datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 104

Data Lake Sales Data Warehouse Snapshot 104

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. The large majority of queries in a typical production data warehouse are repeat queries, and data warehouses with data vault implementations observe the same pattern.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

AWS Big Data

MARCH 9, 2023

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. The following eventNames and eventCodes are returned as part of the onChange callback when there is a change in the SDK code status.

Slice and Dice 82

Slice and Dice Dashboards Analytics Interactive 82

AWS Big Data

JUNE 7, 2023

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. An AWS Glue job (metadata exporter) runs daily on the source account.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Athena is used to run geospatial queries on the location data stored in the S3 buckets.

Analytics 96

Analytics IoT Metadata Internet of Things 96

AWS Big Data

MAY 21, 2024

Initially, searches from Hub queried LINQ’s Microsoft SQL Server database hosted on Amazon Elastic Compute Cloud (Amazon EC2), with search times averaging 3 seconds, leading to reduced adoption and negative feedback. The LINQ team exposes access to the OpenSearch Service index through a search API hosted on Amazon EC2.

Manufacturing 98

Manufacturing Sales Optimization Data Processing 98

AWS Big Data

JANUARY 22, 2024

Data as a product Treating data as a product entails three key components: the data itself, the metadata, and the associated code and infrastructure. In this approach, teams responsible for generating data are referred to as producers. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca choose Apache Iceberg?

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

IBM Big Data Hub

MARCH 29, 2024

Monitoring and optimizing application performance is important for software developers and enterprises at large. The more applications that an enterprise deploys, the more data that exists for collecting and analyzing. Analyzing telemetry data is key in understanding system performance and health.

Metrics 79

Metrics Visualization Measurement Optimization 79

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Then, you transform this data into a concise format. Sandipan Bhaumik (Sandi) is a Senior Analytics Specialist Solutions Architect at AWS.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. 2) By workload type.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Streaming data analytics. . Data science & engineering.

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71

AWS Big Data

MARCH 9, 2023

However, declaring them will help the optimizer arrive at optimal query plans, provided that the data loading processes enforce their integrity. As part of data loading, the dimension tables, including SCD tables, get loaded first, followed by the fact tables. These two columns together define the validity of the record.

Slice and Dice 83

Slice and Dice Data Warehouse Metrics Metadata 83

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

CIO Business Intelligence

JUNE 14, 2023

Big data exploded onto the scene in the mid-2000s and has continued to grow ever since. Today, the data is even bigger, and managing these massive volumes of data presents a new challenge for many organizations. Even if you live and breathe tech every day, it’s difficult to conceptualize how big “big” really is.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

MAY 6, 2021

Infrastructure Cost Optimization. Infrastructure Optimization . Infrastructure Optimization. Replication Manager: A mechanism that helps migrating workloads between clouds and form factors (CDP Private and Public Cloud) and metadata with minimal effort. Germany (Primary Market) . North America (US East Region).

Strategy 91

Strategy Cost-Benefit Optimization Risk 91

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. All the data in the vector engine is encrypted in transit and at rest by default.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

AWS Big Data

AUGUST 28, 2023

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions. For sts_role_arn , enter the ARN of pipeline-role. Set region as us-east-1.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

JUNE 19, 2023

We also walk you through how to use a series of prebuilt visualizations to view events across multiple AWS data sources provided by Security Lake. The documents are gathered and then sent to your OpenSearch Service domain, where index templates map the structure into a schema optimized for Security Lake logs in OCSF format.

Publishing 87

Publishing Dashboards Visualization Management 87

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

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.

Reporting 89

Reporting Data Lake Management Optimization 89

Insight

SEPTEMBER 10, 2019

Pegasus also will make sure that it sets where the namenode stores its metadata by initializing the Hadoop configuration file, hdfs-site.html , and identifying the worker instances in the cluster. Next, Pegasus will identify where the data node will store its metadata. Finally, Pegasus will format HDFS.

Metadata 40

Metadata Data Processing Technology Data Science 40

AWS Big Data

JULY 14, 2023

The FinAuto team built AWS Cloud Development Kit (AWS CDK), AWS CloudFormation , and API tools to maintain a metadata store that ingests from domain owner catalogs into the global catalog. This global catalog captures new or updated partitions from the data producer AWS Glue Data Catalogs.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

Cloudera

NOVEMBER 22, 2021

Typically, organizations that leverage narrow-scope, single public cloud solutions for data processing face incremental costs as they scale to address more complex use cases or an increased number of users. Those incremental costs derive from a variety of reasons: Increased data processing costs associated with legacy deployment types (e.g.,

Data Processing 88

Data Processing Data Warehouse Enterprise Visualization 88

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. data streaming, data engineering, data warehousing etc.),

Cost-Benefit 83

Cost-Benefit Data-driven Machine Learning Data Warehouse 83

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. We cannot of course forget metadata management tools, of which there are many different.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Reports In formats that are both static and interactive, these showcase tabular views of data. Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. Ideally, your primary data source should belong in this group. addresses). Do what you expect your customers to do.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52