IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. models are trained on IBM’s curated, enterprise-focused data lake, on our custom-designed cloud-native AI supercomputer, Vela. All watsonx.ai

Enterprise 136

Enterprise Technology Modeling Cost-Benefit 136

Smart Data Collective

FEBRUARY 20, 2022

Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Management of data. Artificial intelligence (AI). Messages and notification. Easy to use. Thank you for taking the time to read this blog post.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively. The EMR runtime provides up to 5.37

Optimization 71

Optimization Data Lake Cost-Benefit Management 71

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

IBM Big Data Hub

FEBRUARY 2, 2023

Misconception 3: All data warehouse migrations are the same, irrespective of vendors While migrating to the cloud, CTOs often feel the need to revamp and “modernize” their entire technology stack – including moving to a new cloud data warehouse vendor.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

NOVEMBER 12, 2020

Burst to Cloud not only relieves pressure on your data center, but it also protects your VIP applications and users by giving them optimal performance without breaking your bank. Today, it is nearly impossible for IT departments to know if a particular workload is optimal to move from on-premises to the cloud.

Data Warehouse 103

Data Warehouse Reporting Risk Cost-Benefit 103

AWS Big Data

OCTOBER 17, 2023

Tens of thousands of customers use Amazon Redshift to gain business insights from their data. With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. After you install the data extraction agent, register it in AWS SCT.

Data Warehouse 88

Data Warehouse Data Processing Data Lake Management 88

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 81

Data Lake Data Analytics Analytics Data Processing 81

AWS Big Data

NOVEMBER 8, 2023

This data volume is expected to increase monthly and is fully refreshed each month. The 3-node RA3 16XL provisioned cluster that had previously been hosting their warehouse was taking around 12 hours to ingest this data to Amazon Redshift , and Gilead was looking to optimize the data ingestion process in a more dynamic manner.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

Cloudera

JANUARY 21, 2021

Cloudera’s Data Warehouse service allows raw data to be stored in the cloud storage of your choice (S3, ADLSg2). It will be stored in your own namespace, and not force you to move data into someone else’s proprietary file formats or hosted storage. Proprietary file formats mean no one else is invited in! Separate compute.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

AWS Big Data

MARCH 20, 2023

The AWS Data Lab offers accelerated, joint engineering engagements between customers and AWS technical resources to create tangible deliverables that accelerate data and analytics modernization initiatives. The data from the S3 data lake is used for batch processing and analytics through Amazon EMR and Amazon Redshift.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Cloudera

DECEMBER 2, 2021

The CDW service helps you: become more agile when providing analytics capabilities to the business – via fast compute provisioning and Shared Data Experience. get better insights faster – via running all parts of the data lifecycle in one platform. Network Security. Additional Aspects of a Private CDW Environment on Azure.

Data Lake 122

Data Lake Data Warehouse Data Processing Interactive 122

AWS Big Data

OCTOBER 23, 2023

Modern applications store massive amounts of data on Amazon Simple Storage Service (Amazon S3) data lakes, providing cost-effective and highly durable storage, and allowing you to run analytics and machine learning (ML) from your data lake to generate insights on your data.

Data Lake 105

Data Lake Visualization Optimization Interactive 105

Cloudera

DECEMBER 13, 2022

The attack targeted a host of public and private sector organizations (18,000 customers) including NASA, the Justice Department, and Homeland Security, and it is believed the attackers persisted on SolarWinds systems for 14 months prior to discovery.

Machine Learning 77

Machine Learning Experimentation Data Lake Data Processing 77

AWS Big Data

JUNE 7, 2023

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. The source code for the application is hosted the AWS Glue GitHub.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 84

Data Lake Dashboards Metrics Metadata 84

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. This could be your data lake or application S3 bucket.

Reporting 88

Reporting Data Lake Management Optimization 88

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 69

Machine Learning Data Warehouse Modeling Cost-Benefit 69

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. Let’s find out what role each of these components play in the context of C360.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

AWS Big Data

JANUARY 22, 2024

Users can also raise requests to producers to improve the way the data is presented or to enrich the data with new data points for generating a higher business value. At the same time, each team can also map other catalogs to their own account and use their own data, which they produce along with the data from other accounts.

Data-driven 88

Data-driven Advertising Metadata Data Architecture 88

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . There are three major architectures under the modern data architecture umbrella. . Optimization Data lakehouse is the platform wherein the data assets reside.

Data Architecture 83

Data Architecture Cost-Benefit Digital Transformation Business Driver 83

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have been powered by data science since its foundation and rely on many modern data lake and data processing technologies. In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing.

Management 105

Management Metrics Cost-Benefit Data Lake 105

AWS Big Data

JUNE 19, 2023

Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account. With Security Lake, you can get a more complete understanding of your security data across your entire organization.

Publishing 87

Publishing Dashboards Visualization Management 87

Cloudera

AUGUST 21, 2020

There are now tens of thousands of instances of these Big Data platforms running in production around the world today, and the number is increasing every year. Many of them are increasingly deployed outside of traditional data centers in hosted, “cloud” environments. Streaming data analytics. . There it is.

Cost-Benefit 74

Cost-Benefit Big Data ROI Risk 74

AWS Big Data

AUGUST 28, 2023

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions. Optionally, specify the Amazon S3 storage class for the data in Amazon Security Lake.

Dashboards 52

Dashboards Visualization Metadata Management 52

Sisense

DECEMBER 11, 2019

This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

NOVEMBER 8, 2023

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. High-quality data is not just about accuracy; it’s also about timeliness.

Data-driven 90

Data-driven Data Lake Machine Learning Cost-Benefit 90

CIO Business Intelligence

DECEMBER 6, 2023

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. Having that data in the cloud and piping it into our data pipelines is a much more effective way to do that.”

Manufacturing 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

bridgei2i

MARCH 3, 2021

Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Unlocking the Value of Enterprise AI with Data Engineering Capabilities. They discuss how the data engineering team is instrumental in easing collaboration between analysts, data scientists and ML engineers to build enterprise AI solutions.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 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”.

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123