AWS Big Data

OCTOBER 21, 2024

Let’s briefly describe the capabilities of the AWS services we referred above: AWS Glue is a fully managed, serverless, and scalable extract, transform, and load (ETL) service that simplifies the process of discovering, preparing, and loading data for analytics. To incorporate this third-party data, AWS Data Exchange is the logical choice.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

JULY 26, 2023

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 97

Data Integration Snapshot Testing Visualization 97

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 119

Analytics Data-driven Data Integration Data Lake 119

CIO Business Intelligence

FEBRUARY 20, 2024

Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. No wonder CIO’s 2023 AI Priorities study found that data integration was the number one concern for IT leaders around generative AI integration, above security and privacy and the user experience.

Cost-Benefit 115

Cost-Benefit Data Lake Data Warehouse Data Processing 115

AWS Big Data

AUGUST 13, 2024

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. Choose Store a new secret.

Data Processing 115

Data Processing Visualization Data Lake Data Processing 115

Smart Data Collective

SEPTEMBER 26, 2019

Data Integration. Data integration is key for any business looking to keep abreast with the ever-changing technology landscape. As a result, companies are heavily investing in creating customized software, which calls for data integration. Real-Time Data Processing and Delivery. Final Thoughts.

Big Data 102

Big Data Software Unstructured Data Data Integration 102

AWS Big Data

JUNE 10, 2024

For consumer access, a centralized catalog is necessary where producers can publish their data assets. Cross-producer data access – Consumers may need to access data from multiple producers within the same catalog environment. The producer account will host the EMR cluster and S3 buckets. VPC with the CIDR 10.0.0.0/16.

Data Lake 116

Data Lake Metadata Data Warehouse Data Processing 116

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration. The chat (#CXChat) was on customer experience and emerging technologies.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

IBM Big Data Hub

NOVEMBER 14, 2023

Additionally, by managing the data product as an isolated unit it can have location flexibility and portability — private or public cloud — depending on the established sensitivity and privacy controls for the data. Doing so can increase the quality of data integrated into data products.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

Cloudera

NOVEMBER 22, 2021

In addition, data pipelines include more and more stages, thus making it difficult for data engineers to compile, manage, and troubleshoot those analytical workloads. As a result, alternative data integration technologies (e.g., Limited flexibility to use more complex hosting models (e.g.,

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

IBM Big Data Hub

DECEMBER 11, 2023

With the advent of enterprise-level cloud computing, organizations could embark on cloud migration journeys and outsource IT storage space and processing power needs to public clouds hosted by third-party cloud service providers like Amazon Web Services (AWS), IBM Cloud, Google Cloud and Microsoft Azure.

Cost-Benefit 101

Cost-Benefit Data Processing Strategy Software 101

Cloudera

AUGUST 28, 2023

Privacy concerns loom large, as many enterprises are cautious about sharing their internal knowledge base with external providers to safeguard data integrity. This delicate balance between outsourcing and data protection remains a pivotal concern. Head to Cloudera Machine Learning (CML) and access the AMP catalog.

Enterprise 76

Enterprise Machine Learning Modeling Data Processing 76

datapine

AUGUST 20, 2019

Integration automates data ingestion to: process large files easily without manually coding or relying on specialized IT staff. handle large data volumes and velocity by easily processing up to 100GB or larger files. Data ingestion becomes faster and much accurate. get rid of expensive hardware, IT databases, and servers.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Alation

JANUARY 20, 2022

What’s the business impact of critical data elements being trustworthy… or not? In this step, you connect data integrity to business results in shared definitions. This work enables business stewards to prioritize data remediation efforts. Step 4: Data Sources. Minimum and maximum values for data elements?

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. We keep feeding the monster data.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Cloudera

JUNE 22, 2023

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud.

Cost-Benefit 66

Cost-Benefit Digital Transformation Data Governance Unstructured Data 66

Smart Data Collective

OCTOBER 26, 2023

Specialists in cybersecurity help in taking appropriate precautions to secure sensitive data and individual privacy in the modern digital environment. Machine learning algorithms can adapt and improve over time, enabling them to recognize new, previously unseen attack patterns. How to become a cybersecurity specialist?

Technology 123

Technology Risk Measurement Data-driven 123

Cloudera

APRIL 14, 2021

Precisely Data Integration, Change Data Capture and Data Quality tools support CDP Public Cloud as well as CDP Private Cloud. docker build --network=host -t <company-registry>/custom-dex-spark-runtime:<version> -f Dockerfile. ISV Partners, like Precisely , support Cloudera’s hybrid vision.

Data Warehouse 84

Data Warehouse Data Processing Machine Learning Data Quality 84

IBM Big Data Hub

JANUARY 10, 2024

The protection of data-at-rest and data-in-motion has been a standard practice in the industry for decades; however, with advent of hybrid and decentralized management of infrastructure it has now become imperative to equally protect data-in-use.

Data Processing 70

Data Processing Risk Modeling Cost-Benefit 70

AWS Big Data

DECEMBER 13, 2023

In addition to using native managed AWS services that BMS didn’t need to worry about upgrading, BMS was looking to offer an ETL service to non-technical business users that could visually compose data transformation workflows and seamlessly run them on the AWS Glue Apache Spark-based serverless data integration engine.

Metadata 111

Metadata Data Lake Visualization Data Quality 111

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. For Host , enter the Redshift Serverless endpoint’s host URL. For Port , enter 5349. This is optional.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

JULY 20, 2023

One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Oded Lifshiz is a Principal Software Engineer at Orca Security.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

AWS Big Data

SEPTEMBER 22, 2023

At Stitch Fix, we have used Kafka extensively as part of our data infrastructure to support various needs across the business for over six years. Kafka plays a central role in the Stitch Fix efforts to overhaul its event delivery infrastructure and build a self-service data integration platform.

Management 119

Management Metrics Cost-Benefit Data Lake 119

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. There’s one more thing. Even more training and upskilling.

Insurance 83

Insurance Risk Data-driven Finance 83

IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

Cost-Benefit 87

Cost-Benefit Testing Risk Strategy 87

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

IBM Big Data Hub

JANUARY 29, 2024

The AI learns from what it sees around it and when combined with automation can infuse intelligence and real-time decision-making into any workflow. An example is machine learning, which enables a computer or machine to mimic the human mind.

Digital Transformation 66

Digital Transformation Consulting Internet of Things Recreation/Entertainment 66

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. For Report path prefix , enter cur-data/account-cur-daily.

Reporting 98

Reporting Data Lake Management Optimization 98

FineReport

MARCH 31, 2024

Furthermore, these tools boast customization options, allowing users to tailor data sources to address areas critical to their business success, thereby generating actionable insights and customizable reports. Flexible pricing options, including self-hosted and cloud-based plans, accommodate businesses of all sizes.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

FineReport

APRIL 26, 2023

Recently, Spark set a new record by processing 100 terabytes of data in just 23 minutes, surpassing Hadoop’s previous world record of 71 minutes. This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

CIO Business Intelligence

AUGUST 7, 2024

To counter bad actors, TCS decided to deploy automation, artificial intelligence, and machine learning resulting in a more sophisticated, AI-assisted enterprise defense. Options included hosting a secondary data center, outsourcing business continuity to a vendor, and establishing private cloud solutions.

IT 119

IT Insurance Cost-Benefit Testing 119

datapine

MAY 17, 2021

If you have multiple databases from different touchpoints, you should look for a tool that will allow data integration no matter the amount of information you want to include. Besides connecting the data, the discovery tool you choose should also support working with big amounts of data. Let’s take a further look into it.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52