In(tegrate) the Clouds

JUNE 23, 2016

This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses.

Data Integration 49

Data Integration Data Lake Data Warehouse Data-driven 49

Rocket-Powered Data Science

JULY 6, 2021

So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. That is, use AI and machine learning techniques on digital content (databases, documents, images, videos, press releases, forms, web content, social network posts, etc.)

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. Both the user data and logs buckets must be in the same AWS Region and owned by the same account. Big Data Architect.

Metadata 101

Metadata Dashboards Metrics Visualization 101

AWS Big Data

MARCH 14, 2024

The unwavering reliability of Kafka aligns with our commitment to data integrity. The integration of Ruby services with Kafka is streamlined through the Karafka library, acting as a higher-level wrapper. Dynamic partitioning and consistent ordering ensure efficient message organization.

Management 109

Management Insurance Optimization Strategy 109

AWS Big Data

MAY 21, 2024

The following figure provides an example data schema of the SQL Server database. To enhance search capabilities in OpenSearch Service, the team merged all these disparate data elements into a single, comprehensive JSON document.

Manufacturing 98

Manufacturing Sales Optimization Data Processing 98

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 97

Analytics Visualization Data Integration Cost-Benefit 97

IBM Big Data Hub

JANUARY 9, 2024

This may also entail working with new data through methods like web scraping or uploading. Data governance is an ongoing process in the data lifecycle to help ensure compliance with laws and company best practices. Data integration: These tools enable companies to combine disparate data sources into one secure location.

Enterprise 73

Enterprise Data Integration Data Quality Contextual Data 73

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Data-related decisions, processes, and controls subject to data governance must be auditable.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

APRIL 17, 2024

In this post, we discuss how the reimagined data flow works with OR1 instances and how it can provide high indexing throughput and durability using a new physical replication protocol. We also dive deep into some of the challenges we solved to maintain correctness and data integrity.

Optimization 115

Optimization Snapshot Metadata Cost-Benefit 115

IBM Big Data Hub

JANUARY 17, 2024

Strong encryption algorithms like AES effectively transform plaintext into ciphertext, ensuring that even if an unauthorized party gains access, they won’t be able to decrypt sensitive data without access to the authorized users’ encryption key. Data integrity Cryptography is also used to ensure the integrity of data.

Data Integration 84

Data Integration Management Consulting Dashboards 84

Cloudera

JUNE 1, 2021

After all, we invented the whole idea of Big Data. So what’s our next big idea? Well, at Cloudera, we envision a world where everyone can quickly and easily access the data-powered information and insights they need – in just a few clicks. . Open source matters. And only Cloudera delivers on every dimension.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

AWS Big Data

OCTOBER 20, 2023

Regarding the Azure Data Lake Storage Gen2 Connector, we highlight any major differences in this post. AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. Learn more in README.

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

AWS Big Data

NOVEMBER 29, 2023

It enables data engineers, data scientists, and analytics engineers to define the business logic with SQL select statements and eliminates the need to write boilerplate data manipulation language (DML) and data definition language (DDL) expressions. 11:41:51 Registered adapter: glue=1.7.1 He works based in Tokyo, Japan.

Data Lake 104

Data Lake Management Metrics Data Warehouse 104

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. It also can populate and maintain Big Data sets by generating PIG, Scoop, MapReduce, Spark, Python scripts and more.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

AWS Big Data

OCTOBER 5, 2023

In today’s data-driven world, the ability to effortlessly move and analyze data across diverse platforms is essential. Amazon AppFlow , a fully managed data integration service, has been at the forefront of streamlining data transfer between AWS services, software as a service (SaaS) applications, and now Google BigQuery.

Data Warehouse 87

Data Warehouse Machine Learning Data Integration Data-driven 87

AWS Big Data

MAY 3, 2023

Modernizing applications involves changing the underlying database engine to a modern document-based database like MongoDB. These two tasks (building data lakes or data warehouses and application modernization) involve data movement, which uses an extract, transform, and load (ETL) process.

Data Lake 80

Data Lake Data Warehouse Data-driven Optimization 80

IBM Big Data Hub

JULY 7, 2023

When knowledge workers leave the company, businesses face another challenge—finding a way to document, share and retain their knowledge to extend its benefits throughout the company. Business analytics: Data and insights help knowledge workers make informed decisions and find new opportunities.

Cost-Benefit 66

Cost-Benefit Consulting Management Data-driven 66

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

AWS Big Data

APRIL 6, 2023

One the major advantages of using the _reindex operation is that it doesn’t require placing the source index in a read-only mode (data producers may continue to write the data while reindexing is in progress). With the _reindex operation, you can copy all or a subset of documents that you select through a query to another index.

Snapshot 86

Snapshot Recreation/Entertainment Strategy Metrics 86

Ontotext

JUNE 15, 2023

Big Data: With the growth of big data, traditional relational databases have become less effective at handling complex and interconnected data. Kafka is a scalable, fault-tolerant system for processing and storing such data and can be used to reliably import data into GraphDB.

Machine Learning 52

Machine Learning Data Integration Big Data Testing 52

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions. Choose the Data quality tab.

Data Quality 77

Data Quality Data Lake Data-driven Metrics 77

erwin

MAY 27, 2020

They should automatically generate data models , providing a simple, graphical display to visualize a wide range of enterprise data sources based on a common repository of standard data assets through a single interface. Data governance should be integrated throughout the data modeling process.

Modeling 98

Modeling Metadata Data Governance Visualization 98

O'Reilly on Data

MARCH 20, 2019

Data integrity constraints: Many databases don’t allow for strange or unrealistic combinations of input variables and this could potentially thwart watermarking attacks. Applying data integrity constraints on live, incoming data streams could have the same benefits. Disparate impact analysis: see section 1.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. This connector enables your data to be portable across Google Cloud Storage and Amazon S3.

Big Data 85

Big Data Software Consulting Unstructured Data 85

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

erwin

FEBRUARY 19, 2021

Automated enterprise metadata management provides greater accuracy and up to 70 percent acceleration in project delivery for data movement and/or deployment projects. It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

Cost-Benefit 78

Cost-Benefit Metadata Data Governance Modeling 78

AWS Big Data

JULY 25, 2023

About Talend Talend is an AWS ISV Partner with the Amazon Redshift Ready Product designation and AWS Competencies in both Data and Analytics and Migration. Talend Cloud combines data integration, data integrity, and data governance in a single, unified platform that makes it easy to collect, transform, clean, govern, and share your data.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. To learn more about AWS Glue, check out AWS Glue Documentation.

Testing 73

Testing Data Integration Data Lake Enterprise 73

Smart Data Collective

JANUARY 21, 2021

Moreover, harmful software introduced by “ black hats ” can destroy the hardware of all the machines belonging to a company, and that is why almost half of the cases of data loss occur due to hardware failures. Those who wish to protect their data fully use several backup solutions at once.

Strategy 125

Strategy Risk Software Enterprise 125

IBM Big Data Hub

JANUARY 26, 2024

This has changed the traditional on-site maintenance approach where personnel used to run to the data room to flip through the information; adopting the intelligent positioning of maintenance data through on-site scope helps promote transparency, standardize the maintenance management, and automate the maintenance method.

Cost-Benefit 73

Cost-Benefit Enterprise Technology KPI 73

Smart Data Collective

APRIL 15, 2021

Most will include documentation of data sources, the KPIs of the specific industry, the kind of reporting necessary, and whether or not the data flow will require automation. Set Up Data Integration. Depending on the industry, a BI strategy will require a variety of aspects.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

erwin

FEBRUARY 4, 2021

It uncovered a number of obstacles that organizations have to overcome to improve their data operations. 1 bottleneck, according to 62 percent of respondents, was documenting complete data lineage. Automate code generation : Alleviate the need for developers to hand code connections from data sources to target schema.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

erwin

JANUARY 17, 2020

Therefore, the right approach to data modeling is one that allows users to view any data from anywhere – a data governance and management best practice we dub “any-squared” (Any 2 ). The Advantages of NoSQL Data Modeling. They’re better at dealing with other non-relational data too. What is Data Modeling?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

AWS Big Data

MAY 16, 2024

You can use any other endpoint in the REST API to enable programmatic control, automation, integration, and management of Airflow workflows and resources. To learn more about the Airflow REST API and its various endpoints, refer to the Airflow documentation. Big Data and ETL Solutions Architect, MWAA and AWS Glue ETL expert.

Testing 91

Testing Interactive Metrics Management 91