AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 97

Data Lake Data Processing Metadata Snapshot 97

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake 69

Data Lake Dashboards Cost-Benefit Data Warehouse 69

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. Once your data is prepared for analysis, the next question is: how else can AI help you?

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

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 74

Data Strategy Strategy Data Warehouse Prescriptive Analytics 74

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

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. That’s not to say that a decentralized data strategy wholly replaces the more traditional centralized data initiative — Maccaux emphasizes that there is a need for both.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 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

SEPTEMBER 12, 2024

In his current role at Salesforce, Sriram works on Zero Copy integration with major data lake partners and helps customers deliver value with their data strategies. Jason Berkowitz is a Senior Product Manager with AWS Lake Formation. He comes from a background in machine learning and data lake architectures.

Data Lake 92

Data Lake Analytics Data-driven Data Strategy 92

AWS Big Data

JANUARY 12, 2024

Ingestion: Data lake batch, micro-batch, and streaming Many organizations land their source data into their data lake in various ways, including batch, micro-batch, and streaming jobs. Amazon AppFlow can be used to transfer data from different SaaS applications to a data lake.

Data Lake 101

Data Lake Cost-Benefit Visualization Structured Data 101

AWS Big Data

OCTOBER 29, 2024

This led to inefficiencies in data governance and access control. AWS Lake Formation is a service that streamlines and centralizes the data lake creation and management process. The Solution: How BMW CDH solved data duplication The CDH is a company-wide data lake built on Amazon Simple Storage Service (Amazon S3).

Data Lake 82

Data Lake Sales Metadata Machine Learning 82

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

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 90

Data Lake IoT Data Governance Data Strategy 90

CIO Business Intelligence

JUNE 17, 2024

Su questa data platform, infatti, convergono tutti i dati generati dagli utenti sui sistemi della società, ovviamente solo laddove abbiano dato il consenso previsto dalle norme per la privacy.

Data Lake 97

Data Lake Data Warehouse Data Strategy Strategy 97

AWS Big Data

AUGUST 27, 2024

The Amazon Redshift service must be running in the same Region where the Salesforce Data Cloud is running. AWS admin roles for Lake Formation and Amazon Redshift: Lake Formation – A data lake admin for accepting the share and providing access to users. He helps customers become data-driven.

Data Lake 89

Data Lake Analytics Data-driven Management 89

CIO Business Intelligence

NOVEMBER 28, 2023

In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy. Contributing to the general lack of data about data is complexity.

Management 131

Management Data Architecture Data Lake Data Strategy 131

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

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 Internet of Things Data Strategy 52

CIO Business Intelligence

OCTOBER 23, 2024

But because of the infrastructure, employees spent hours on manual data analysis and spreadsheet jockeying. We had plenty of reporting, but very little data insight, and no real semblance of a data strategy. Once they were identified, we had to determine we had the right data.

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

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

AWS Big Data

JUNE 21, 2023

A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis. 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. This is achieved by partitioning the data.

Data Warehouse 84

Data Warehouse Data Lake OLAP Cost-Benefit 84

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 93

Data Architecture Strategy Data Lake Data-driven 93

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

AWS Big Data

SEPTEMBER 12, 2024

The application gets prompt templates from an S3 data lake and creates the engineered prompt. The user interaction is stored in a data lake for downstream usage and BI analysis. The application sends the prompt to Amazon Bedrock and retrieves the LLM output.

Management 79

Management Analytics Data Lake Interactive 79

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 visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 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 102

Data Governance Unstructured Data Metadata Data Lake 102

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

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 98

Data Science Data Lake Cost-Benefit Digital Transformation 98

CIO Business Intelligence

MAY 24, 2022

To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. Without a clear data strategy that’s aligned to their business requirements, being truly data-driven will be a challenge.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

CIO Business Intelligence

AUGUST 2, 2023

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind.

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

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 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Cloudera

APRIL 4, 2022

While challenges exist in data interoperability, privacy controls, ongoing compliance initiatives, etc, the industry has proven speed is possible despite these obstacles. . The usage of data lakes and automation are helping facilitate the data sharing and collaboration across the healthcare ecosystem.

Data Lake 80

Data Lake Digital Transformation Manufacturing Sales 80

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Big Data 102

Big Data Machine Learning Contextual Data Data Lake 102

Cloudera

JANUARY 30, 2024

Simply put, many organizations fail to realize the value of AI because they rely on AI tools and data science that is being applied to data which is faulty to begin with. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing? Eliminate data silos.

Manufacturing 80

Manufacturing Contextual Data IoT Internet of Things 80

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. Enterprise Big Data Strategy.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

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 59

IoT Data-driven Data Lake Data Strategy 59

TDAN

OCTOBER 5, 2021

For most organizations, the process of becoming more data-driven starts with better understanding and using their own data. But internal data is just the tip of the iceberg. Underneath the surface of the (data) lake is the untapped value of external data, which has given rise to the data marketplace.

Data Lake 59

Data Lake Data-driven Data Strategy Data Governance 59