Smart Data Collective

AUGUST 25, 2020

Web developers utilized data to some capacity as well, but marketers rarely considered doing so. Big data has become critical to the evolution of digital marketing. Digital marketers can use data mining tools to assist them in a number of ways. One of the most overlooked factors is metadata.

Data mining 110

Data mining Metadata Big Data ROI 110

CIO Business Intelligence

OCTOBER 13, 2023

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

AWS Big Data

APRIL 16, 2024

Running Apache Airflow at scale puts proportionally greater load on the Airflow metadata database, sometimes leading to CPU and memory issues on the underlying Amazon Relational Database Service (Amazon RDS) cluster. A resource-starved metadata database may lead to dropped connections from your workers, failing tasks prematurely.

Metadata 92

Metadata Metrics Testing Management 92

AWS Big Data

JANUARY 24, 2024

More data files leads to more metadata stored in manifest files, and small data files often cause an unnecessary amount of metadata, resulting in less efficient queries and higher Amazon S3 access costs. The output will give a count of the number of data and metadata files deleted.

Snapshot 96

Snapshot Data Lake Metadata Optimization 96

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. We split the solution into two primary components: generating Spark job metadata and running the SQL on Amazon EMR. The script generates a metadata JSON file for each step.

Metadata 76

Metadata Testing Data Lake Consulting 76

erwin

JANUARY 14, 2021

As the economy slowed, they focused on cost optimization. When the pandemic first hit, there was some negative impact on big data and analytics spending. Digital transformation was accelerated, and budgets for spending on big data and analytics increased. However, the economic situation changed as time went on.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 113

Data Lake Data Processing Metadata Snapshot 113

AWS Big Data

MARCH 29, 2024

Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. Data Firehose uses an AWS Lambda function to transform data and ingest the transformed records into an Amazon Simple Storage Service (Amazon S3) bucket. In his spare time, he enjoys cycling with his new road bike.

Metrics 101

Metrics Visualization Dashboards Interactive 101

IBM Big Data Hub

OCTOBER 4, 2022

Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. ( This is due to: An inability to access the right data. Platforms and practices not optimized for AI. IBM Global AI Adoption Index 2022.). What is stopping AI adoption today?

Metadata 101

Metadata Risk Risk Management Experimentation 101

AWS Big Data

JUNE 15, 2023

AWS Glue crawlers provide a straightforward way to catalog data in the AWS Glue Data Catalog that removes the heavy lifting when it comes to schema management and data classification. AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current.

Data Lake 84

Data Lake Metadata Cost-Benefit Management 84

AWS Big Data

APRIL 25, 2024

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. By isolating workloads with specific security requirements or compliance needs, organizations can maintain the highest levels of data privacy and security. secretsmanager ).

Metadata 100

Metadata Data Processing Management Testing 100

AWS Big Data

MARCH 25, 2024

Tags are key-value metadata that can be associated with AWS service resources. About the Authors Chinmayi Narasimhadevara is a is a Solutions Architect focused on Big Data and Analytics at Amazon Web Services. Resource tags MSK Connect now also has support for resource tags.

Management 79

Management Metadata Reporting Big Data 79

CIO Business Intelligence

MARCH 24, 2023

Data governance principles According to the Data Governance Institute, eight principles are at the center of all successful data governance and stewardship programs: All participants must have integrity in their dealings with each other. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 110

Optimization Snapshot Metadata Cost-Benefit 110

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Formerly known as Periscope, Sisense is a business intelligence tool ideal for cloud data teams.

Business Intelligence 134

Business Intelligence Dashboards Visualization Big Data 134

CIO Business Intelligence

DECEMBER 13, 2023

Unlike that energy company, many organizations have yet to feel an urgency to capitalize on the value of their vast reservoirs of unstructured data. After all, we in the information management and technology industry have talked at length about unstructured data since “Big Data” was big news more than a decade ago.

Unstructured Data 97

Unstructured Data IoT Metadata Manufacturing 97

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

APRIL 2, 2024

You can see the decompressed data has metadata information such as logGroup , logStream , and subscriptionFilters , and the actual data is included within the message field under logEvents (the following example shows an example of CloudTrail events in the CloudWatch Logs).

Metadata 81

Metadata Marketing Analytics Data Transformation 81

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files.

Snapshot 72

Snapshot Metadata Data Warehouse Testing 72

IBM Big Data Hub

NOVEMBER 21, 2023

Apache Kafka transfers data without validating the information in the messages. It does not have any visibility of what kind of data are being sent and received, or what data types it might contain. Kafka does not examine the metadata of your messages. Optimize your Kafka environment by using a schema registry.

Data Quality 104

Data Quality Metadata Data-driven Optimization 104

IBM Big Data Hub

APRIL 28, 2022

A data fabric can simplify data access in an organization to facilitate self-service data consumption, while remaining agnostic to data environments, processes, utility and geography.

Metadata 84

Metadata Data Warehouse Forecasting Predictive Modeling 84

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

IBM Big Data Hub

MAY 9, 2023

The resulting automation drives scalability and accountability by capturing model development time and metadata, offering post-deployment model monitoring, and allowing for customized workflows. This solution is designed to include everything needed to develop a consistent transparent model management process.

Metadata 77

Metadata Risk Experimentation Dashboards 77

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Semi-structured data falls between the two. Data scientist skills.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

Smart Data Collective

JANUARY 5, 2021

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. These are all great reasons to use big data in marketing. But for accurate modeling, you need lots of reliable data.

B2B 127

B2B Sales Marketing Big Data 127

IBM Big Data Hub

AUGUST 24, 2022

Remote runtime data integration as-a-service execution capabilities for on-premises and multi-cloud execution. Multi-directional data movement topology with high volume and low-latency integration. Support for data governance. Metadata exchange with third party metadata management and governance tools.

Data Integration 85

Data Integration Metadata Data-driven Data Architecture 85

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 109

Data Lake Analytics Dashboards Metrics 109

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings.

Statistics 97

Statistics Data Lake Optimization Data-driven 97

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 98

Data Lake Sales Data Warehouse Snapshot 98

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Track models and drive transparent processes.

Risk 76

Risk Modeling Management Metadata 76

Smart Data Collective

MARCH 19, 2023

Many different industries are growing due to the proliferation of big data. ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. Glen states that a data review can help you understand if your dropshipping company is profitable.

Predictive Analytics 128

Predictive Analytics Analytics Manufacturing Advertising 128

IBM Big Data Hub

FEBRUARY 14, 2024

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

AWS Big Data

JANUARY 17, 2024

Incremental query refers to a query strategy that focuses on processing and analyzing only the new or updated data within a data lake since the last query. The key idea behind incremental queries is to use metadata or change tracking mechanisms to identify the new or modified data since the last query.

Data Lake 89

Data Lake Snapshot Big Data Data-driven 89