Snowflake

APRIL 8, 2024

Many entries also used Snowpark , taking advantage of the ability to work in the code they prefer to develop data pipelines, ML models and apps, then execute in Snowflake. The Innova-Q dashboard provides access to product safety and quality performance data, historical risk data, and analysis results for proactive risk management.

Pipeline-centric 129

Pipeline-centric Food Healthcare Unstructured Data 129

Data Engineering Weekly

JUNE 24, 2024

A few highlights from the report Unstructured data goes mainstream. AI-driven code development is going mainstream now. link] Sponsored: 2024 State of Apache Airflow Report Gain access to the latest trends and insights shaping the world of Apache Airflow—the go-to platform for data pipeline development and orchestration.

Data Engineer 111

Data Engineer Data Engineering Engineering Google Cloud 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. Some takeaways?

Machine Learning 101

Machine Learning Unstructured Data Data Analytics Government 101

Snowflake

JULY 10, 2023

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. Previously, working with these large and complex files would require a unique set of tools, creating data silos.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! HUE’s table browser, with built-in data sampling. That’s it. . Efficient Query Design. Optimization as you go.

SQL 116

SQL Unstructured Data Hadoop Data Lake 116

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 89

Healthcare Unstructured Data High Quality Data Medical 89

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Consulting 124

Consulting Machine Learning Data Science Data Pipeline 124

Cloudera

JUNE 9, 2022

In this second installment of the Universal Data Distribution blog series, we will discuss a few different data distribution use cases and deep dive into one of them. . With support for more than 400 processors, CDF-PC makes it easy to collect and transform the data into the format that your lakehouse of choice requires.

Data Collection 100

Data Collection Data Lake Unstructured Data Retail 100

Team Data Science

FEBRUARY 23, 2021

For instance, it occurs when a restaurant creates a digital version of a printed menu, so customers can scan a QR code and access it via a browser [ , 6 ]. They constitute the major vehicles in which customer digital footprints [ , 12 ] are collected in the form of structured and unstructured data [ , 13 ].

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Edureka

JUNE 7, 2024

Industry Applications of Predictive AI While both involve machine learning and data analysis, they differ in their core objectives and approaches. paintings, songs, code) Historical data relevant to the prediction task (e.g., paintings, songs, code) Historical data relevant to the prediction task (e.g.,

Deep Learning 114

Deep Learning Media Manufacturing Algorithm 114

Snowflake

JUNE 28, 2023

At this year’s Summit, we are excited to announce a series of advancements to Snowpark runtimes and libraries, making the deployment and processing of non-SQL code in Snowflake even simpler, faster, and more secure. Snowpark — Set of libraries and runtimes for secure deployment and processing of non-SQL code on the Snowflake Data Cloud.

Python 52

Python Accessibility Accessible Pipeline-centric 52

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. When Glue receives a trigger, it collects the data, transforms it using code that Glue generates automatically, and then loads it into Amazon S3 or Amazon Redshift.

AWS 98

AWS Metadata Scala Data Lake 98

Knowledge Hut

NOVEMBER 2, 2023

Deploying a Static Website on Amazon S3 Difficulty Level: Beginner Source Code: Deploying a Static Website Deploying a static website with Amazon Simple Storage Service (Amazon S3) is a straightforward yet instructive AWS cloud practitioner project.

AWS 52

AWS Coding Cloud Project 52

Monte Carlo

NOVEMBER 9, 2023

In my opinion, enterprise ready generative AI must be: Secure & private: Your AI application must ensure that your data is secure, private, and compliant, with proper access controls. We *know* what we’re putting in (raw, often unstructured data) and we *know* what we’re getting out, but we don’t know how it got there.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Towards Data Science

APRIL 6, 2023

How to know if you need data observability Data observability is increasingly necessary, especially as traditional approaches to software monitoring fall short for high-volume, high-variety data. When it comes to detecting anomalies in unstructured data (e.g., What does each column represent?

Unstructured Data 76

Unstructured Data Metadata Data Coding 76

ProjectPro

NOVEMBER 17, 2021

Table of Contents Top Sentiment Analysis Project Ideas With Source Code Using Machine Learning What is Sentiment Analysis? Access the Sentiment Analysis Project on Product Reviews with Source Code Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization 2.

Coding 52

Coding Project Entertainment Datasets 52

Data Engineering Podcast

JULY 31, 2022

With Bigeye’s data observability platform, if there is an issue with your data or data pipelines you’ll know right away and can get it fixed before the business is impacted. Bigeye let’s data teams measure, improve, and communicate the quality of your data to company stakeholders.

IT 100

IT Metadata MongoDB MySQL 100

Cloudera

DECEMBER 19, 2023

Limit access and capabilities initially. Ensure you can trust your data by using only diverse, high-quality training data that represents different demographics and viewpoints. Academic institutions can leverage AI tools to track student performance and deliver personalized interventions to improve student outcomes.

Government 96

Government Education Unstructured Data Algorithm 96

U-Next

MARCH 12, 2023

As long as a device is equipped with the internet, it can access the data and software programs required to run them. A web data center server’s hardware and operating system are called a “cloud platform.” Customers with an Azure subscription get access to all the services offered through the Azure site.

Cloud Computing 75

Cloud Computing Unstructured Data Cloud Government 75

Cloudera

APRIL 20, 2021

In today’s demand for more business and customer intelligence, companies collect more varieties of data — clickstream logs, geospatial data, social media messages, telemetry, and other mostly unstructured data. Yet, the information will always delay if they leverage an analytics system built for the past.

Kafka 100

Kafka Hospitality Retail Data Ingestion 100

Knowledge Hut

MAY 31, 2023

Whether you are a beginner or an experienced programmer, these top database projects with source codes can help you improve your skills and add value to your portfolio. If you want to learn more about Inventory Control Management, you can check the source code for the project. So, Let's get started!

Database 52

Database Coding MongoDB Project 52

Snowflake

JUNE 28, 2023

To make it even easier and secure for customers to take advantage of leading LLMs, Snowpark Container Services can be used as part of a Snowflake Native App , so customers will be able to get direct access to leading LLMs via the Snowflake Marketplace and installed to run entirely in their Snowflake accounts. See it in action here.

Pipeline-centric 77

Pipeline-centric Unstructured Data Data Government 77

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. Spotify shares some of the critical triggers in an organization that leads to build data platform.

Data Engineer 72

Data Engineer Data Engineering Engineering Unstructured Data 72

Snowflake

SEPTEMBER 26, 2024

Most companies know they need better data to make that happen, but they struggle with making it available, trusted and accessible — not to mention handling complex data, like images, videos and unstructured data. It’s why leading retailers recognize there’s no AI without a strong data foundation in the cloud.

Retail 81

Retail Cloud Unstructured Data Deep Learning 81

Knowledge Hut

JANUARY 18, 2024

Roles and Responsibilities Finding data sources and automating the data collection process Discovering patterns and trends by analyzing information Performing data pre-processing on both structured and unstructured data Creating predictive models and machine-learning algorithms Average Salary: USD 81,361 (1-3 years) / INR 10,00,000 per annum 3.

Data Science 98

Data Science Business Analyst Data Architect ETL Method 98

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

Knowledge Hut

DECEMBER 22, 2023

Statistics are used by data scientists to collect, assess, analyze, and derive conclusions from data, as well as to apply quantifiable mathematical models to relevant variables. Microsoft Excel An effective Excel spreadsheet will arrange unstructured data into a legible format, making it simpler to glean insights that can be used.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

AUGUST 24, 2021

. :) But before you start data engineering project ideas list, read the next section to know what your checklist for prepping for data engineering role should look like and why. Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Confluent

MARCH 4, 2019

Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. We need something that can handle large amounts of data, something that can handle unstructured data coming from logs and social media, and data in their native form. CTO of CloudBank.

Cloud 89

Cloud Banking Kafka NoSQL 89

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. Computer Science Data science and coding go hand in hand.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Data Engineering Podcast

NOVEMBER 27, 2022

Summary The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. images, documents, etc.) images, documents, etc.)

Data Process 100

Data Process Process Metadata Business Intelligence 100

Snowflake

JUNE 13, 2024

Bringing in batch and streaming data efficiently and cost-effectively Ingest and transform batch or streaming data in <10 seconds: Use COPY for batch ingestion, Snowpipe to auto-ingest files, or bring in row-set data with single-digit latency using Snowpipe Streaming. You can learn more about data ingestion here.

Data Ingestion 94

Data Ingestion MySQL PostgreSQL Data Pipeline 94

Workfall

MARCH 21, 2023

It is highly available, scalable, and distributed, and it supports: SQL querying from client devices GraphQL ACID transactions WebSocket connections Both structured and unstructured data Graph querying Full-text indexing Geospatial querying Row permission-based access SurrealQL is an out-of-the-box SQL-style query language included with SurrealDB.

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

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

Snowflake

MARCH 30, 2023

For this reason, a new data management for ML framework has emerged to help manage this complexity: the “feature store.” Feature store As described in Tecton’s blog , a feature store is a data management system for managing ML feature pipelines, including the management of feature engineering code and data.

Engineering 88

Engineering Raw Data Data Science Machine Learning 88

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Striim

SEPTEMBER 11, 2024

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Data warehouses offer high performance and scalability, enabling organizations to manage large volumes of structured data efficiently.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98