CDW Research Hub

JULY 27, 2021

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. The user can then consume the data through reports, web applications, mobile apps, or a data platform of their choice.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Cloudera

FEBRUARY 7, 2019

This data is sensitive in nature – so the highest of security protocols need to be maintained, while enabling the majority of business decisions to leverage this key information through the organization’s analytics and reporting capabilities. Implementing a Modern Data Architecture.

Big Data 67

Big Data Data Analytics Analytics Data Architecture 67

DataKitchen

NOVEMBER 4, 2021

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer job description.

Analytics 123

Analytics Data Science Statistics Unstructured Data 123

DataKitchen

JANUARY 3, 2022

Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 96

Analytics Data Warehouse Testing Dashboards 96

AWS Big Data

JANUARY 24, 2023

This utility can detect any changes made to the Data Catalog metadata, databases, tables, and columns while replicating the Data Catalog from the source to the target Region. The utility reports the number of objects modified during its run. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

BizAcuity

APRIL 14, 2022

Its effective data analytics that allows personalization in marketing & sales, identifying new opportunities, making important decisions and being sustainable for the long term. Competitive Advantages to using Big Data Analytics. Challenges associated with Data Management and Optimizing Big Data.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 103

Data Lake Unstructured Data Data Warehouse Data Quality 103

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. Organizations using C360 achieved 43.9%

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

AWS Big Data

MARCH 28, 2023

In a data warehouse, a dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. Over the years, he has helped multiple customers on data platform transformations across industry verticals. SELECT * FROM "deltalake_2438fbd0"."employee"

Data Lake 71

Data Lake Testing Snapshot Sales 71

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

O'Reilly on Data

SEPTEMBER 11, 2019

Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. Data engineering is an intense focus of interest and innovation, with data-in-motion—e.g., stream, time-series—starting to displace the batch-centric, data-at-rest paradigm.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads.

Data Warehouse 99

Data Warehouse Machine Learning Data-driven Data Lake 99

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue. They decided to focus on four runtime engines.

Data Lake 93

Data Lake Metadata Snapshot Analytics 93

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

FEBRUARY 27, 2024

Each data producer within the organization has its own data lake in Apache Hudi format, ensuring data sovereignty and autonomy. These datasets are pivotal for reporting and analytics use cases, powered by services like Amazon Redshift and tools like Power BI.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 90

Analytics Data Lake Metadata Cost-Benefit 90

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Smarten

MAY 30, 2023

You will achieve seamless integration of Augmented Analytics and Business Intelligence Objects with easy to use, scalable integration APIs. Integrate objects (Dashboards, Crosstab, Tabular, KPIs, Graphs, Reports, models, Clickless Analytics and more).’

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52