AWS Big Data

NOVEMBER 27, 2024

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. Create dbt models in dbt Cloud. Choose Create.

Data Warehouse 93

Data Warehouse Analytics Testing Sales 93

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 117

Management Metadata Analytics Dashboards 117

O'Reilly on Data

JANUARY 17, 2023

Especially when you consider how Certain Big Cloud Providers treat autoML as an on-ramp to model hosting. Is autoML the bait for long-term model hosting? Related to the previous point, a company could go from “raw data” to “it’s serving predictions on live data” in a single work day.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

AWS Big Data

DECEMBER 4, 2024

Recognizing this paradigm shift, ANZ Institutional Division has embarked on a transformative journey to redefine its approach to data management, utilization, and extracting significant business value from data insights. This enables global discoverability and collaboration without centralizing ownership or operations.

Metadata 93

Metadata Data Governance Data Quality Data-driven 93

datapine

MAY 2, 2023

Benefits Of Big Data In Logistics Before we look at our selection of practical examples and applications, let’s look at the benefits of big data in logistics – starting with the (not so) small matter of costs. A testament to the rising role of optimization in logistics. Why are logistics companies so interested in optimization?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

AWS Big Data

OCTOBER 31, 2023

With a data pipeline, which is a set of tasks used to automate the movement and transformation of data between different systems, you can reduce the time and effort needed to gain insights from the data. Apache Airflow and Snowflake have emerged as powerful technologies for data management and analysis.

Data Processing 102

Data Processing Management Publishing Visualization 102

AWS Big Data

SEPTEMBER 5, 2024

The currently available choices include: The Amazon Redshift COPY command can load data from Amazon Simple Storage Service (Amazon S3), Amazon EMR , Amazon DynamoDB , or remote hosts over SSH. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 106

IoT Data Warehouse Cost-Benefit Reporting 106

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., CRM platforms).

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

AWS Big Data

AUGUST 13, 2024

AWS Glue is a serverless data integration service that helps analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. The SFTP connector is used to manage the connection to the SFTP server. Create the gateway endpoint.

Data Processing 98

Data Processing Visualization Data Lake Data Processing 98

AWS Big Data

AUGUST 19, 2024

This involves creating VPC endpoints in both the AWS and Snowflake VPCs, making sure data transfer remains within the AWS network. Use Amazon Route 53 to create a private hosted zone that resolves the Snowflake endpoint within your VPC. Snowflake credentials are securely stored in AWS Secrets Manager.

Analytics 107

Analytics Data-driven Data Integration Data Lake 107

AWS Big Data

DECEMBER 13, 2023

In collaboration with AWS, BMS identified a business need to migrate and modernize their custom extract, transform, and load (ETL) platform to a native AWS solution to reduce complexities, resources, and investment to upgrade when new Spark, Python, or AWS Glue versions are released.

Metadata 100

Metadata Data Lake Visualization Data Quality 100

Alation

FEBRUARY 2, 2023

Data product managers are in high demand these days. In 2020, Glassdoor rated product manager as the 4th best job in the US. This makes it more important for aspiring data product managers to stay ahead of the competition. So what sets data product managers apart from the pack? Sounds exciting?

Management 52

Management Data-driven Visualization Strategy 52

CIO Business Intelligence

JUNE 13, 2022

“So now there’s a focus on ‘transversal transformation,’” Hackenson adds. Market pressures continue to make customer experience a top CIO concern, says Aamer Baig, a senior partner with management consulting firm McKinsey & Co. To get there, Angel-Johnson has embarked on a master data management initiative.

IT 144

IT Digital Transformation Internet of Things Strategy 144

AWS Big Data

OCTOBER 18, 2023

To look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust set of big data tools in the AWS Cloud to support these activities. InstanceId[]' Go to the Amazon EC2 console and connect to the master node through the Session Manager. or later installed. Instances[].InstanceId[]'

Big Data 91

Big Data Data Processing Interactive Testing 91

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Octopai

NOVEMBER 13, 2022

The modern data stack is a data management system built out of cloud-based data systems. A given modern data stack will usually include components for data ingestion from your data sources, data transformation, data storage, data analysis and reporting.

Enterprise 97

Enterprise Data Warehouse Reporting Metadata 97

IBM Big Data Hub

JUNE 15, 2023

How does watsonx.data bring disruptive innovation to data management? watsonx.data is truly open and interoperable The solution leverages not just open-source technologies, but those with open-source project governance and diverse communities of users and contributors, like Apache Iceberg and Presto, hosted by the Linux Foundation.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

AWS Big Data

AUGUST 26, 2024

AWS Glue Studio visual editor provides a low-code graphic environment to build, run, and monitor extract, transform, and load (ETL) scripts. There’s no infrastructure to manage, so you can focus on rapidly building compliant data flows between key systems. An AWS Identity and Access Management (IAM) role is used for AWS Glue.

Visualization 107

Visualization Metadata Data Transformation Testing 107

AWS Big Data

AUGUST 8, 2024

Oracle GoldenGate for Oracle Database and Big Data adapters Oracle GoldenGate is a real-time data integration and replication tool used for disaster recovery, data migrations, high availability. An AWS Identity and Access Management (IAM) user. An existing or new S3 bucket. ggsci GGSCI > add replicat rps3, exttrail./dirdat/tr/ea

Analytics 98

Analytics Big Data Software Data Integration 98

Cloudera

OCTOBER 8, 2024

Typically, organizations approach generative AI POCs in one of two ways: by using third-party services, which are easy to implement but require sharing private data externally, or by developing self-hosted solutions using a mix of open-source and commercial tools.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

AWS Big Data

SEPTEMBER 13, 2024

Capital Fund Management ( CFM ) is an alternative investment management company based in Paris with staff in New York City and London. CFM assets under management are now $13 billion. In this post, we share how we built a well-governed and scalable data engineering platform using Amazon EMR for financial features generation.

Interactive 86

Interactive Strategy Cost-Benefit Data Governance 86

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For Host , enter the Redshift Serverless endpoint’s host URL. For Port , enter 5349.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

AWS Big Data

MARCH 9, 2023

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards and reports, and share these with tens of thousands of users, either within QuickSight or embedded in your application or website. The QuickSight SDK v2.0

Slice and Dice 87

Slice and Dice Dashboards Analytics Interactive 87

AWS Big Data

MARCH 13, 2024

This post shows how you can use Amazon Location, EventBridge, Lambda, Amazon Data Firehose , and Amazon S3 to build a location-aware data pipeline, and use this data to drive meaningful insights using AWS Glue and Athena. Overview of solution This is a fully serverless solution for location-based asset management.

Analytics 109

Analytics IoT Metadata Internet of Things 109

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

AWS Big Data

JULY 26, 2023

More specifically, you also need to fix bugs, resolve customer issues, and manage software changes. In addition, you need to monitor the overall system performance, security, and user experience to identify new ways to improve the existing data integration pipeline. It is the dictionary generated from default-config.yaml.

Data Integration 79

Data Integration Snapshot Testing Visualization 79

AWS Big Data

JULY 20, 2023

Moreover, running advanced analytics and ML on disparate data sources proved challenging. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data. This ensures that the data is suitable for training purposes.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. In essence, the core capabilities of the best BI tools revolve around four essential functions: data integration, data transformation, data visualization, and reporting.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Alation

MAY 11, 2023

In this blog post, I’ll share some exciting details about how Alation is growing in APAC and what this means for data transformation more widely in the region. All these businesses understand that there must be a better way to manage, find and govern trusted data.

B2B 52

B2B Digital Transformation Marketing Data Processing 52

Alation

JANUARY 17, 2023

Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. These tools are used to manage big data, which is defined as data that is too large or complex to be processed by traditional means. How Did the Modern Data Stack Get Started? Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

AWS Big Data

APRIL 25, 2023

On many occasions, they need to apply business logic to the data received from the source SaaS platform before pushing it to the target SaaS platform. AnyCompany’s marketing team hosted an event at the Anaheim Convention Center, CA. Solution overview Considering our example of AnyCompany, let’s look at the data flow.

Sales 78

Sales Visualization Software Metadata 78

Alation

JULY 18, 2022

“Leveraging the data captured by the Unity metastore, Alation will enhance our existing integration with Databricks by easily including metadata from multiple workspaces,” said Alation director of product marketing Ibby Rahmani. The Power of Partnership to Accelerate Data Transformation. A Giant Partnership and a Giants Game.

ROI 52

ROI Metadata Data Lake Digital Transformation 52

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. The Delta tables created by the EMR Serverless application are exposed through the AWS Glue Data Catalog and can be queried through Amazon Athena. Let’s refer to this S3 bucket as the raw layer.

Data Lake 90

Data Lake Dashboards Metrics Metadata 90

AWS Big Data

FEBRUARY 21, 2023

This is a guest post by Nan Zhu, Tech Lead Manager, SafeGraph, and Dave Thibault, Sr. We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. SafeGraph found itself with a less-than-optimal Spark environment with their incumbent Spark vendor.

Cost-Benefit 59

Cost-Benefit Informatics Optimization Management 59

Alation

MAY 11, 2023

In this blog post, I’ll share some exciting details about how Alation is growing in APAC and what this means for data transformation more widely in the region. All these businesses understand that there must be a better way to manage, find and govern trusted data.

B2B 40

B2B Digital Transformation Marketing Data Processing 40