AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. A shapeshifting guardian and protector of data like Data Lynx?

Analytics 111

Analytics Data Lake Data Warehouse Data-driven 111

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 81

Data Lake Data Governance Cost-Benefit Machine Learning 81

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 111

Analytics Data Lake Unstructured Data Enterprise 111

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

JANUARY 12, 2024

Many organizations, small and large, are working to migrate and modernize their analytics workloads on Amazon Web Services (AWS). We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. The data will be consumed by downstream analytical processes.

Data Lake 94

Data Lake Cost-Benefit Visualization Structured Data 94

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can use it for analytics, ML, and application development. Then we chose Amazon Athena as our query service.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

MAY 9, 2023

New Data Lakehouse Enables Stronger Data Governance SoftBank needed to reduce the number of workloads on its existing platform and decided to adopt Cloudera to build a data lake capable of managing data more effectively. We believe these new data analysis capabilities will boost what we can offer to our customers.”

Data Lake 93

Data Lake IoT Data Governance Data Strategy 93

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

Smart Data Collective

AUGUST 7, 2019

One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. The best thing that you can do is find some data analytics tools to solve your most pressing challenges. Social media analytics.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

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

AWS Big Data

NOVEMBER 15, 2023

The analytics team is waiting to engage with our customers and partners at the analytics kiosk in the expo hall. For the latest and greatest with Amazon Redshift , our cloud data warehousing solution, I’ve curated a few must-attend sessions. But there are so many good ones on the list.

Data Lake 65

Data Lake Data Warehouse B2B Deep Learning 65

Cloudera

MARCH 28, 2024

Modern data architecture: A flexible approach is critical for building a modern architecture, with IT leaders recognizing the importance of data lakes or lakehouses for managing the large volumes of unstructured and semistructured data required for AI model training.

Data Architecture 97

Data Architecture Strategy Data Lake Data-driven 97

CIO Business Intelligence

NOVEMBER 28, 2023

This means excelling in the under-the-radar disciplines of data architecture and data governance. Emotionally, culturally, and psychologically data management has to be rebranded — in the words of Sumathi Thiyagarajan , VP of business strategy and analytics for the Milwaukee Bucks — as “joyous” work.

Management 112

Management Data Architecture Data Lake Data Strategy 112

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

AWS Big Data

JANUARY 31, 2023

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference. Starting with Amazon EMR release 6.7.0,

Data Lake 82

Data Lake Data Governance Data Architecture Machine Learning 82

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

CIO Business Intelligence

APRIL 11, 2022

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. At the same time, IDC projects, worldwide spending on edge computing will reach $176 billion this year, an increase of 14.8%

Optimization 52

Optimization Data Lake Data Strategy Internet of Things 52

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

AWS Big Data

JUNE 21, 2023

A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

Cloudera

APRIL 4, 2022

The Impact of Data and Analytics. Advancements in data and analytics played a critical role in the vaccine acceleration and has the potential to do the same across the industry. The usage of data lakes and automation are helping facilitate the data sharing and collaboration across the healthcare ecosystem.

Data Lake 83

Data Lake Digital Transformation Manufacturing Sales 83

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

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

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. A change was needed.

Data Science 91

Data Science Data Lake Cost-Benefit Digital Transformation 91

Ontotext

MAY 2, 2024

Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

JANUARY 30, 2024

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. The lack of universal industrial data has been one of the major obstacles slowing the adoption of AI among mainstream manufacturers.

Manufacturing 83

Manufacturing Contextual Data IoT Digital Transformation 83

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 129

Data Architecture Data Warehouse Statistics Visualization 129

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail.

Manufacturing 88

Manufacturing Data Architecture Strategy Data Strategy 88

BizAcuity

MAY 16, 2022

When data is stored in silos and the back-end systems are not able to process the massive amounts of data seamlessly, critical information may be lost. We get critical business insights based on how well we leverage our business data. Your data strategy and roadmap will eventually lead you to a BI strategy.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. With persistent context across analytics and cloud environments, SDX simplifies data delivery and access with a unified multi-tenant model.

Metadata 85

Metadata Data Lake Optimization Modeling 85

AWS Big Data

NOVEMBER 8, 2023

Putting your data to work with generative AI – Innovation Talk Thursday, November 30 | 12:30 – 1:30 PM PST | The Venetian Join Mai-Lan Tomsen Bukovec, Vice President, Technology at AWS to learn how you can turn your data lake into a business advantage with generative AI. Reserve your seat now! Reserve your seat now!

Data-driven 89

Data-driven Data Lake Machine Learning Cost-Benefit 89

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. AI and Analytics is only good as the quality of data been used for it. Data silos.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

CIO Business Intelligence

APRIL 12, 2023

He had been trying to gather new data insights but was frustrated at how long it was taking. Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. A unified data ecosystem enables this in real time.

Machine Learning 136

Machine Learning Cost-Benefit Data-driven Strategy 136

BI-Survey

NOVEMBER 23, 2021

In the age of digitalization, more extensive data and analytics requirements have emerged for which the data warehouse was not sufficiently designed. Data-based insights are being used to automate decisions. Analytics-driven insights are also expected to drive business innovation.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 91

Optimization B2B Data Quality Sales 91

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . The result has been an extraordinary volume of data redundancy across the business, leading to disaggregated data strategy, unknown compliance exposures, and inconsistencies in data-based processes. .

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86