CIO

JANUARY 9, 2023

1] In each case, the company has volumes of streaming data and needs a way to quickly analyze it for outcomes such as greater asset availability, improved site safety and enhanced sustainability. In each case, they are taking strategic advantage of data generated at the edge, using artificial intelligence and cloud architecture.

IoT 313

IoT Technical Review Company Data 313

Dzone - DevOps

OCTOBER 24, 2023

Whether it's Connected Cars and Telematics, Smart City Infrastructure, Industrial IoT Monitoring, or Logistics Management, the combination of MQTT and Kafka enables seamless, efficient, and real-time data processing. This article will provide a demo to illustrate how MQTT and Kafka can be integrated.

IoT 52

IoT Data Infrastructure Industry 52

CIO

APRIL 12, 2023

By George Trujillo, Principal Data Strategist, DataStax I recently had a conversation with a senior executive who had just landed at a new organization. He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

Netflix Tech

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 103

Data Engineering Engineering Data Software Engineering 103

Dzone - DevOps

FEBRUARY 29, 2024

There are several steps involved in implementing a data pipeline that integrates Apache Kafka with AWS RDS and uses AWS Lambda and API Gateway to feed data into a web application. Set Up Apache Kafka Apache Kafka is a distributed streaming platform that is capable of handling trillions of events a day.

Lambda 96

Lambda AWS Data Applications 96

CIO

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. Why does every organization need it when using a modern data stack?

System 221

System Enterprise Data Cloud 221

CIO

APRIL 2, 2024

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. Value stream mapping can be an important tool to help illustrate to employees the value of their work.

Change Management 350

Change Management Technical Review Software Review SCRUM 350

TechCrunch

AUGUST 8, 2022

In a recent MuleSoft survey , 84% of organizations said that data and app integration challenges were hindering their digital transformations and, by extension, their adoption of cloud platforms. Systems, an IT consulting firm focused on data analytics. Prior to co-founding Equalum, Livneh was a full stack developer in the U.S.

Company 191

Company Data Google Cloud Cloud 191

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Artificial Inteligence 284

Artificial Inteligence Strategy Data Machine Learning 284

TechCrunch

JUNE 1, 2022

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246

Analytics DevOps Storage Business Intelligence 246

TechCrunch

FEBRUARY 23, 2022

Portland, Oregon-based startup thatDot , which focuses on streaming event processing, today announced the launch of Quine , a new MIT-licensed open source project for data engineers that combines event streaming with graph data to create what the company calls a “streaming graph.”

Engineering 190

Engineering Open Source Big Data Fintech 190

The Crazy Programmer

MAY 21, 2022

ETL (Extract, Transform and Load) pipeline process is an automated development. It takes raw data files from multiple sources, extracts information useful for analysis, transforms it into file formats that can serve business analytics or statistical research needs, and loads it into a targeted data repository.

Open Source 173

Open Source Business Analytics Storage Data 173

TechCrunch

MAY 6, 2021

It’s widely known that video streaming boomed during the pandemic, as millions of people were faced by boredom during lockdowns. But an unintended consequence of this was the growing environmental impact of millions of video streams, which meant server farms needing to draw increasing amounts of power from the grid. iSIZE , U.K.

Video 246

Video Energy Machine Learning Artificial Inteligence 246

Confluent

JANUARY 20, 2022

A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture […].

Data 62

Data Storage Architecture Analytics 62

Xebia

FEBRUARY 2, 2023

The way of working is not suitable for keeping up with the speed of the value streams. They lag and play the role of gatekeepers reducing the velocity of the value stream flows with long feedback loops and complicated learning journeys. A faster pace, less risk, and catching defects in the early stages bring more cost savings.

Culture 130

Culture DevOps Compliance Organization 130

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Data 90

Data Analysis Data Engineering Comparison 90

TechCrunch

NOVEMBER 18, 2021

In the early 2000s, most business-critical software was hosted on privately run data centers. DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers.

Enterprise 344

Enterprise Artificial Inteligence Data Engineering Data Center 344

CIO

DECEMBER 19, 2023

Also, the report stated that a comprehensive solution, robust data security and compliance systems, outstanding customer support, and continuous innovation are key success factors for hybrid cloud providers. Huawei Cloud Stack also helped Detik Network in Indonesia improve efficiency without compromising their live streaming quality.

Cloud 246

Cloud Marketing Disaster Recovery Telecommunications 246

TechCrunch

NOVEMBER 30, 2020

Materialize , the SQL streaming database startup built on top of the open source Timely Dataflow project, announced a $32 million Series B investment today led by Kleiner Perkins with participation from Lightspeed Ventures.

Open Source 180

Open Source Scalability Metrics Data 180

Confluent

JANUARY 16, 2024

Leverage Confluent and streaming data pipelines to orchestrate order fulfillment and enable efficient real-time backend operations.

Data 73

Data 73

Perficient

MARCH 23, 2023

Real-time data processing is a critical need for modern-day businesses. It involves processing data as soon as it is generated to derive insights and take immediate actions. We will also discuss deployment differences between the two frameworks and finally, provide an overview of pros & cons of Databricks Streaming vs Apache Flink.

Data 83

Data Machine Learning Artificial Inteligence Data Engineering 83

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Technology 90

Technology Data Architecture Open Source 90

CIO

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 329

Data Database Administration Data Engineering Artificial Inteligence 329

Crunchbase News

APRIL 25, 2024

With Microsoft -backed data security firm Rubrik set to enter the public market this week, talk about the rejuvenated IPO market has returned as many wonder who may be next, and when. Looking ahead Even as the IPO pipeline is thawing out, Hensley said many feel Q4 or even early 2025 may be more active. However, it is aiming for a $16.5

Marketing 68

Marketing Windows Generative AI .Net 68

Confluent

JANUARY 24, 2024

Learn why Confluent was named as a leader among cloud data pipelines, innovating, in our opinion, every industry with real-time stream processing and analytics, cloud-native Apache Kafka®, and robust developer tooling.

Cloud 57

Cloud Data Analytics Innovation 57

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. We expect complete and accurate data at the end of each run.

Data Engineering 105

Data Engineering Engineering Data Systems Review 105

Netflix Tech

NOVEMBER 29, 2023

We were, however, missing the systematic ability to measure perceptual quality ( VMAF ) of HDR streams since VMAF was limited to standard dynamic range (SDR) video signals. A vital aspect of such development is subjective testing with HDR encodes in order to generate training data.

Video 100

Video Testing Technical Review Open Source 100

TechCrunch

APRIL 19, 2022

One of the biggest challenges enterprises face is processing all the data that they gather, and — by extension — deriving insights from that data. The situation hasn’t changed much in recent years, even as companies invest greater amounts of capital in data initiatives. ” Processing data at scale. .

Enterprise 232

Enterprise Data Technical Cofounder Technical Review 232

CTOvision

APRIL 1, 2021

Qlik has deepened its partnership with Snowflake, the Data Cloud company, with the launch of a new joint solution that enables faster ingestion and on-boarding of analytics-ready SAP data to Snowflake through accelerated data pipeline creation and ongoing data streaming with Qlik Data Integration.

Analytics 133

Analytics Cloud Data Company 133

Dzone - DevOps

OCTOBER 26, 2023

Commonly known simply as Kafka, Apache Kafka is an open-source event streaming platform maintained by the Apache Software Foundation. Today, Kafka is one of the most popular event streaming platforms designed to handle real-time data feeds.

Open Source 61

Open Source Scalability Performance Software 61

Perficient

JANUARY 2, 2024

Overview of Java Streams Java introduced streams in version 8 to simplify and optimize code writing. A stream is a sequence of objects supporting various methods to achieve a desired result. Using streams can reduce a long set of codes to just a few lines. These operations drastically reduce code complexity.

Lambda 52

Lambda Performance Games Data 52

DevOps.com

SEPTEMBER 24, 2021

LogDNA is making available on a limited basis the ability to process streaming data to its observability platform as part of an effort to give DevOps teams more control over log data. The post LogDNA Previews Streaming Module for Observability Platform appeared first on DevOps.com.

DevOps 118

DevOps Data Continuous Delivery Metrics 118

Confluent

AUGUST 16, 2022

Learn how you can integrate data streams into your environment, and enrich data across your existing data pipelines using Confluent Cloud.

Data 97

Data Cloud 97

TechCrunch

NOVEMBER 12, 2021

They started Weflow in late 2020 to be a revenue workspace built on top of Saleforce’s database to help salespeople add information inside Salesforce records quickly and manage their pipeline. People want to create a solution that is more like Asana for pipeline management,” CEO Zech told TechCrunch. Weflow pipeline table.

Tools 197

Tools Video Development Groups 197

Prisma Clud

NOVEMBER 14, 2023

So while the Azure CLI doesn’t perform anything buggy, when executed in a pipeline with the echoed credentials stored in the pipeline’s log — we suddenly find ourselves in a “who should be able to read the logs” kind of problem. Eventually, we find ourselves with a pipeline emitting raw credentials to its log, similar to pattern 1.

Azure 143

Azure Software Review Report Tools 143

CIO

JULY 19, 2023

As software and data move to the center of a company’s products and services, the background and skills of the executive leadership team must evolve. And when software shifts from enabling the revenue stream to being the revenue stream, the focus of the chief technologist must expand from internal productivity to the external market.

Leadership 231

Leadership IoT Transportation Strategy 231

Perficient

FEBRUARY 1, 2024

AWS Glue is a serverless data integration service that simplifies the discovery, preparation, and movement of data for analytics, machine learning (ML), and application development. Run efficient Spark jobs: Leverage serverless Spark environments for data processing, eliminating the need to provision and manage clusters.

AWS 52

AWS Serverless IoT Windows 52