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

NOVEMBER 17, 2021

On the other hand, poor data visibility can make safeguarding data more difficult, potentially leading to an organization unwittingly exposing data or making it non-compliant with regulations. Prioritize data protection. Effective data management includes a robust data protection strategy.

Strategy 83

Strategy Data Governance Data Warehouse Data-driven 83

Data Science 101

DECEMBER 3, 2019

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? Do you have a data governance document? What data do you collect?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Practice proper data hygiene across interfaces.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 95

Data-driven Data Lake Data Quality Data Governance 95

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management.

Management 112

Management Data Architecture Data Lake Data Strategy 112

Alation

JULY 13, 2021

This recent cloud migration applies to all who use data. We have seen the COVID-19 pandemic accelerate the timetable of cloud data migration , as companies evolve from the traditional data warehouse to a data cloud, which can host a cloud computing environment. The Five Pain Points of Moving Data to the Cloud.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

CIO Business Intelligence

MARCH 6, 2024

The business transformation we’ve led for the last several years has many parts; all our products have been re-built as cloud products and we continue our heritage of being neutral about data, supporting cloud, on premise, and hybrid workloads. My advice is to embrace the concept that data governance is what can allow you to go faster.

Modeling 109

Modeling Management IT Metrics 109

AWS Big Data

APRIL 29, 2024

We show how Ranger integrates with Hadoop components like Apache Hive, Spark, Trino, Yarn, and HDFS, providing secure and efficient data management in a cloud environment. Join us as we navigate these advanced security strategies in the context of Kubernetes and cloud computing.

Management 96

Management Big Data Metadata Data Warehouse 96

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Integrating data across this hybrid ecosystem can be time consuming and expensive. The volume of data assets.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Slice and Dice 117

Slice and Dice Cost-Benefit Risk Data Governance 117

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Timo Elliott

JANUARY 6, 2022

If storage costs are escalating in a particular area, you may have found a good source of dark data. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape. Data sense-making.

IT 133

IT Metadata Data-driven Data Governance 133

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 95

Management Data Warehouse Metrics Dashboards 95

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 75

Metadata Data Lake Data Processing Data-driven 75

AWS Big Data

JUNE 28, 2023

Challenges Customers across industries today are looking to increase revenue and customer engagement by implementing near-real time analytics use cases like personalization strategies, fraud detection, inventory monitoring, and many more. ETL pipelines can be expensive to build and complex to manage. Choose Create preview workgroup.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

Analytics Vidhya

OCTOBER 25, 2023

Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.

Management 215

Management Strategy Enterprise Analytics 215

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 82

Data Lake Data Governance Data Architecture Machine Learning 82

CIO Business Intelligence

MAY 28, 2022

New partnerships with Oracle, Microsoft Azure and Google Cloud are highlighting Informatica’s strategy to dominate the market for data management products by offering integrations that cut down the time and complexity of data migration, management and engineering tasks. Informatica eyes data management dominance.

Management 102

Management Data Warehouse Software Strategy 102

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. 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.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

FEBRUARY 7, 2019

Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. The volume and variety of data has snowballed, and so has its velocity. As such, traditional – and mostly manual – processes associated with data management and data governance have broken down.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

AWS Big Data

NOVEMBER 13, 2023

As your company transforms, you need a data foundation for business applications, new technical innovations, and data-driven business initiatives. With new capabilities for self-service and simpler builder experiences, you can democratize data access for line-of-business users, analysts, scientists, and engineers.

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

Jet Global

JANUARY 17, 2019

This will give your data the accurate and dependable foundation for analytics, allowing you to make meaningful decisions from the right data. How MDM Can Prepare Your Data for BI. While your Dynamics ERP system does a great job at collecting data, you should always have a strategy in place to manage it all.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

CIO Business Intelligence

MAY 27, 2022

New partnerships with Oracle, Microsoft Azure and Google Cloud are highlighting Informatica’s strategy to dominate the market for data management products by offering integrations that cut down the time and complexity of data migration, management and engineering tasks. Informatica eyes data management dominance.

Management 94

Management Data Warehouse Software Strategy 94

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. S3 data lake – Contains the web activity and leads datasets.

Data Lake 87

Data Lake Data Warehouse Marketing Management 87

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

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. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Process Analytics. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Quality 300

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. 2: Biz Problem – Making Data Ready for Business Analysis.

Data Warehouse 52

Data Warehouse Data Governance Machine Learning Data-driven 52

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. Learn more about CDP Private Cloud here.

Cost-Benefit 91

Cost-Benefit Data Architecture Risk IoT 91

Cloudera

NOVEMBER 12, 2020

Moving to a cloud-only based model allows for flexible provisioning, but the costs accrued for that strategy rapidly negate the advantage of flexibility. . Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. How Burst to Cloud can solve your data center pressure.

Data Warehouse 105

Data Warehouse Reporting Risk Cost-Benefit 105