AWS Big Data

NOVEMBER 8, 2023

In today’s data-driven landscape, the quality of data is the foundation upon which the success of organizations and innovations stands. High-quality data is not just about accuracy; it’s also about timeliness. Hear about best practices that can help with migration while still maintaining costs, scale, and performance.

Data-driven 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

Cloudera

SEPTEMBER 2, 2020

CDP Private Cloud offers benefits of a public cloud architecture—autoscaling, isolation, agile provisioning, etc.—in Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). in an on-premise environment.

Cost-Benefit 70

Cost-Benefit Data Warehouse Data Lake Machine Learning 70

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 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

AWS Big Data

MARCH 27, 2023

Data lakes have come a long way, and there’s been tremendous innovation in this space. Today’s modern data lakes are cloud native, work with multiple data types, and make this data easily available to diverse stakeholders across the business.

Data Lake 85

Data Lake Data-driven Management Data Architecture 85

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . What is the rationale for driving a modern data architecture? There are three major architectures under the modern data architecture umbrella. . and — more worryingly — “how can we be sure?”

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86

IBM Big Data Hub

FEBRUARY 2, 2023

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. In reality, cloud data warehouses have evolved to provide the same control maturity as on-prem warehouses.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

MARCH 26, 2024

The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services. Data storage Structured, semi-structured, or unstructured batch data is stored in an object storage because these are cost-efficient and durable.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. a deeper cloud vs. on-prem cost/benefit analysis raises more questions about moving these complex systems to the cloud: Is moving this particular operation to the cloud the right option right now ? .

Cost-Benefit 76

Cost-Benefit Big Data ROI Risk 76

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 103

Management Metrics Cost-Benefit Data Lake 103

AWS Big Data

APRIL 28, 2023

In this example, the analytics tool accesses the data lake on Amazon Simple Storage Service (Amazon S3) through Athena queries. As the data mesh pattern expands across domains covering more downstream services, we need a mechanism to keep IdPs and IAM role trusts continuously updated. Data Architect at AWS Professional Services.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

CIO Business Intelligence

FEBRUARY 20, 2024

All data is held in a lake-centric hub, and protected by a strong, universal security model, with data loss prevention and protection for sensitive data, and features for auditing and forensic investigation already built-in. If this all seems challenging, Avanade can help.

Cost-Benefit 101

Cost-Benefit Data Lake Data Warehouse Data Processing 101

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. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

BizAcuity

MAY 10, 2022

Despite cost-cutting being the main reason why most companies shift to the cloud, that is not the only benefit they walk away with. Cloud washing is storing data on the cloud for use over the internet. While that allows easy access to users, and saves costs, the cloud is much more and beyond that.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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. With a success behind you, sell that experience as the kind of benefit you can help improve.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. 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. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

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. This enables the company to extract additional value from the data through real-time availability and contextualization.

Manufacturing 82

Manufacturing Data Lake Digital Transformation Machine Learning 82

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Data warehouses can be complex, time-consuming, and expensive. Data sources can have different formats, structures, and schemas.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52