The Modern Data Company

MAY 10, 2023

In this case, alternatives such as data lakes or data lakehouses would be better. Date Lakehouse Choose a data lakehouse if your organization: Requires a unified platform to handle diverse analytics workloads and support structured and unstructured data. Request a demo today and see it in action.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

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. S3 has seamless integration with the AWS ecosystem including AWS Glue for data cataloging, Amazon Athena for ad-hoc querying, and Amazon Redshift for data warehousing.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Snowflake

JUNE 28, 2023

To make it even easier to process data with Snowpark Python UDFs and Stored Procedures, we have added support for Python 3.9 and unstructured data support, now in public preview. Integrating with APIs and endpoints in a secure way is now possible with external network access, now in private preview.

Pipeline-centric 57

Pipeline-centric Programming Language Python Government 57

ProjectPro

JANUARY 28, 2022

This is especially useful in unstructured data like images where anomalies could be any type of image other than the one trained on the model. More anomaly datasets can be accessed here: Outlier Detection DataSets (ODDS). We can use these to get the remaining indices that correspond to the outliers found in the fitted data.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

MARCH 17, 2021

Deep learning models usually perform Classification tasks directly from sound, text, or images (unstructured data). Get FREE Access to Machine Learning and Data Science Example Codes Deep Learning vs Machine Learning – Which one to choose based on data?

Deep Learning 52

Deep Learning Machine Learning Algorithm Datasets 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. See demo here.

Unstructured Data 106

Unstructured Data SQL Python Accessible 106

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights. ”- says Rishi Tirumala, Software Engineer at Paxata Paxata is always on the quest to hire top-tier big data talent.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

Snowflake

SEPTEMBER 21, 2023

Leaders across the Modern Marketing Data Stack are responding to these challenges and differentiating their products by giving brands more access to and control of data. The data driving the provider’s application is stored and processed in the provider’s own Snowflake account.

Google Cloud 85

Google Cloud Unstructured Data Technology Data 85

ProjectPro

MAY 5, 2015

=Shailesh Kurdekar Solutions Architect at Capital One Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization "Recently I became interested in Hadoop as I think its a great platform for storing and analyzing large structured and unstructured data sets.

Big Data 40

Big Data Project Hadoop Java 40

Monte Carlo

JUNE 27, 2023

From this point forward it became the Christian Kleinerman show (and no complaints here), as the Snowflake senior vice president of product took us from compelling demo to compelling demo. Christian Kleinerman took Snowflake Summit attendees on a thrilling ride from one exciting demo to the next.

Data Lake 59

Data Lake Government SQL Unstructured Data 59

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Data Lake Management Data Governance 52

The Modern Data Company

MAY 8, 2023

One of the most interesting features of a data lake is the “schema-on-read” principle, which means the data schema (the structure and organization of the data) is applied when the data is read or accessed rather than stored. See it in action and schedule a demo with one of our data experts today.

Data Management 52

Data Management Data Lake Management Data Governance 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. A win/win for both parties.

Pipeline-centric 75

Pipeline-centric Unstructured Data Government Data 75

Monte Carlo

JANUARY 23, 2024

Gen AI can whip up serviceable code in moments — making it much faster to build and test data pipelines. Today’s LLMs can already process enormous amounts of unstructured data, automating much of the monotonous work of data science. But what does that mean for the roles of data engineers and data scientists going forward?

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Diversity of workloads. Ranger policies.

Systems 87

Systems Hadoop Metadata Telecommunication 87

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. ” Once detected, the system can extract and input this data into the company’s management software for easier access and organization. NLP API demo. Why use it?

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Cloudera

SEPTEMBER 6, 2018

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. The foundation of this end-to-end AML solution is Cloudera Enterprise.

Banking 40

Banking Machine Learning Big Data Scala 40

ProjectPro

AUGUST 1, 2016

Commvault, a bridge between product systems and data aims to provide data protection environment on Hadoop. Commvault provides analytics needed to access data on a large group of servers running hadoop jobs with each server having its own stored part of the overall dataset. July 15, 2016.theregister.co.uk theregister.co.uk

Hadoop 40

Hadoop Consulting Big Data Unstructured Data 40

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. Snowflake is democratizing access to data and intelligence with AI and large language models (LLMs).

Entertainment 58

Entertainment Retail Manufacturing Media 58

The Modern Data Company

JUNE 26, 2023

DataOS is an innovative data operating system that can help companies overcome some of the unexpected challenges associated with using customer data to maximize retail loyalty. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

DataOS is an innovative data operating system that can help companies overcome some of the unexpected challenges associated with using customer data to maximize retail loyalty. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52

Retail Government Data Governance Unstructured Data 52

The Modern Data Company

JUNE 26, 2023

DataOS is an innovative data operating system that can help companies overcome some of the unexpected challenges associated with using customer data to maximize retail loyalty. It enables users to define clear policies for data usage and authorized access and to meet regulatory compliance requirements such as GDPR.

Retail 52

Retail Government Data Governance Unstructured Data 52

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.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

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.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

AltexSoft

MARCH 30, 2023

This way, Delta Lake brings warehouse features to cloud object storage — an architecture for handling large amounts of unstructured data in the cloud. Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing.

Scala 64

Scala Data Lake BI Google Cloud 64