AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 60

Data Warehouse Dashboards Testing Visualization 60

CDW Research Hub

JULY 22, 2019

Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

TDAN

JUNE 16, 2020

When companies embark on a journey of becoming data-driven, usually, this goes hand in and with using new technologies and concepts such as AI and data lakes or Hadoop and IoT. Suddenly, the data warehouse team and their software are not the only ones anymore that turn data […].

Data Warehouse 52

Data Warehouse Data-driven Data Lake IoT 52

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. This will be your OLTP data store for transactional data. version cluster. version cluster.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Enterprise 75

Enterprise Management Strategy Data Lake 75

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. How is data, process, and model drift managed for reliability?

Machine Learning 128

Machine Learning Cost-Benefit Data-driven Strategy 128

AWS Big Data

MARCH 10, 2023

One important feature is to run different workloads such as business intelligence (BI), Machine Learning (ML), Data Science and data exploration, and Change Data Capture (CDC) of transactional data, without having to maintain multiple copies of data.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

JUNE 24, 2022

Almost 22% of respondents in the APAC region have said that lack of alignment between IT and business outcomes is one of the biggest challenges an organization faces when executing its software strategy, despite having fewer budget constraints compared to more developed regions such as North America and Europe. Digital Transformation

Modeling 92

Modeling Digital Transformation Data Architecture Data-driven 92

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 59

Management Enterprise Strategy Data Lake 59

CIO Business Intelligence

SEPTEMBER 14, 2023

They’re often responsible for building algorithms for accessing raw data, too, 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.

Analytics 129

Analytics Data Science Unstructured Data Data mining 129

Cloudera

NOVEMBER 1, 2022

But the public sector has unique challenges with a wholesale migration of data to the public cloud, most exemplified in the shift from cloud first to a cloud smart approach in the Federal Cloud Computing Strategy. Data is one of the DoD’s most strategic assets. It’s here where the private cloud delivers.

Cost-Benefit 89

Cost-Benefit Data Architecture Risk IoT 89

Data Virtualization

MARCH 3, 2021

Data is the fuel of the digital economy, so data-centric organizations have a distinct advantage. To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is.

Management 52

Management Enterprise Strategy Data Lake 52

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. Partner solutions to boost functionality, adoption. The company’s collaboration with Lovelytics is focused on baseball.

Recreation/Entertainment 107

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 107

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. You can also migrate data between different storage tiers.

Data Lake 113

Data Lake Analytics Dashboards Metrics 113

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

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 salary.

Analytics 119

Analytics Data Science Statistics Unstructured Data 119

DataKitchen

JANUARY 3, 2022

Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. Data tables from IT and other data sources require a large amount of repetitive, manual work to be used in analytics. Sometimes BA teams turn to IT, which may have its drawbacks.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Ontotext

NOVEMBER 16, 2023

Data mesh is still in its infancy, and data personas and organizations are craving clarity and specificity. It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

IBM Big Data Hub

JULY 5, 2022

In today’s world of complex data architectures and emerging technologies, databases can sometimes be undervalued and unrecognized. IBM has been the pioneer in paving the way for data management technologies and advancements for decades, from the first commercial database to quantum computing systems.

Data Lake 86

Data Lake Data Warehouse Publishing Structured Data 86

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent. Giving Metadata Meaning.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. Cloud data warehouses can provide a lot of upfront agility, especially with serverless databases,” says former CIO and author Isaac Sacolick.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

AWS Big Data

JANUARY 8, 2024

For high availability and durability, Kinesis Data Streams achieves high durability by synchronously replicating the streamed data across three Availability Zones in an AWS Region and gives you the option to retain data for up to 365 days. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics 113

Analytics IoT Data-driven Snapshot 113

Alation

JULY 30, 2021

A part of that journey often involves moving fragmented on-premises data to a cloud data warehouse. You clearly shouldn’t move everything from your on-premises data warehouses. Otherwise, you can end up with a data swamp. But how do you do so effectively and efficiently? until 1 and 2 are addressed).

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 76

Data Warehouse Data-driven Snapshot Testing 76

CIO Business Intelligence

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. AI and change management Change management has long been instrumental to the success of AI projects.

Enterprise 126

Enterprise Consulting Modeling Cost-Benefit 126

AWS Big Data

JUNE 6, 2023

Prerequisites To follow along with this post, complete the following prerequisites: Have an AWS Identity and Access Management (IAM) role with permissions to extract data from an S3 bucket and write to the AWS Glue Data Catalog. In the upper right corner of the console, choose Admin/username , then choose Manage QuickSight.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

erwin

DECEMBER 12, 2019

But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data. What Is Metadata? by up to 70 percent. Giving Metadata Meaning.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Alation

APRIL 25, 2023

That depends on who you serve, where you operate, and what types of data you’re trying to manage. But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Image Source ) This governance plan must contain protocols and policies for obtaining and storing data.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

That depends on who you serve, where you operate, and what types of data you’re trying to manage. But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Image Source ) This governance plan must contain protocols and policies for obtaining and storing data.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Peter James Thomas

APRIL 3, 2020

I have been very much focussing on the start of a data journey in a series of recent articles about Data Strategy [3]. When I discussed these same figures with my sales team earlier, they came up with what I think is a sound strategy to counterpunch. Introduction.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Data Virtualization

JULY 8, 2020

In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Despite the increasing popularity of cloud services, enterprises continue to struggle with creating and implementing a comprehensive cloud strategy that.

Data Integration 52

Data Integration Strategy Enterprise Management 52

AWS Big Data

JANUARY 24, 2023

Solution overview This post shows how to create a backup of the Lake Formation permissions and AWS Glue Data Catalog from one Region to another in the same account. The solution doesn’t create or modify AWS Identity and Access Management (IAM) roles, which are available in all Regions. Migrate AWS Glue databases and tables.

Data Architecture 66

Data Architecture Metadata Data Lake Snapshot 66

CIO Business Intelligence

NOVEMBER 25, 2022

Today, more than 90% of its applications run in the cloud, with most of its data is housed and analyzed in a homegrown enterprise data warehouse. It’s a different beast to manage workloads in the cloud versus workloads on premise. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68