Snowflake

FEBRUARY 5, 2024

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. They’ll prioritize data solutions that work across clouds.

Unstructured Data 126

Unstructured Data Banking Government Insurance 126

Data Engineering Podcast

MARCH 18, 2023

Summary As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. He also explains why data security is distinct from application security and some methods for reducing the challenge of working across different data systems.

Data Security 130

Data Security Machine Learning Data Science Metadata 130

Ascend.io

DECEMBER 4, 2024

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. In this blog post, we’ll explore key strategies that data teams should adopt to prepare for the year ahead.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Ascend.io

DECEMBER 4, 2024

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. In this blog post, we’ll explore key strategies that data teams should adopt to prepare for the year ahead.

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Data Engineering Podcast

FEBRUARY 19, 2023

TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. What do you have planned for the future of Iceberg/Tabular?

IT 147

IT Data Lake Metadata Data Warehouse 147

Snowflake

JANUARY 19, 2023

CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.

Data 111

Data Data Governance Data Architecture Technology 111

ProjectPro

JULY 3, 2015

There are some tech buzzwords like SAP that have been more predominant than “Big Data” Companies can analyse structured big data in real time with in-memory technology. solutions with in-memory technology store data in the working memory instead of the hard drive making it easier for processing, evaluation and use.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

Cloudera

APRIL 19, 2022

To be successful, the use of data insights must become a central lifeforce throughout an organisation and not just reside within the confines of the IT team. More importantly, effective data strategies don’t stand still. In fact, they often lead to the majority of an organisation’s data remaining untapped and stagnant. .

Big Data 93

Big Data Government Data Accessible 93

The Modern Data Company

APRIL 12, 2023

The critical component of this approach is predictive analytics — analyzing big data gathered from patients, consumers, and research to provide actionable insights about a patient’s current and future healthcare needs. Resistance to Change Healthcare organizations can be slow to adopt new technologies.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?

Technology 40

Technology NoSQL Hadoop Data Mining 40

Cloudera

AUGUST 3, 2021

Point solutions promote themselves as being specialists in specific business process areas and the preferred solution – data warehousing, machine learning as examples. Open source technologies enable extensibility, flexibility, and avoidance of vendor lock-in, regardless of where the data is stored and workloads are run.

Manufacturing 111

Manufacturing Retail Government Entertainment 111

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. It is labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. billion by 2020. billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. As data engineers we are responsible for building and managing the platforms that power these models. Managing and auditing access to your servers and databases is a problem that grows in difficulty alongside the growth of your teams.

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

Towards Data Science

MAY 19, 2023

Business users are unable to find and access data assets critical to their workflows. Data engineers spend countless hours troubleshooting broken pipelines. So what does Entropy look like in the context of a data platform? Siloed Data. Do any of the below scenarios seem familiar?

Pipeline-centric 104

Pipeline-centric Data Software Engineer Software Engineering 104

Cloudera

NOVEMBER 25, 2021

These modern digital businesses are also dealing with unprecedented rates of data volume, which is exploding from terabytes to petabytes and even exabytes which could prove difficult to manage. Cloudera and AWS: Harnessing the Power of Data and Cloud . Common Use Cases for Cloud and Data Solutions . The Power of Two.

Amazon Web Services 90

Amazon Web Services Cloud AWS Machine Learning 90

U-Next

NOVEMBER 25, 2022

Digital HR refers to using technology, including software and apps, to improve how a company manages its employees. 81% of HR professionals admit that they have not yet adjusted their workforce management practices to accommodate changes in technology . Technology skills are essential for today’s workforce.

Recruitment 83

Recruitment Media Certification Technology 83

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Meta-Orchestration . Other Vendors Talking DataOps.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

The Modern Data Company

JANUARY 22, 2024

The central piece to this narrative is DataOS®, Modern’s state-of-the-art data operating system designed to unify data across silos on a scalable level. While traditional approaches involve piecing together disparate data products, DataOS® offers a composable framework that seamlessly integrates with existing technology stacks.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Snowflake

AUGUST 22, 2023

“The future is what you make it,” declared Sheila Jordan , Chief Digital Technology Officer at Honeywell, in the opening keynote of this year’s Snowflake Summit keynote. One way Honeywell “makes the future” is by developing innovative data products. Metadata and data should be easy to find for both humans and computers.

Metadata 97

Metadata Data AWS Business Analyst 97

Cloudera

NOVEMBER 18, 2021

Every one of our 22 finalists is utilizing cloud technology to push next-generation data solutions to benefit the everyday people who need it most – across industries including science, health, financial services and telecommunications. The Cloudera technology has also enabled Bank of the West to experiment and scale faster.

Banking 77

Banking Data Lake Telecommunication Data 77

Cloudera

JULY 29, 2022

Corporations are generating unprecedented volumes of data, especially in industries such as telecom and financial services industries (FSI). However, not all these organizations will be successful in using data to drive business value and increase profits. Is yours among the organizations hoping to cash in big with a big data solution?

Data Architecture 89

Data Architecture Architecture Unstructured Data Government 89

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 26, 2023

According to the Cybercrime Magazine, the global data storage is projected to be 200+ zettabytes (1 zettabyte = 10 12 gigabytes) by 2025, including the data stored on the cloud, personal devices, and public and private IT infrastructures. In other words, they develop, maintain, and test Big Data solutions.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Knowledge Hut

DECEMBER 29, 2023

The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

NOVEMBER 17, 2023

Both technologies offer predefined configurations with a specified amount of network, RAM, and virtual CPU. Object Storage, also known as distributed object storage, is hosted services used to store and access a large number of blobs or binary data. This helps in preventing unwanted access.

Google Cloud 98

Google Cloud AWS Cloud Cloud Computing 98

The Modern Data Company

JANUARY 22, 2024

The central piece to this narrative is DataOS®, Modern’s state-of-the-art data operating system designed to unify data across silos on a scalable level. While traditional approaches involve piecing together disparate data products, DataOS® offers a composable framework that seamlessly integrates with existing technology stacks.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Precisely

MARCH 14, 2023

New technologies are making it easier for customers to process increasingly large datasets more rapidly. And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Cloud-native data execution is just the beginning. Bigger, better results.

Data Integration 52

Data Integration High Quality Data BI Data 52

Cloudera

DECEMBER 8, 2020

We have accomplished this significant improvement through supporting the deployment of the Cloudera Data Platform (CDP) Private Cloud Base on FIPS mode enabled RedHat Enterprise Linux (RHEL) and CentOS Operating Systems (OS), as well as through the use of FIPS 140-2 validated encryption modules. .

Government 66

Government Java Cloud Algorithm 66

Towards Data Science

FEBRUARY 9, 2024

Viewing Data Lakes as a strategy rather than a product emphasizes their role as a staging area for structured and unstructured data, potentially interacting with Data Warehouses. There are many ideas in this article but ultimately the choice is yours.

Building 98

Building Transportation Data Lake Metadata 98

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with. billion by 2026.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Striim

DECEMBER 12, 2023

Exciting news is on the horizon as Striim proudly announces its Technology Partnership with YugabyteDB, a collaboration set to reshape the landscape of data management. As we embark on this thrilling journey, we share a vision of empowering organizations with the tools they need to thrive in a data-driven world.

Data Management 59

Data Management Database-centric Management PostgreSQL 59

Cloudera

FEBRUARY 1, 2024

This applies to modern generative AI solutions that are particularly reliant on trusted, accurate, and context-specific data. The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations.

Cloud 82

Cloud Architecture Utilities Designing 82

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Snowflake

JUNE 13, 2023

Learn how tesa, one of the world’s leading manufacturers of adhesive tapes and self-adhesive product solutions, combines more than 30 datasets to improve operations and take advantage of IoT technology – all through Snowflake’s Data Cloud. We can load and transform data much faster than before.”

Cloud 52

Cloud Manufacturing Datasets Scala 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

NOVEMBER 2, 2023

This article will discuss the differences between the Azure data engineer vs Azure devops engineer job titles in order to give you some valuable insights into these careers to provide clarity regarding which one would be a better fit for you. Who is an Azure Data Engineer? Who is an Azure DevOps Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Striim

AUGUST 31, 2023

The goal of kappa architecture is to reduce the cost of data integration by providing an efficient and real-time way of managing large datasets. In summation, kappa architectures offer immense advantages for those looking to reduce their data integration costs while using cutting edge technologies.

Data Integration 69

Data Integration Architecture Amazon Web Services Machine Learning 69