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

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.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

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.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

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. It isn’t easy.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data Management

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

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.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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

NOVEMBER 14, 2024

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures.

Metadata 121

Metadata Data Warehouse Big Data Data Lake 121

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. It enables organizations to quickly construct robust, high-performance data lakes that support ACID transactions and analytics workloads.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

BI-Survey

NOVEMBER 23, 2021

However, the operational data stored in data silos was not suitable for this task. Many companies therefore built a data warehouse to consolidate their operational data silos. Data-based insights are being used to automate decisions. Data black holes: the high cost of supposed flexibility.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

AWS Big Data

FEBRUARY 9, 2023

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. One widely used approach is getting the CRM data into your data warehouse and keeping it up to date through frequent data synchronization.

Data Warehouse 102

Data Warehouse Data-driven Snapshot Testing 102

Peter James Thomas

MAY 3, 2019

Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art. More recently Big Data architectures, including things like Data Lakes , have appeared and – at least in some cases – begun to add significant value.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Alation

DECEMBER 14, 2021

These included: Johnson & Johnson is migrating its entire enterprise data warehouse to the cloud to get better performance, reduced costs, and superior scalability. Redshift , AWS’ data warehouse that powers data exchange, provides 3x performance (3TB, 30 Tb, 100Tb dataset). In Conclusion.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Ravi helps customers with enterprise data strategy initiatives across insurance, airlines, pharmaceutical, and financial services industries.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Unscalable data architecture.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

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]. The way that this consistency of figures is achieved is by all elements of the Structured Reporting Framework drawing their data from the same data repositories. Introduction.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

Data Virtualization

JUNE 19, 2024

Reading Time: 5 minutes The data landscape has evolved and become more complex as organizations recognize the need to leverage data and analytics. Generative artificial intelligence has further put pressure on organizations to manage this complexity. At TDWI, we see companies collecting traditional structured.

Data Integration 59

Data Integration Management Analytics Data Architecture 59

TDAN

JANUARY 3, 2023

For a while now, vendors have been advocating that people put their data in a data lake when they put their data in the cloud. The Data Lake The idea is that you put your data into a data lake. Then, at a later point in time, the end user analyst can come along and […].

Data Lake 59

Data Lake Data Architecture Data Warehouse Data Strategy 59

TDAN

JULY 4, 2023

The O*NET Data Collection Program, which is sponsored by the U.S. Department of Labor, is seeking the input of expert Data Warehousing Specialists. You have the opportunity to participate […]

Data Collection 52

Data Collection Data Architecture Data Warehouse Data Strategy 52

Data Virtualization

MAY 13, 2022

Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.

Data Integration 52

Data Integration Marketing Management Data Warehouse 52

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

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 111

Data-driven Data Lake Data Quality Data Governance 111

CIO Business Intelligence

APRIL 25, 2022

Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. Aligning data. A real-time data architecture should be designed with a set of aligned data streams that flow easily throughout the data ecosystem.

Data Architecture 119

Data Architecture Digital Transformation Data-driven Strategy 119

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 119

Analytics Data Lake Data Warehouse Data-driven 119

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Technology cost reduction / avoidance.

Cost-Benefit 84

Cost-Benefit Data Warehouse Data Processing Data Governance 84

BI-Survey

DECEMBER 22, 2020

Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance. Thus, it is taken for granted that companies should have a data strategy. But what is the scope of an effective strategy and who is affected by it?

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

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

Alation

FEBRUARY 20, 2020

The next stops on the MLDC World Tour include Data Transparency in Washington, Gartner Symposium/ITxpo in Orlando, Teradata Analytics Universe in Las Vegas, Tableau in New Orleans, Big Data LDN in London, TDWI in Orlando and Forrester Data Strategy & Insights in Orlando, again. Data Catalogs Are the New Black.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. His focus areas are MLOps, feature stores, data lakes, model hosting, and generative AI.

Data Lake 88

Data Lake Machine Learning Data Architecture Data-driven 88

Jet Global

OCTOBER 1, 2024

With Simba drivers acting as a bridge between Trino and your BI or ETL tools, you can unlock enhanced data connectivity, streamline analytics, and drive real-time decision-making. Let’s explore why this combination is a game-changer for data strategies and how it maximizes the value of Trino and Apache Iceberg for your business.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52