CIO

JUNE 6, 2023

On the other hand, a business that needs efficiency to scale may be better served by a central team that provides functions like data governance, platform engineering, architecture, and data engineering to all areas of the business. Heavily regulated industries tend to centralize.

Data 130

Data Analytics Government Culture 130

Tenable

JANUARY 11, 2022

Microsoft Windows Codecs Library. Windows Hyper-V. Tablet Windows User Interface. Windows Account Control. Windows Active Directory. Windows AppContracts API Server. Windows Application Model. Windows BackupKey Remote Protocol. Windows Bind Filter Driver. Windows Certificates.

Windows 105

Windows Internet Open Source Storage 105

Netflix Tech

NOVEMBER 20, 2023

Data Accuracy: Late arriving data causes datasets processed in the past to become incomplete and as a result inaccurate. To compensate for that, ETL workflows often use a lookback window, based on which they reprocess the data in that certain time window. data arrives too late to be useful).

Windows 84

Windows Software Review Data Engineering 84

TechCrunch

MAY 7, 2021

Image Credits: princessdlaf (opens in a new window) / Getty Images. Image Credits: anyaberkut (opens in a new window) / Getty Images. With an increasing number of enterprise systems, growing teams, a rising proliferation of the web and multiple digital initiatives, companies of all sizes are creating loads of data every day.

Fintech 246

Fintech Windows Healthcare Analytics 246

CIO

APRIL 12, 2023

Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. Real-time AI involves processing data for making decisions within a given time frame.

Artificial Inteligence 348

Artificial Inteligence Artificial Intelligence Machine Learning Agile 348

Xebia

JULY 28, 2023

This will open a new window. A new window will open. A new window will open, where we can search for our Service Principal and add the permission Can Use. We will first navigate to the Data page, select the appropriate catalog (default is hive_metastore ), select the Permissions tab and click on Grant.

Cloud 130

Cloud Azure How To Windows 130

CIO

APRIL 3, 2023

The organization now has data engineers, data scientists, and is investing in cutting-edge technologies like quantum computing. “In That was a big change for the organization because we are a seasonal business and our opportunity to generate revenue is limited in a window. That was a large move.

Sport 202

Sport Artificial Inteligence Coaching Games 202

Netflix Tech

NOVEMBER 14, 2023

Since this ETL operates in stateful mode, the data in the target table from hours 5 to 7 will be overwritten with the new data. By focusing solely on updates and avoiding reprocessing of data based on a fixed lookback window, both Stateless and Stateful Data Processing maintain a minimal change footprint.

Windows 97

Windows Data Performance Data Engineering 97

TechCrunch

NOVEMBER 28, 2022

Image Credits: V7 Labs (opens in a new window). Investors think that the framework that V7 is building might potentially change how data is ingested by those enterprises in the future. “This is where V7’s AI Data Engine shines. “We are instead working for actual applications,” he said.

Training 240

Training Data Technical Review Artificial Inteligence 240

TechCrunch

JANUARY 20, 2022

Today it’s Prophecy raising $25 million for its “low-code data engineering platform.”. Image Credits: DigtialStorm (opens in a new window) / Getty Images. When TechCrunch covered the Softr round the other day , we asked internally what had happened to all the no-code rounds. Well, here they are.

Software Review 218

Software Review Technical Review VR Games 218

TechCrunch

JUNE 17, 2021

” The tool Airbnb built was Minerva , optimised specifically for the kinds of questions Airbnb might typically have for its own data. ” Image Credits: Transform (opens in a new window). ” Instead, we now embrace — as Mayfield put it — “If you can’t measure it, you can’t move it.”

Metrics 247

Metrics Tools Data Big Data 247

Netflix Tech

JULY 21, 2022

Since memory management is not something one usually associates with classification problems, this blog focuses on formulating the problem as an ML problem and the data engineering that goes along with it. Some nuances while creating this dataset come from the on-field domain knowledge of our engineers.

Machine Learning 71

Machine Learning Artificial Inteligence Systems Review Big Data 71

Cloudera

FEBRUARY 1, 2024

Moreover, it is a period of dynamic adaptation, where documentation and operational protocols will adapt as your data and technology landscape change. This functionality allows our customers to run periodic backups or as needed during business hours and maintenance windows. How does Cloudera support Day 2 operations?

Backup 81

Backup Cloud Architecture Resources 81

Confluent

JULY 11, 2019

This project approach means that students first start with the building blocks of streams and tables and then proceed onto advanced KSQL areas, such as topic rekeying, data encoding (CSV, JSON, and Avro), stream merging, and time-based windowing.

Training 83

Training Course Exercises IoT 83

Palo Alto Networks

AUGUST 23, 2021

also delivers endpoint detection and response (EDR)-level protection for cloud assets, including Windows and Linux virtual machines and Kubernetes containers. Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source. With Cortex XDR 3.0

Cloud 89

Cloud Machine Learning Artificial Inteligence Analytics 89

Erik Bernhardsson

DECEMBER 19, 2014

I was talking with some data engineers at Spotify and had a moment of nostalgia. I was writing my master’s thesis at Spotify and had to run a Hadoop job to extract some data from the logs. Finally I realized the problem was the sun was shining in through the window. We had a fan running in the room but it wasn’t helping.

Data Center 100

Data Center Windows Data Engineering Engineering 100

Erik Bernhardsson

DECEMBER 19, 2014

I was talking with some data engineers at Spotify and had a moment of nostalgia. I was writing my master’s thesis at Spotify and had to run a Hadoop job to extract some data from the logs. Finally I realized the problem was the sun was shining in through the window. We had a fan running in the room but it wasn’t helping.

Data Center 100

Data Center Windows Data Engineering Engineering 100

Netflix Tech

DECEMBER 3, 2022

alias("view_hours")) ) window = Window.partitionBy( "country_code" ).orderBy(col("view_hours").desc()) over(window) ) ranked_viewing_by_title_country.filter( col("title_rank") <= 100 ).withColumn( filter(col("date") == date).filter("title_id agg(F.sum("view_hours").alias("view_hours"))

Data 143

Data Technical Review Software Review Testing 143

Kentik

APRIL 4, 2023

However, arriving at specs for other aspects of network performance requires extensive monitoring, dashboarding, and data engineering to unify this data and help make it meaningful. Direct business demands like SLAs (service level agreements) help define firm boundaries for network performance.

Network 104

Network Load Balancer Cloud Backup 104

Apps Associates

JULY 28, 2022

OCI Data Integration. Linux or Windows. OCI Data Integration Vision: Important steps to perform before setting up OCI DI Workspace: In order to ensure OCI DI Workspace is set up correctly and providing the most benefits, I recommend provisioning Data Integration service as outlined below. Key Factors. ODI Marketplace.

Infrastructure 52

Infrastructure Cloud Data Linux 52

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Progress

DECEMBER 30, 2019

AWS Amplify is a good choice as a development platform when: Your team is proficient with building applications on AWS with DevOps, Cloud Services and Data Engineers. You’re developing a greenfield application that doesn’t require any external data or auth systems. You have existing backend services developed on AWS.

AWS 52

AWS DevOps Disaster Recovery Serverless 52

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

OpenCredo

FEBRUARY 6, 2024

Claude V2 is perfectly capable of coping with larger chunk sizes, since its context window can be as large as 100k tokens. Additionally, the larger the chunk size the fewer chunks can be presented to the LLM for the generation step before filling its context window. This blog is written exclusively by the OpenCredo team.

Artificial Inteligence 59

Artificial Inteligence Knowledge Base AWS Azure 59

Confluent

JUNE 7, 2019

The Confluent Platform is an amazing toolbox, which every architect and data engineer should know of and utilize. Why does on-chain data matter? When forks happen, we usually see two forks, but sometimes up to four forks in a six-confirmation time window. He’s familiar with batch processing tasks in Spark and Flink.

Blockchain 92

Blockchain Data Technical Review Software Review 92

High Scalability

MARCH 17, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 42

Education PHP System Design Advertising 42

High Scalability

MARCH 3, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Research 45

Research Education Video PHP 45

High Scalability

FEBRUARY 18, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Research 45

Research Education Video PHP 45

High Scalability

APRIL 14, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 42

Education System Design Scalability Software Engineering 42

High Scalability

MAY 12, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 41

Education System Design Scalability Software Engineering 41

High Scalability

MARCH 24, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 42

Education Software Engineering PHP System Design 42

High Scalability

FEBRUARY 9, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Research 43

Research Education Video PHP 43

High Scalability

APRIL 28, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 41

Education System Design Scalability Software Engineering 41

Kentik

JUNE 19, 2017

As N increases, the flow records derived from the samples may become less representative of the actual traffic, especially of low-volume flows over short time-windows. The unsummarized flow data is ingested in real time into the Kentik Data Engine (our scale-out backend) where it’s ready for ad hoc analytics and visualization.

Testing 40

Testing Network Windows Big Data 40

Altexsoft

SEPTEMBER 28, 2021

It’ll make using of Python better for sure (and not just on Windows),” promised the Dutch programmer in his tweet. Python is platform-agnostic: You can run the same source code across operating systems, be it macOS, Windows, or Linux. There are options for Windows, Linux/UNIX, macOS, and other platforms.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

High Scalability

MARCH 30, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 42

Education System Design Software Engineering PHP 42

High Scalability

MAY 26, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 40

Education System Design AWS Scalability 40