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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

APRIL 24, 2024

In fact, AMA collects a huge amount of structured and unstructured data from bins, collection vehicles, facilities, and user reports, and until now, this data has remained disconnected, managed by disparate systems and interfaces, through Excel spreadsheets.

Digital Transformation 92

Digital Transformation Business Intelligence Unstructured Data Data Lake 92

CIO Business Intelligence

JUNE 28, 2023

The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We He points to cost savings from the reduction in laboratory tests, formulations, external software licenses, and the optimization of activities.

Digital Transformation 82

Digital Transformation Cost-Benefit Informatics Data mining 82

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 128

Machine Learning Cost-Benefit Data-driven Strategy 128

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure.

Data Lake 112

Data Lake Data Warehouse Visualization Snapshot 112

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

DataKitchen

JANUARY 3, 2022

They are less oriented toward delivering customer value and more focused on servicing their internal process or internal software development lifecycle. There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This makes the data available sooner. So, parallelism is not guaranteed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

CIO Business Intelligence

SEPTEMBER 21, 2023

They can code, write poetry, draw in any art style, create PowerPoint slides and website mockups, write marketing copy and emails, and find new vulnerabilities in software and plot holes in unpublished novels. In a recent report, he estimated that gen AI software revenues will grow from $3.7 Gen AI took a few months.

Enterprise 126

Enterprise Consulting Modeling Cost-Benefit 126

IBM Big Data Hub

FEBRUARY 2, 2023

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. Companies are shifting their investments to cloud software and reducing their spend on legacy infrastructure.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Testing 77

Testing Data Lake Cost-Benefit Data Integration 77

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. When building event-driven microservices, customers want to achieve 1.

Analytics 112

Analytics IoT Data-driven Snapshot 112

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

DataKitchen

NOVEMBER 29, 2021

From our unique vantage point in the evolution toward DataOps automation, we publish an annual prediction of trends that most deeply impact the DataOps enterprise software industry as a whole. With data and tools increasingly in the cloud, data organizations are finding ways to accommodate remote work. Data Gets Meshier.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

JUNE 6, 2023

About the authors Zack Zhou is a Software Development Engineer on the AWS Glue team. Deenbandhu Prasad is a Senior Analytics Specialist at AWS, specializing in big data services. He is passionate about helping customers build modern data architecture on the AWS Cloud.

Data Quality 71

Data Quality Metrics Visualization Dashboards 71

Alation

NOVEMBER 2, 2022

This leading software investment firm has partnered with the who’s-who of data-centric companies, including Qlik and Starburst, to help them drive sustainable, long-term growth. The lakehouse] helps businesses really harness the power of data and analytics and AI. And data governance is critical to driving adoption.”.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

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. Cloudera DataFlow offers the capability for Edge to cloud streaming data processing. This can extend to streaming analytics capabilities into any cloud environment.

Enterprise 62

Enterprise Data Lake Strategy Metadata 62

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 97

Data Warehouse Testing Data Lake Data-driven 97

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

AWS Big Data

APRIL 19, 2023

Building an optimal data system As data grows at an extraordinary rate, data proliferation across your data stores, data warehouse, and data lakes can become a challenge. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Data Warehouse 85

Data Warehouse Data Lake Cost-Benefit Structured Data 85

AWS Big Data

AUGUST 2, 2023

Although this approach may yield useful results, CEMS requires specific sensing equipment for each greenhouse gas to be measured, requires supporting hardware and software, and is typically more suitable for Environment Health and Safety applications of centralized emission sources.

Data Lake 71

Data Lake Measurement Visualization Data Architecture 71

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Warehouse, data lake convergence. Meet the data lakehouse.

Data Lake 100

Data Lake Unstructured Data Data Warehouse Data Quality 100

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). Iceberg is a 100% open table format, developed through the Apache Software Foundation , and helps users avoid vendor lock-in. We selected change data capture as our first use case on Iceberg.

Data Lake 88

Data Lake Data Architecture Metadata Data Warehouse 88

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. In this approach, teams responsible for generating data are referred to as producers.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

BizAcuity

APRIL 14, 2022

A large number of organizations accumulate massive amounts of data almost every single day and analyzing every batch of data that comes in demands the use of modern tools and platforms. There are a wide range of problems that are presented to organizations when working with big data. Unscalable data architecture.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Data Virtualization

SEPTEMBER 16, 2020

Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of. Organizations all over the world are migrating their IT infrastructures and applications to the cloud.

Big Data 59

Big Data Internet of Things Analytics IT 59

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. He has several years of software engineering and ML background.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

JUNE 10, 2024

Solving the small file problem and improving query performance In modern data architectures, stream processing engines such as Amazon EMR are often used to ingest continuous streams of data into data lakes using Apache Iceberg. The following table shows the cost and time for each query and product. 5 seconds $0.08

Data Lake 108

Data Lake Metadata Snapshot Analytics 108

Alation

JULY 7, 2022

Alation launched the Data Intelligence Project in the summer of 2021 to train the next generation of data leaders. Today, we offer our software free of charge, to faculty and students at academic institutions, as a learning tool. New roles and opportunities in data are multiplying!

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

OCTOBER 25, 2023

After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. These services write the output to a data lake.

Unstructured Data 118

Unstructured Data Metadata Management Analytics 118

AWS Big Data

MARCH 26, 2024

AWS Glue Data Quality checks for and alerts on poor data, making it straightforward to spot and fix issues before they harm your business. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

MAY 12, 2022

The biggest challenge for any big enterprise is organizing the data that has organically grown across the organization over the last several years. Everyone has data lakes, data ponds – whatever you want to call them. How do you get your arms around all the data you have? So, real-time data has become air.

Testing 89

Testing Data Lake Advertising Marketing 89

BI-Survey

AUGUST 21, 2020

It is noteworthy that business users in particular consider the inability to provide required data and the lack of user acceptance as even more important than enhanced self-service. In particular executives (31 percent) and business intelligence/analytics teams (30 percent) agree that software licenses are too expensive in general.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Alation

APRIL 14, 2022

For example, data science always consumes “historical” data, and there is no guarantee that the semantics of older datasets are the same, even if their names are unchanged. Pushing data to a data lake and assuming it is ready for use is shortsighted. The solution to the problem is a data catalog.

Metadata 59

Metadata Data Governance Modeling Data-driven 59