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 82

Data Lake Data Governance Cost-Benefit Machine Learning 82

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

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 95

Data Lake Cost-Benefit Visualization Structured Data 95

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 129

Management Data Architecture Data Lake Data Strategy 129

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 Business Intelligence 52

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 84

Data Lake Data Governance Data Architecture Data Warehouse 84

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 97

Data Governance Unstructured Data Metadata Data Lake 97

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

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 93

Data Lake Data Processing Metadata Snapshot 93

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 Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

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 82

Manufacturing Contextual Data IoT Digital Transformation 82

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 Digital Transformation 105

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

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 82

Data Lake Digital Transformation Manufacturing Sales 82

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

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 57

Data-driven Enterprise Data Governance Data Lake 57

BizAcuity

MAY 16, 2022

For business intelligence to work out for your business – Define your data strategy roadmap. Your data strategy and roadmap will eventually lead you to a BI strategy. So, make sure you have a data strategy in place. Data mining.

Business Intelligence 52

Business Intelligence Data mining Data Lake Visualization 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 84

Metadata Data Lake Optimization Modeling 84

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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 81

Data Science Data Analytics Prescriptive Analytics Analytics 81

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

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

Smart Data Collective

AUGUST 7, 2019

Big data has the power to transform any small business. 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. New England College talks in detail about the role of big data in the field of business.

Data Analytics 97

Data Analytics Analytics Big Data Advertising 97

CIO Business Intelligence

APRIL 12, 2023

Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. In this article, I’ll share insights on aligning vision and leadership, as well as reducing complexity to make data actionable for delivering real-time AI solutions.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

AWS Big Data

MARCH 23, 2023

Register the S3 path storing the table using Lake Formation We register the S3 full path in Lake Formation: Navigate to the Lake Formation console. In the navigation pane, under Register and ingest , choose Data lake locations. Jack Ye is a software engineer of the Athena Data Lake and Storage team at AWS.

Interactive 70

Interactive Snapshot Data Lake Software 70

CIO Business Intelligence

JULY 18, 2022

Data is in constant flux, due to exponential growth, varied formats and structure, and the velocity at which it is being generated. Data is also highly distributed across centralized on-premises data warehouses, cloud-based data lakes, and long-standing mission-critical business systems such as for enterprise resource planning (ERP).

Cost-Benefit 93

Cost-Benefit Data Lake Data Warehouse Enterprise 93

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

Cloudera

SEPTEMBER 2, 2020

Additionally, lines of business (LOBs) are able to gain access to a shared data lake that is secured and governed by the use of Cloudera Shared Data Experience (SDX). Implement an infrastructure-agnostic enterprise hybrid cloud data strategy by incorporating CDP Private Cloud and CDP Public Cloud.

Cost-Benefit 70

Cost-Benefit Data Warehouse Data Lake Machine Learning 70

Alation

JANUARY 10, 2023

These are companies that have tried to make something resembling a data catalog themselves — e.g., using business glossaries, spreadsheets, and other systems — but they have recognized problems with this method. Starting a data strategy journey. Acting on and making use of data.

ROI 52

ROI Strategy Data Lake Data-driven 52

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 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Sisense

NOVEMBER 12, 2020

In recent years, there has been a rise in the use of data lakes, and cloud data warehouses are positioning themselves to be paired well with these. Data lakes are essentially sets of structured and unstructured data living in flat files in some kind of data storage.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

AWS Big Data

MARCH 27, 2023

Businesses are using real-time data streams to gain insights into their company’s performance and make informed, data-driven decisions faster. As real-time data has become essential for businesses, a growing number of companies are adapting their data strategy to focus on data in motion.

Visualization 78

Visualization Data Lake Interactive Data-driven 78

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. Protecting their data and business while allowing more self-serve and access.

Dashboards 98

Dashboards Visualization Data Warehouse Data Lake 98

Smart Data Collective

NOVEMBER 30, 2020

Many companies have already taken advantage of data automation in their operations. We have talked about many different types of automation in the past, including the automation of data lakes. What Does Data Automation Do and What Are Its Limitations? However, there are other applications that you should be aware of.

Big Data 83

Big Data Data Lake ROI Marketing 83

Hurwitz & Associates

JUNE 28, 2018

Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. Become the central data source and the AI framework for IBM.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. That combination of MiNiFi, NiFi, Kafka, and Flink is what makes for a true data-in-motion platform and empowers companies with the ability to ingest, scale, and process data in real-time.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62