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. Data can be organized into three different zones, as shown in the following figure.

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Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 94

Data Strategy Strategy Data Warehouse Prescriptive Analytics 94

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. This is due to the technical nature of a data system itself.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

JULY 25, 2023

The integration of Talend Cloud and Talend Stitch with Amazon Redshift Serverless can help you achieve successful business outcomes without data warehouse infrastructure management. In this post, we demonstrate how Talend easily integrates with Redshift Serverless to help you accelerate and scale data analytics with trusted data.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

APRIL 25, 2024

This approach allows the team to process the raw data extracted from Account A to Account B, which is dedicated for data handling tasks. This makes sure the raw and processed data can be maintained securely separated across multiple accounts, if required, for enhanced data governance and security.

Metadata 131

Metadata Data Processing Management Testing 131

AWS Big Data

FEBRUARY 19, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Thousands of customers use Amazon Redshift read data sharing to enable instant, granular, and fast data access across Redshift provisioned clusters and serverless workgroups.

Cost-Benefit 113

Cost-Benefit Data Warehouse Marketing Interactive 113

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Data Governance Machine Learning Metadata Data Science 84

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 centrality of data development is crucial.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 72

Digital Transformation Machine Learning Optimization Data Lake 72

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Domino Data Lab

JULY 2, 2019

Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke. Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?”

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Alation

APRIL 14, 2023

Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys. People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys.

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

Alation

FEBRUARY 8, 2022

Making the experts responsible for service streamlines the data-request pipeline, delivering higher quality data into the hands of those who need it more rapidly. Some argue that data governance and quality practices may vary between domains. Interoperable and governed by global standards. This is changing.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

CIO Business Intelligence

DECEMBER 11, 2024

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. The choice of vendors should align with the broader cloud or on-premises strategy.

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Management Data Governance Data Science Reporting 111

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. This enables data-driven decision-making across the organization. Lake Formation – Lake Formation emerged as a cornerstone in Bluestone’s data governance strategy.

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Data-driven Data Lake Data Quality Data Governance 111

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? For this purpose, you can think about a data governance strategy. Ensure data literacy. Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

FEBRUARY 22, 2021

That benefit comes from the breadth of CDP’s analytical capabilities that translates into a unique ability to migrate different big data workloads, either from previous versions of CDH / HDP or from other cloud data warehouses and legacy on-premises data warehouses that the acquired entity might be using.

Cost-Benefit 84

Cost-Benefit Data Warehouse Data Processing Data Governance 84

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 115

Data Lake Data Warehouse B2B Data-driven 115

AWS Big Data

DECEMBER 4, 2024

Under the federated mesh architecture, each divisional mesh functions as a node within the broader enterprise data mesh, maintaining a degree of autonomy in managing its data products. These nodes can implement analytical platforms like data lake houses, data warehouses, or data marts, all united by producing data products.

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Metadata Data Governance Data Quality Data-driven 104

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

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Data Warehouse Data Lake Optimization Data-driven 86

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. See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Sisense

NOVEMBER 5, 2021

Businesses need to deliver this to their customers and internal users, while also grappling with countless data and security challenges. Nagu Nambi , Product Dev and Innovation Director at Radial, leads their Data Warehouse and Analytics Products delivery programs. Building great analytics is only the beginning. . >>>Infusing

Analytics 52

Analytics Data-driven Reporting Interactive 52

Laminar Security

MAY 3, 2023

When evaluating DSPM solutions , look for one that not only extends to all major cloud service providers, but also reads from various databases, data pipelines, object storage, disk storage, managed file storage, data warehouses, lakes, and analytics pipelines, both managed and self-hosted.

Management 40

Management Risk Risk Management Data Processing 40

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

OCTOBER 11, 2023

It requires complex integration technology to seamlessly weave analytics components into the fabric of the host application. Another hurdle is the task of managing diverse data sources, as organizations typically store data in various formats and locations. Join disparate data sources to clean and apply structure to your data.

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Dashboards Data-driven Software Reporting 52

Jet Global

OCTOBER 26, 2023

Addressing these challenges requires a combination of technical solutions, data governance practices, and a clear reporting strategy. Reporting on large datasets can impact performance, leading to slower query response times and lags in real-time reporting.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52