloudera

APRIL 1, 2024

The following are key attributes of our platform that set Cloudera apart: Unlock the Value of Data While Accelerating Analytics and AI The data lakehouse revolutionizes the ability to unlock the power of data. Adopt Data Mesh to Power the New Wave of AI Data is evolving from a valuable asset to being treated as a product.

Cloud 105

Cloud Unstructured Data Metadata Government 105

Towards Data Science

MAY 11, 2023

On the other hand, in the DOP version, to test calculate_name() code, we can create data to be passed into the function in isolation. In Python, data held by a class can still be accessed by any piece of code that has a reference to the object. to control who can access/change data in Python.

Programming 98

Programming Python Data Schemas Java 98

U-Next

MARCH 1, 2023

They are also responsible for ensuring that the data is clean and organized, as well as making sure that it’s easily accessible to other departments within the company. They often work closely with database administrators to ensure they have access to all of the tools and resources needed to meet their goals.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Snowflake

AUGUST 25, 2023

Our Code Llama fine-tuned (7b, 34b) for text-to-SQL outperforms base Code Llama (7b, 34b) by 16 and 9 percent-accuracy points respectively Evaluating performance of SQL-generation models Performance of our text-to-SQL models is reported against the “dev” subset of the Spider data set.

Coding 98

Coding SQL Database Data Cleanse 98

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. According to a database model, the organization of data is known as database design. While using Amazon SageMaker datasets are quick to access and load. You can find the image dataset, time-series dataset, reviews, etc.

Data Science 98

Data Science Datasets Machine Learning Database Design 98

Confluent

OCTOBER 3, 2019

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract , which turns article and product pages into structured data. At Scrapinghub, we specialize in web data extraction , and our products empower everyone from programmers to CEOs to extract web data quickly and effectively.

Kafka 16

Kafka Cloud Amazon Web Services Google Cloud 16

Cloudera

SEPTEMBER 29, 2021

Among governments’ priorities are encouraging digital adoption, facilitating access and usage of relevant government services alongside enabling more digital transactions. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Medical 83

Medical Government Hospitality Electronics 83

Monte Carlo

JUNE 6, 2023

Now, let’s take a closer look at the strengths and weaknesses of the most popular data quality team structures. Data engineering Having the data engineering team lead the response to data quality is by far the most common pattern. It is deployed by about half of all organizations that use a modern data stack.

Data Governance 98

Data Governance Government Data Data Engineering 98