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. Create a data lake external schema and table in Redshift Serverless.

Data Lake 102

Data Lake Data Warehouse Cost-Benefit Optimization 102

CIO Business Intelligence

JANUARY 10, 2024

Migrating infrastructure and applications to the cloud is never straightforward, and managing ongoing costs can be equally complicated. Plus, you need to balance the FinOps team’s need for autonomy against the CIO’s need for centralized control to gain economies of scale and avoid runaway costs. Then there’s housekeeping.

Cost-Benefit 124

Cost-Benefit Measurement Optimization Metrics 124

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. Note that a managed data asset is an asset for which Amazon DataZone can manage permissions.

Metadata 104

Metadata Data Lake Data Processing Data-driven 104

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 97

Manufacturing Data Lake Digital Transformation Machine Learning 97

AWS Big Data

DECEMBER 13, 2023

Offering this service reduced BMS’s operational maintenance and cost, and offered flexibility to business users to perform ETL jobs with ease. For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users.

Metadata 111

Metadata Data Lake Visualization Data Quality 111

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 113

Data Warehouse Data Lake Cost-Benefit Structured Data 113

CIO Business Intelligence

JULY 31, 2024

We’re now able to provide real-time predictions about our network performance, optimize our inventory, and reduce costs. Several groups are already recognizing cost saving opportunities alongside efficiency gains. What was the foundation you needed build to benefit from gen AI? But the technical foundation is just one piece.

Manufacturing 122

Manufacturing Cost-Benefit Digital Transformation Forecasting 122

CIO Business Intelligence

AUGUST 14, 2024

The cost of OpenAI is the same whether you buy it directly or through Azure. Organizations typically start with the most capable model for their workload, then optimize for speed and cost. Platform familiarity has advantages for data connectivity, permissions management, and cost control.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

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 110

Enterprise Data Warehouse Snapshot Cost-Benefit 110

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. In the navigation pane, under Data catalog , choose Settings.

Data Lake 98

Data Lake Data-driven Management Data Architecture 98

AWS Big Data

AUGUST 19, 2024

This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC.

Analytics 118

Analytics Data-driven Data Integration Data Lake 118

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. ” These large models have lowered the cost and labor involved in automation. We stand on the frontier of an AI revolution. All watsonx.ai

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

AWS Big Data

JULY 17, 2024

sink: - opensearch: # Provide an AWS OpenSearch Service domain endpoint hosts: [ "[link]. > This role should have a trust relationship with osis-pipelines.amazonaws.com sts_role_arn: "arn:aws:iam:: >:role/ " Step 3: OpenSearch Ingestion to Amazon S3 OpenSearch Ingestion offers a built-in sink for loading streaming data directly into S3.

Analytics 115

Analytics IoT Dashboards Data Lake 115

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 105

Management Advertising Data Lake Sales 105

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 89

Data Architecture Cost-Benefit Digital Transformation Business Driver 89

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

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

AWS Big Data

AUGUST 1, 2024

These challenges can range from ensuring data quality and integrity during the migration process to addressing technical complexities related to data transformation, schema mapping, performance, and compatibility issues between the source and target data warehouses.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

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 77

Cost-Benefit Big Data ROI Risk 77

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 119

Management Metrics Cost-Benefit Data Lake 119

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 94

Data Strategy Strategy Data Warehouse Prescriptive Analytics 94

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. These configurations enable you to benefit from EMR runtime performance, AWS Glue Data Catalog integration, and the EMRFS optimized connector.

Optimization 94

Optimization Data Lake Cost-Benefit Management 94

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

Smart Data Collective

OCTOBER 26, 2019

The backup facility’s cost, restoration capability, and efficiency of restoration all matter. While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. Cost of Backup. Closer sites for data storage mean lower cost, but a higher risk to the company.

Big Data 48

Big Data Data Lake Cost-Benefit Measurement 48

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.

Data Warehouse 105

Data Warehouse Reporting Risk Cost-Benefit 105

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

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. More on Kubernetes soon.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

DataRobot Blog

MARCH 7, 2023

DataRobot is available on Azure as an AI Platform Single-Tenant SaaS, eliminating the time and cost of an on-premises implementation. The DataRobot AI Platform seamlessly integrates with Azure cloud services, including Azure Machine Learning, Azure Data Lake Storage Gen 2 (ADLS), Azure Synapse Analytics, and Azure SQL database.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

Sisense

NOVEMBER 12, 2020

The traditional data warehouses solved the problem of processing and synthesizing large data volumes, but they presented new challenges for the analytics process. Cloud data warehouses took the benefits of the cloud and applied them to data warehouses — bringing massive parallel processing to data teams of all sizes.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

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

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 72

Data Governance Management Data-driven Analytics 72

Alation

NOVEMBER 28, 2022

It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

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 98

Data Lake Data Analytics Analytics Data Processing 98

CIO Business Intelligence

MARCH 18, 2024

When it comes to AI, Nafde sees risks in the vendors selected, the business-worthiness of the use case, and the cost of the initiative. To find promising use cases, Webster Bank canvassed several dozen proposals and decided to start with three that could deliver tangible benefits. It’s a significant danger with significant costs.

Risk 133

Risk Cost-Benefit Data Processing Testing 133