IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

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

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 83

Data Lake Analytics Snapshot Optimization 83

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. It took an additional 1 hour to create.

Data Lake 72

Data Lake Data Warehouse Cost-Benefit Optimization 72

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 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. The world is awash in data. The benefits and challenges of ML operations.

Machine Learning 81

Machine Learning Experimentation Data Lake Data Processing 81

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 95

Data Lake Data Warehouse IT Analytics 95

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 55

Metadata Data Lake Machine Learning Big Data 55

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. In its first six months of operation, OVO UnCover has proven to be 7.9

Internet Publishing and Broadcasting 122

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 122

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

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 97

Data Lake Visualization Optimization Interactive 97

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 87

Data Architecture Cost-Benefit Digital Transformation Business Driver 87

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 83

Reporting Data Lake Management Optimization 83

AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

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 99

Management Metrics Cost-Benefit Data Lake 99

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

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. Periscope Data provides the ideal platform for data teams to establish an effective analytics environment in the type of emerging companies that are so prevalent in Israel.

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 85

Data-driven Data Lake Machine Learning Cost-Benefit 85

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

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 96

Data Warehouse Data Lake Optimization Data-driven 96

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 79

Finance Metadata Big Data Recreation/Entertainment 79

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads.

Data Processing 95

Data Processing Data Warehouse Enterprise Visualization 95

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Many data science labs are set up as shared services. Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

FEBRUARY 23, 2024

Data sources are crucial for reporting, analyzing, and acting on transactional and corporate data and connecting these sources in real time with various tools like connectors, ETL tools, mashups, Web services, and data source-neutral BI solutions is essential. What are the steps of data mapping?

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52