Snowflake

MAY 9, 2024

From its start with efficient batch processing with data warehouses for descriptive analytics, and the inclusion of streaming data in real time to build recommendations, we find ourselves at the forefront of a new stage of evolution: generative AI (gen AI). Watch the full Data Cloud Now interview to learn more.

Unstructured Data 92

Unstructured Data Manufacturing Retail Data Warehouse 92

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

Monte Carlo

NOVEMBER 9, 2023

Still, it’s one thing to show your boss a cool demo of a data discovery tool or text-to-SQL generator – it’s another thing to use it with your company’s proprietary data, or even more concerning, customer data. All of these currently exist in databases and data warehouses. Think: SecOps for AI.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Cloudera

MARCH 17, 2023

I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics. ChatGPT is an excellent resource for gaining high-level insights and building awareness of any technology.

Education 61

Education Unstructured Data Data Lake Data Warehouse 61

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. EvalPlus builds a leadership board to demonstrate the efficiency of leading AI coder models.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Snowflake

SEPTEMBER 7, 2023

Snowpark is the set of libraries and runtimes that enables data engineers, data scientists and developers to build data engineering pipelines, ML workflows, and data applications in Python, Java, and Scala. With this announcement, External Access is in public preview on Amazon Web Services (AWS) regions.

Amazon Web Services 116

Amazon Web Services AWS Government Python 116

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Data lakehouse architecture combines the benefits of data warehouses and data lakes, bringing together the structure and performance of a data warehouse with the flexibility of a data lake. The data lakehouse’s semantic layer also helps to simplify and open data access in an organization.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

DECEMBER 26, 2023

In the twenty-first century, data science is regarded as a profitable career. It is simply the study of mathematics, statistics, and computer science to extract information from structured and unstructured data. Data science, which solves problems by connecting relevant data for later use, aids these emerging technologies.

Data Science 52

Data Science Unstructured Data Medical Healthcare 52

Precisely

MAY 13, 2024

If you’re in the market for a data integration solution, there are many things to consider – including the flexibility of integration solutions, the availability of a strong network of service providers, and the vendor’s reputation for thought leadership in the integration space. A notable capability that achieves this is the data catalog.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Cloudyard

APRIL 7, 2023

These functions are used to generate the URL and grant the access based on their authorizations. When users send a file URL to the REST API to access files, Snowflake performs the following actions: Authenticate the user. Only roles that have privileges on the view can access the files. That is, the file URL does not expire.

Unstructured Data 52

Unstructured Data Cloud Storage AWS Accessible 52

Cloudera

DECEMBER 19, 2023

Also, while agencies view embracing AI as a strategic imperative that will enable them to accelerate the mission, they also face the challenge of finding readily available talent and resources to build AI solutions. Limit access and capabilities initially. Build public trust through education on AI. Improve dataset quality.

Government 86

Government Education Unstructured Data Datasets 86

Towards Data Science

APRIL 6, 2023

Principles, practices, and examples for ensuring high quality data flows Source: DreamStudio (generated by author) Nearly 100% of companies today rely on data to power business opportunities and 76% use data as an integral part of forming a business strategy. When it comes to detecting anomalies in unstructured data (e.g.,

Unstructured Data 82

Unstructured Data Metadata Data Coding 82

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

Knowledge Hut

DECEMBER 22, 2023

Power BI Desktop Power BI Desktop is free software that can be downloaded and installed to build reports by accessing data easily without the need for advanced report designing or query skills to build a report. Features of Power BI 1. to create interactive visualizations.

BI 98

BI Business Intelligence Machine Learning SQL 98

Knowledge Hut

APRIL 26, 2024

Datasets are often related to a particular type of problem and machine learning models can be built to solve those problems by learning from the data. Many datasets are available online for learners who are starting off on building machine learning models. It can lead to low-cost affordable care that everyone can access.

Datasets 98

Datasets Machine Learning Deep Learning Finance 98

Data Engineering Weekly

MARCH 3, 2024

Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you? Part 1: Why did we need to build our own SIEM?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Data Engineering Podcast

JULY 31, 2022

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Can you describe how Manta is implemented?

IT 100

IT Metadata MongoDB MySQL 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 70

Unstructured Data Banking Machine Learning Media 70

Knowledge Hut

JANUARY 18, 2024

Working in big data, Microsoft has launched projects like AI for Earth, which uses artificial intelligence to enhance environmental quality, and AI for Accessibility, which uses artificial intelligence to improve the accessibility of people with disability. You can search structured as well as unstructured data with Splunk.

Data Science 98

Data Science Amazon Web Services Finance Big Data 98

Knowledge Hut

APRIL 23, 2024

Big Data certification course will support you in learning big data skills from the greatest mentors to help you build a career in big data. Top 10 Disadvantages of Big Data 1. Need for Skilled Personnel We see data in different forms; it can be categorized into structured, semi-structured, and unstructured data.

Big Data 52

Big Data Media Government Big Data Skills 52

Cloudera

JUNE 7, 2022

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 108

IT Unstructured Data Data Architecture Government 108

U-Next

MARCH 1, 2023

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. It’s not just the data itself that is important, but also how that data can be used to make better decisions.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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 ]. It was mainly a "product first, customers second" mentality of building products and services. But of course, digitization still happens intensively nowadays.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Cloudera

JUNE 22, 2023

The top-line benefits of a hybrid data platform include: Cost efficiency. A hybrid data platform enables the preservation of existing investments in legacy applications and workloads without modifying them. If you build it yourself, will the value be there? Improved scalability and agility. Flexibility.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

Knowledge Hut

SEPTEMBER 26, 2023

A person who designs and implements data management , monitoring, security, and privacy utilizing the entire suite of Azure data services to meet an organization's business needs is known as an Azure Data Engineer. The main exam for the Azure data engineer path is DP 203 learning path.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. Customer Data Management Data science in finance enables companies to analyze customer purchase patterns and cater to preferences.

Finance 52

Finance Data Science Unstructured Data Algorithm 52

Data Engineering Podcast

SEPTEMBER 14, 2020

I’m working with O’Reilly on a project to collect the 97 things that every data engineer should know, and I need your help. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Process 100

Process Unstructured Data Metadata Data Engineering 100

Monte Carlo

FEBRUARY 21, 2023

In this post, we’ll discuss what, exactly, a data fabric is, how other companies have used it, and how you can build one at your company. Table of Contents What is a data fabric? That’s a model worth looking at when it comes to data governance,” says Bob.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

In this post, we’ll discuss what, exactly, a data fabric is, how other companies have used it, and how you can build one at your company. Table of Contents What is a data fabric? That’s a model worth looking at when it comes to data governance,” says Bob.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Cloudera

JANUARY 5, 2021

Once establishing deeper knowledge of the customer, we then discussed building ‘segments of one” through localized assortments, tailored promotions, dynamic pricing, and product development that is reflective of the true needs of the customer. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant.

Retail 90

Retail Unstructured Data Big Data Machine Learning 90

Precisely

MARCH 9, 2023

We will also address some of the key distinctions between platforms like Hadoop and Snowflake, which have emerged as valuable tools in the quest to process and analyze ever larger volumes of structured, semi-structured, and unstructured data. Read Many of the preferred platforms for analytics fall into one of these two categories.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

Monte Carlo

APRIL 24, 2023

Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access. It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

NOVEMBER 2, 2023

Building a Serverless API with AWS Lambda Difficulty Level: Intermediate Explore serverless architectures on AWS with simple projects such as creating an API with AWS Lambda. Professionals deploy databases, manage credentials and access, and integrate with other AWS services or applications.

AWS 52

AWS Coding Cloud Project 52

Data Engineering Weekly

JUNE 4, 2023

David Heinemeier Hansson: The luxury of working without metrics “The metrics you choose as a measure of success inherently shape the essence of the company you aspire to build” - A Data Practitioner. Do you need data/ metrics at all? Sometimes, the metrics you don’t also have the same impact.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Knowledge Hut

NOVEMBER 28, 2023

Hence, learning and developing the required data engineer skills set will ensure a better future and can even land you better salaries in good companies anywhere in the world. After all, data engineer skills are required to collect data, transform it appropriately, and make it accessible to data scientists.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

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. Using SQL queries, they design, code, test, and aggregate the results to generate insights.

Data Science 97

Data Science BI Business Intelligence Data Mining 97