Cloudera

NOVEMBER 9, 2023

Cloudera Operational Database (COD) is a high-performance and highly scalable operational database designed for powering the biggest data applications on the planet at any scale. Powered by Apache HBase and Apache Phoenix, COD ships out of the box with Cloudera Data Platform (CDP) in the public cloud. CDH: 7.2.14.2 CDH: 7.2.14.2

Cloud Storage 73

Cloud Storage Database Cloud AWS 73

DataKitchen

DECEMBER 6, 2022

The document they wrote is exceptionally close to what we see in the market and what our products do ! The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. T est Automation : Business rules validation, test scripts management, test data management. What is missing?

Data Lake 52

Data Lake Hadoop Government Data Analytics 52

Data Engineering Weekly

MARCH 3, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Rockset

MARCH 24, 2022

Companies are adopting streaming data, they are dealing with greater volumes and amounts of data, and more of them are working with diverse third party vendors to receive data. In fact, you can describe big data from many different sources by these five characteristics: volume, value, variety, velocity and veracity.

Non-relational Database 52

Non-relational Database Relational Database Database Data Pipeline 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Why should data engineers care about this?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

I am now delighted to have the privilege of returning to the task of collecting for you the most exciting news from the world of data engineering. I’ll offer my impressions of recent developments in the data engineering space and highlight new ideas from the wider community. Why should data engineers care about this?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

NOVEMBER 19, 2023

It is a computing model based on the internet and it provides on-demand data and shared computer processing to computers and devices. Cloud computing has enabled enterprises and users to store and process data in third-party data storage centers. With cloud computing, a pool of computing resources can be shared and accessed.

Certification 98

Certification Cloud Computing Amazon Web Services AWS 98

Knowledge Hut

FEBRUARY 6, 2024

A methodology that integrates development (Dev) and operations (Ops) teams, historically separated. Promote the adoption of a product-centered mentality by teams and managers. Expected changes take a long time to move into Production. A pioneering innovation mindset focused on agility in Dev and automation in Ops.

Architecture 52

Architecture Coding Process Project 52

Monte Carlo

MARCH 28, 2024

While the DevOps methodology has been taking over the world of software development, data teams are just beginning to realize the benefits that a similar approach can bring to their world. It is a group of concepts that can be put into practice where there is data. Enter the nascent discipline of DataOps.

Data Pipeline 52

Data Pipeline Coding Machine Learning Data Warehouse 52

Cloudera

SEPTEMBER 30, 2022

This is the first complete no-code, no-ops development experience for functions, allowing users to save time and resources. . Now, they can use DataFlow’s no-code UI to be more productive – they can quickly design new NiFi flows and then run them as functions in AWS Lambda, Azure Functions, and Google Cloud Functions.

Google Cloud 80

Google Cloud AWS Cloud Coding 80

U-Next

MARCH 1, 2023

AI propels the car in congested traffic and hazardous road conditions. Applications Autonomous Vehicles Line following Robots Product Recommendation Systems The rise of web services like Netflix, Amazon, and YouTube has increased the use of recommender systems in our daily lives. However, despite significant advances in this field.

Project 96

Project Medical Banking Healthcare 96

Scribd Technology

FEBRUARY 4, 2024

Machine Learning Platforms (ML Platforms) have the potential to be a key component in achieving production ML at scale without large technical debt, yet ML Platforms are not often understood. The stream-aligned team maintains full ownership of building, running, and fixing their application in production.

Machine Learning 40

Machine Learning Software Engineer Software Engineering AWS 40

U-Next

SEPTEMBER 23, 2022

As one of the typically overlooked and underappreciated departments within an organization, data becomes the driving force behind the strategy, best practices become the guide for training, and technology becomes the hack to success. . For instance, meeting sales targets in upcoming quarters by managing the sales pipeline.

Process 52

Process Data Analysis Technology Data Preparation 52

Knowledge Hut

APRIL 9, 2024

DevOps is a set of practices that combines software development (Dev) and information-technology operations (Ops) to shorten the time it takes to deliver applications and services. If there are no errors, it is then deployed to a staging environment where it can be further tested before being pushed to production. What i s DevOps ?

Coding 52

Coding Government Process Systems 52

Data Engineering Podcast

NOVEMBER 20, 2021

Summary The technology for scaling storage and processing of data has gone through massive evolution over the past decade, leaving us with the ability to work with massive datasets at the cost of massive complexity. Missing data? Start trusting your data with Monte Carlo today! Struggling with broken pipelines? Stale dashboards?

Data Warehouse 100

Data Warehouse Data Lake BI Business Intelligence 100

Knowledge Hut

JULY 3, 2023

Operations management research which includes project management in operations research, aims to encourage teams to use advanced analytical tools and techniques to synthesize informed and yielding decisions that are based on quantitative data, also helping to mitigate several project risks and challenges. Why is Operation Research Important?

Project 98

Project Management Algorithm Consulting 98

Cloudera

DECEMBER 21, 2021

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. Data pipelines are composed of multiple steps with dependencies and triggers.

Data Engineering 118

Data Engineering Data Engineer Engineering Data Pipeline 118

Snowflake

APRIL 17, 2023

At the time, I was an analyst at Forrester Research, researching and advising companies on how to enter the data economy. I’d already been beating that drum for years at that point, with reports like It’s Time to Take Your Data to Market and Data Commercialization: The Tech Leader’s Guide to Taking Data to Market.

Retail 69

Retail Metadata Cloud Data Warehouse 69

Rockset

OCTOBER 15, 2021

No, you don’t have to requisition hardware and operate your own data center with an IaaS database. If you’re comfortable managing your database but are transitioning to avoid managing your own data center, IaaS may be all you need. However, with a lower ops burden, this may still be the most affordable option for many teams.

Database 52

Database Cloud Cloud Computing MongoDB 52

Rockset

OCTOBER 6, 2022

Consequently, we needed a data backend with the following characteristics: Scale With ~50 commits per working day (and thus at least 50 pull request updates per day) and each commit running over one million tests, you can imagine the storage/computation required to upload and process all our data. What did we use before Rockset?

AWS 52

AWS Data Schemas Accessible Accessibility 52

Grouparoo

AUGUST 3, 2020

So you have data in your product database and you need to synchronize it with something else. Maybe it is more of an ETL thing and you need to move the data into Redshift or Snowflake. A sync engine monitors a source (your product database) for changes in order to process them in some way (update an external system).

Engineering 52

Engineering Building MySQL Database 52

Knowledge Hut

JANUARY 3, 2024

Azure Data Engineer Azure Data Engineers are experts in the design and implementation of data solutions on Azure. Using Azure services, they create, manage, and optimize data pipelines, databases, and data warehouses. Master of Science in Computer Science, Data Science ) for more advanced or specialized roles.

Cloud Computing 52

Cloud Computing Recruitment Computer Science Education 52

Rockset

MARCH 25, 2022

Summary: PCH International is a leading hardware manufacturer with global operations that requires ultra-fast analysis of huge volumes of streaming data. The existing data infrastructure built on MongoDB and DynamoDB couldn’t support real-time querying of data. Slow Ingestion and Queries Collecting the data was one thing.

Manufacturing 52

Manufacturing MongoDB Retail Data Warehouse 52

Cloudera

NOVEMBER 1, 2021

He educates Cloudera’s customers and clients in Dev Ops, Admin and Security and Data Engineering. I asked William what he is most proud of while working at Cloudera and he told me about his participation in the development of Cloudera Deploy used in implementing Cloudera’s core products and featured in Cloudera Labs.

Education 91

Education Professional Services Government Technology 91

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

Banking 52

Banking Machine Learning Insurance Data Architecture 52

Knowledge Hut

MARCH 15, 2024

Based on my extensive professional experience, I have observed this role's critical significance in protecting organizations against possible data intrusions and substantial regulatory penalties. This takes great technical skill, unshakable devotion, and a deep grasp of the Payment Card Industry Data Security Standard.

Management 52

Management Banking Certification Computer Science 52

Data Engineering Weekly

NOVEMBER 6, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Thanks to David Jayatillake for setting up data-folks.masto.host.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Knowledge Hut

NOVEMBER 28, 2023

Intern software developer jobs in the USA typically involve working on a team to develop and maintain software products. Additionally, they may be involved in the planning and execution of software development projects and work closely with other departments such as product management and QA.

Programming Language 52

Programming Language Amazon Web Services Computer Science Software Engineer 52

Knowledge Hut

MARCH 29, 2024

By analyzing salary data from leading companies and prominent cities, individuals can glean valuable insights into the financial landscape of pursuing a career in operations specialization. Experience This is vital in determining an OPS specialist's salary. Data analysis and communication skills can also command premium salaries.

Retail 52

Retail Certification Data Analysis Banking 52

Ascend.io

JUNE 21, 2023

Creating business value from the onslaught of data can feel like captaining a high-tech vessel through uncharted waters. Data teams across business areas are cranking out data sets in response to impatient business requests, while simultaneously trying to build disparate DataOps processes from scratch.

Pipeline-centric 52

Pipeline-centric Data Pipeline Metadata Data 52

Rockset

JANUARY 31, 2023

billion job descriptions from 150 countries 3 trillion unique skill combinations required for current and future jobs Our database ingests 16 TB of data every day from job postings scraped by our web crawlers to paid streaming data feeds. That data was processed and then loaded into our analytics and serving database, MongoDB.

MongoDB 59

MongoDB Pharmaceutical Raw Data Recruitment 59

U-Next

SEPTEMBER 5, 2022

Product Management is known as developing or enhancing the features of an already existing product or overseeing the complete life cycle and bringing in a brand new one to market. It begins with the conception of a product that caters to the customer’s need and concludes with ensuring the product successfully reaches the customer.

Management 40

Management Programming Utilities Designing 40

ProjectPro

SEPTEMBER 30, 2021

Most software applications today have sophisticated machine learning algorithms in action behind the scenes - Welcome to the world of MLOps that makes these ML models successful in production. DevOps is a composite of development (Dev) and operations (Ops). It brings us to the concept of MLOps. What is DevOps? What is MLOps?

Machine Learning 52

Machine Learning Algorithm Software Engineer Software Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Having honed your expertise in programming languages like Python, C++, TensorFlow, and PyTorch, along with exceptional data visualization skills and the ability to create machine learning models effortlessly, you might be curious about your earning potential in 2023 as a data scientist ready to leverage these skills.

Banking 52

Banking Deep Learning Amazon Web Services Computer Science 52

Monte Carlo

JANUARY 31, 2023

My co-founder has been all-in on data contracts from the start. For those unfamiliar with the hottest emerging data engineering concept of 2022, data contracts are designed not just to fix, but prevent data quality issues that arise from unexpected schema changes and data swamps. Incentives drive human behavior.

Software Engineer 52

Software Engineer Software Engineering Food Data Warehouse 52

Marc Lamberti

JULY 6, 2021

Ops, I almost forgot. If you want to create powerful data pipelines with Airflow, go check out my courses here Requirements In this very hands-on focused tutorial you are going to create a local multi-node Kubernetes cluster to deploy and run Airflow on it. This ConfigMap will export the environment variables under data.

Accessible 130

Accessible Accessibility Data Pipeline Building 130

Rockset

MARCH 21, 2019

When we started Rockset, we envisioned building a powerful cloud data management system that was really easy to use. Making the data stack simpler is fundamental to making data usable by developers and data scientists. No scaling limits – Users shouldn't have to worry about hitting a wall with their data footprint growth.

SQL 52

SQL Data Management Management Engineering 52