AWS Big Data

JUNE 6, 2023

This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively. cost savings , when compared to using open-source Apache Spark on Amazon EKS. This means that anyone running Spark workloads on EKS can take advantage of EMR’s optimized runtime. The EMR runtime provides up to 5.37

Optimization 72

Optimization Data Lake Cost-Benefit Management 72

IBM Big Data Hub

FEBRUARY 2, 2023

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. 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

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. A solution. You are probably hesitant.

Data Warehouse 105

Data Warehouse Reporting Risk Cost-Benefit 105

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

AWS Big Data

NOVEMBER 8, 2023

Redshift Serverless measures data warehouse capacity in Redshift Processing Units (RPUs), which are part of the compute resources. All of the data stored in your warehouse, such as tables, views, and users, make up a namespace in Redshift Serverless. Loading data is a key process for any analytical system, including Amazon Redshift.

Data Lake 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

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 82

Data Lake Data Analytics Analytics Data Processing 82

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 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

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

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 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

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 104

Management Metrics Cost-Benefit Data Lake 104

CIO Business Intelligence

SEPTEMBER 22, 2023

The term “data management platform” can be confusing because, while it sounds like a generalized product that works with all forms of data as part of generalized data management strategies, the term has been more narrowly defined of late as one targeted to marketing departments’ needs. Of course, marketing also works.

Management 103

Management Advertising Data Lake Sales 103

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 83

Manufacturing Data Lake Digital Transformation Machine Learning 83

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. When it comes to data movement outside the boundaries of Data Products (i.e., A Client Example.

Metadata 127

Metadata Cost-Benefit Enterprise Interactive 127

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

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

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. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52