IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

IBM Big Data Hub

DECEMBER 16, 2022

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

AWS Big Data

JULY 28, 2023

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. The term data mesh refers to a data architecture with decentralized data ownership.

Big Data 83

Big Data Data Architecture Data Lake Interactive 83

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving.

Data Lake 107

Data Lake Metadata Snapshot Recreation/Entertainment 107

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

CDW Research Hub

JULY 18, 2022

One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform. Cost reduction and best business practices. Overall data architecture and strategy. Your consumption and query performance. Workload discovery. Optimizing Snowflake functionality.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. It helps engineers, analysts and businesses access the most up-to-date release of the software asset that bring accuracy to the decision-making process. To help address its clients’ growing cloud needs, Huron is an AWS Partner.

Metadata 52

Metadata Dashboards Visualization Consulting 52

IBM Big Data Hub

JUNE 8, 2023

Having a well-designed data architecture and fact-based data can help with understanding performance and measuring progress against broad-based operational and ESG goals. Insights generated from this data can help organizations further their ESG programs as well as drive operational efficiency.

Technology 80

Technology Measurement Cost-Benefit Data-driven 80

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

CDW Research Hub

JULY 22, 2019

These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake. With Snowflake, you can store, transform and analyze structured and semi-structured data together.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Statistics 97

Statistics Metrics Visualization Finance 97

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Data Virtualization

MARCH 3, 2021

To remain competitive, organizations must have a data management strategy in place to effectively ingest, store, organize, and analyze data while ensuring that it is. The post Data Management Challenges for the Modern Enterprise appeared first on Data Virtualization blog.

Enterprise 75

Enterprise Management Strategy Data Lake 75

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

TDAN

NOVEMBER 30, 2021

This blog is the first sneak preview of what we believe […]. It is a tale of emergence and synchronicity. So far, everyone we’ve reviewed our tentative findings with is enthused and eager for us to finish our experiments and publish.

Publishing 52

Publishing IT Data Architecture Business Intelligence 52

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level. Choose Create bucket.

Data Lake 83

Data Lake Data Governance Cost-Benefit Machine Learning 83

TDAN

DECEMBER 3, 2019

MSBI & power BI are both well-known administrations in the Business Intelligence world now. It concentrates, transforms & loads data, can sort out and imagine multidimensional information, whereas, […]. In this way, here’s an article looking at both, MSBI versus Power BI, for your audience.

Business Intelligence 40

Business Intelligence Data Architecture IT Big Data 40

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

TDAN

FEBRUARY 16, 2021

While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. With the new year events well behind us, we’re steadily focused on moving forward in 2021.

Technology 145

Technology Optimization Management Data Architecture 145

TDAN

NOVEMBER 17, 2020

Top-quality data currently represents one of the most important resources for any company. This is especially true for young businesses that don’t have much experience in their market and that still don’t know enough about their customers.

Data Science 145

Data Science Marketing Data Architecture Data Strategy 145

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 90

Data-driven Advertising Metadata Data Architecture 90

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. In this post, we use Athena to convert the data.

Data Lake 98

Data Lake Data Warehouse Metadata Data Architecture 98

TDAN

OCTOBER 5, 2022

The current decade will see the most rapid technological advancements in history: emergence of new technology and faster development of existing technology. One of the technologies that is expected to grow is the Internet of Things (IoT).

IoT 52

IoT Internet of Things Statistics Technology 52

TDAN

DECEMBER 20, 2022

Your security team has plenty of challenges, but securing and protecting your data with consistent, granular, and automated enforcement across your hybrid cloud data estate shouldn’t be one of them.

Data Architecture 52

Data Architecture Data Strategy Business Intelligence Strategy 52

TDAN

SEPTEMBER 7, 2022

Insightful and accurate data is the lifeblood of any successful business. Without it, you may find yourself missing out on opportunities or dissatisfaction from your customers— not what we want at all!

Sales 52

Sales Data Quality Data Architecture IT 52

TDAN

MAY 3, 2022

The road to creating business value through a well-oiled data management strategy can be long and challenging. A successful data management strategy is one that generates value rapidly and unlocks new data-driven insights.

Analytics 52

Analytics Data-driven Strategy Management 52

TDAN

FEBRUARY 15, 2022

Most large technology businesses collect data from their consumers in a variety of methods, and the majority of the time, this data is in its raw form. However, when data is presented in an understandable and accessible style, it may assist and drive business requirements.

Technology 52

Technology IT Data Architecture Business Intelligence 52

AWS Big Data

SEPTEMBER 7, 2023

Customers want to know how their data is being accessed, when it is being accessed, and who is accessing it. With exponential growth in data volume, centralized monitoring becomes challenging. It is also crucial to audit granular data access for security and compliance needs. Big Data Architect.

Metadata 104

Metadata Dashboards Metrics Visualization 104

TDAN

FEBRUARY 18, 2020

A few months back, our company enjoyed a retreat a few hours north of the city. We bonded, brainstormed, and set visions and goals for the development of our company and our products. We also had bonfires with s’mores, and that’s more relevant than you might think. We ended up with a surplus of marshmallows […].

Data Architecture 85

Data Architecture Data Strategy Big Data Strategy 85

TDAN

DECEMBER 31, 2019

LIDAR is a remote detecting innovation that utilizes the beat from a laser to gather data that measures and makes 3D models and maps of inaccessible articles and conditions. A LIDAR framework works in a way that is similar to radar and sonar yet rather than sound or radio waves, it utilizes light waves from […].

Measurement 52

Measurement Modeling Data Architecture IT 52

TDAN

APRIL 16, 2019

The physician job has become less and less focused on patients, and more and more preoccupied with the administrative and data-entry tasks that require attention and time.

Data Strategy 55

Data Strategy Data Architecture Business Intelligence Big Data 55

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data. Why did Orca choose Apache Iceberg?

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

IBM Big Data Hub

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. This includes the deduplication of datasets, so that multiple data entries don’t unintentionally exist in multiple locations. appeared first on IBM Blog.

Data Quality 66

Data Quality Data Integration Metadata Cost-Benefit 66

Alation

APRIL 14, 2022

A cloud environment with such features will support collaboration across departments and across common data types, including csv, JSON, XML, AVRO, Parquet, Hyper, TDE, and more. It’s More Important to Know What Your Data Means Than Where It Is. On-premises business intelligence and databases. Subscribe to Alation's Blog.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. Metadata plays a key role here in discovering the data assets.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This results in more marketable AI-driven products and greater accountability.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62