Towards Data Science

FEBRUARY 9, 2024

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed?

Building 79

Building Transportation Data Lake Metadata 79

Snowflake

NOVEMBER 22, 2023

Piyush Shandilya, Data Architect at CityFibre explains how the company uses Snowflake to process and analyze large, integrated data sets at speed, powering future growth and delivering next-gen connectivity. But when it comes to data, the company found that rapid growth can quickly outstrip data infrastructure capabilities.

IT 70

IT Data Architect Unstructured Data Programming Language 70

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 104

Cloud Unstructured Data Metadata Datasets 104

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem.

IT 100

IT Metadata MongoDB MySQL 100

Monte Carlo

JULY 19, 2023

Building a data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack.

Building 96

Building Business Intelligence Cloud Storage BI 96

Snowflake

MARCH 18, 2024

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

Unstructured Data 87

Unstructured Data Government Data Pipeline Cloud 87

Snowflake

APRIL 8, 2024

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. It deploys gen AI components as containers on Snowpark Container Services, close to the customer’s data. SignalFlare.ai

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Pipeline-centric Food Healthcare Unstructured Data 126

Monte Carlo

AUGUST 9, 2023

Here are some current and likely ways generative AI is contributing value to organizations and data teams both today and in the near future. #1- 1- Increasing data accessibility The lowest hanging fruit for generative AI within the world of data? You have it in the BI layer, you have it in data exploration tools.

IT 52

IT Unstructured Data SQL BI 52

Snowflake

JUNE 28, 2023

Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake. General platform updates Multiple Python Version 3.9 & 3.10

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Python Accessible Accessibility Pipeline-centric 52

Snowflake

NOVEMBER 1, 2023

For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI. With just a single line of SQL or Python, analysts can instantly access specialized ML and LLM models tuned for specific tasks. These functions include the ones listed below.

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Unstructured Data SQL Python Accessible 106

Cloudera

MAY 14, 2024

But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Data comes in many forms.

Cloud 96

Cloud Data Governance Unstructured Data Data Architecture 96

Towards Data Science

JULY 21, 2023

Spinning up a data platform doesn’t have to be complicated. Here are the 5 must-have layers to drive data product adoption at scale. Like bean dip and ogres , layers are the building blocks of the modern data stack. Before you can model the data for your stakeholders, you need a place to collect and store it.

Building 79

Building Business Intelligence BI Cloud Storage 79

Rockset

MARCH 28, 2024

Overview In this guide, you will: Gain a high-level understanding of vectors, embeddings, vector search, and vector databases, which will clarify the concepts we will build upon. Build a dynamic web application using vanilla CSS, HTML, JavaScript, and Flask, seamlessly integrating with the Rockset API and the OpenAI API.

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Systems Building Database Utilities 52

Monte Carlo

AUGUST 19, 2023

By integrating tools from a variety of vendors, a data platform enables a data engineering team to not only manage an organization’s data but also activate it for a domain’s use cases. In today’s data-driven landscape, building a data platform is no longer a nice-to-have, but a necessity for most organizations.

Building 52

Building BI Data Lake Data Governance 52

DareData

JULY 5, 2023

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. And what is the reason for that?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Rockset

APRIL 18, 2023

Join me and Rockset VP of Engineering Louis Brandy for a tech talk, From Spam Fighting at Facebook to Vector Search at Rockset: How to Build Real-Time Machine Learning at Scale , on May 17th at 9am PT/ 12pm ET. Due to these difficulties, unstructured data has remained largely underutilized. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Knowledge Hut

SEPTEMBER 22, 2023

A range of Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, are used by Azure Data Engineers to create and build data solutions that are appropriate for their organisation. Is Azure Data Engineer Certification Worth It?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. What is a data lake? Who needs a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

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?

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Machine Learning Unstructured Data Data Analytics Government 95

Monte Carlo

JANUARY 27, 2024

Building a modern data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack.

Building 52

Building Business Intelligence Cloud Storage BI 52

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 84

Healthcare Unstructured Data High Quality Data Medical 84

Snowflake

MARCH 7, 2024

How do Gen AI/LLMs “democratize” access to insights? Compared to traditional AI models, generative AI/LLMs provide a significant uplift in tackling the wealth of unstructured data that make up things such as loan agreements, claims agreements, underwriting documents and the like. Democratization also carries risk, though.

Unstructured Data 83

Unstructured Data Government Data Architecture Architecture 83

Snowflake

JANUARY 8, 2024

As an industry built on data, financial services has always been an early adopter of AI technologies. While the possibilities of gen AI and large language models (LLMs) are limitless, there are several data challenges and risks financial executives need to be aware of when implementing AI that generates original content.

Unstructured Data 83

Unstructured Data Government Portfolio Insurance 83

Knowledge Hut

NOVEMBER 16, 2023

The increased accessibility of online professional courses and authentic study resources has contributed significantly to bringing up the number of skilled workforces. Their main responsibilities include processing data, identifying valuable data sources, combining models, integrating data, etc. billion on IT in 2022.

IT 52

IT Software Engineer Software Engineering Cloud Computing 52

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). It’s already having a real-world impact. “It’s

Unstructured Data 94

Unstructured Data Manufacturing Retail Data Warehouse 94

Snowflake

OCTOBER 11, 2023

The growing role of data science in the modern business Today’s businesses are facing an unprecedented expansion of unstructured data that can permeate every department in an organization. The hurdle startups now face, however, isn’t how to stop the economic storm—it’s how to navigate it.

Unstructured Data 103

Unstructured Data Cloud Data Science Finance 103

Knowledge Hut

JUNE 23, 2023

Real-time analytics analyses the input using machine learning algorithms and other automated technologies to convert an incoming data stream into usable information. Going for certifications in Data Engineer will help you manage the data generated to meet business goals. Who Uses Real-time Data Analytics?

Data Analytics 52

Data Analytics IT Transportation Analytics Architecture 52

Monte Carlo

NOVEMBER 9, 2023

And in many ways, LLMs are going to make data engineers more valuable – and that’s exciting! 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.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Knowledge Hut

APRIL 23, 2024

In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

AltexSoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. What is ELT? Scalability. Flexibility.

Process 52

Process Building Raw Data Data Lake 52

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 62

Education Unstructured Data Data Lake Data Warehouse 62

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics. Let’s talk about it.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Data Engineering Weekly

APRIL 7, 2024

Poor data quality and unlcear data ownership remains the top challenges for the data teams. Data Mesh continuously gaining popularity among the enterprises. It is a stark difference from the Gartner report about data mesh. I guess only the time will tell who wins in the data mesh vs data fabric war.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Snowflake

JANUARY 18, 2024

A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible. And in many ERP consolidations, historical data from the legacy system is lost, making it challenging to do predictive analytics. Built-in automation eliminates the need for customers to build indexes or do housekeeping.

Manufacturing 87

Manufacturing Unstructured Data Cloud Architecture 87

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 118

Amazon Web Services AWS Government Python 118

Snowflake

NOVEMBER 2, 2023

These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh. Instead, we strive to help customers by providing a platform to build architectures based on what works in their organization, even if that changes over time.

Data Lake 91

Data Lake Data Warehouse Cloud Unstructured Data 91

Knowledge Hut

MAY 23, 2024

Data science has become the fastest-growing field and a buzzword that every industry knows and leverages. This vast stream of interdisciplinary domains deals with data in different ways. It helps companies understand data and obtain meaningful insights from it. Multipurpose Data science Tools 4. via Google Analytics.

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Data Science MongoDB Programming Language Unstructured Data 52