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 106

Windows Internet Open Source Storage 106

O'Reilly Media - Ideas

FEBRUARY 18, 2020

The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.). This follows a 3% drop in 2018.

Technical Review 145

Technical Review Microservices Data Engineering Architecture 145

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

Hacker Earth Developers Blog

NOVEMBER 27, 2023

This includes high-demand roles like Full stack- Django/React, Full stack- Django/Angular, Full stack- Django/Spring/ React, Full stack- Django/Spring/Angular, Data engineer, and DevOps engineer. We have 20 pre-defined roles available now, and we intend to add more to the stack.

Recruiting 130

Recruiting ChatGPT Windows Testing 130

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 218

Artificial Inteligence Artificial Intelligence Machine Learning Agile 218

Cloudera

SEPTEMBER 14, 2020

Everybody needs more data and more analytics, with so many different and sometimes often conflicting needs. Data engineers need batch resources, while data scientists need to quickly onboard ephemeral users. Meanwhile, some workloads hog resources making others miss defined agreements.

Cloud 111

Cloud Data Compliance Analytics 111

Xebia

MARCH 13, 2025

During development we use interactive notebooks and query historical data stored on a data lake or warehouse. All data is available, so creating stateful features using window functions is straight forward. We convert this logic to a batch pipelines when moving to production.

Training 130

Training Artificial Inteligence Machine Learning Data 130

Crunchbase News

JUNE 26, 2024

In the data layer its portfolio company Revifi is a copilot for data engineers. Chaddha ran Windows Media and was a peer of Microsoft’s CEO Satya Nadella. An investor since 2004, he witnessed the social, mobile and cloud computing waves that engineered new companies. In model safety it has invested in Securiti.

Artificial Intelligence 120

Artificial Intelligence Artificial Inteligence Generative AI Software Review 120

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate. Check out Windows Server On Linux Academy Cloud Playground if you haven’t already!

Azure 150

Azure Linux Technical Review Course 150

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 102

Architecture Innovation Data Open Source 102

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

AWS Machine Learning - AI

AUGUST 8, 2024

As long as the LookML file doesn’t exceed the context window of the LLM used to generate the final response, we don’t split the file into chunks and instead pass the file in its entirety to the embeddings model. The two subsets of LookML metadata provide distinct types of information about the data lake.

Artificial Inteligence 106

Artificial Inteligence Data Generative AI AWS 106

Linux Academy

MAY 7, 2019

Microsoft Certified Azure AI Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate ( Associate ). Microsoft Certified Azure Data Engineer Associate. Check out Windows Server On Linux Academy Cloud Playground if you haven’t already!

Azure 134

Azure Linux Technical Review Course 134

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 85

Training Course Exercises IoT 85

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 87

Windows Software Review Data Engineering 87

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 144

Sport Artificial Inteligence Coaching Games 144

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 144

Data Technical Review Software Review Testing 144

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 98

Cloud Artificial Inteligence Machine Learning Analytics 98

Xebia

JANUARY 22, 2025

. # Select first column value at the top and bottom of the dataset: head -n2 ~/Downloads/Open_Data_RDW_* | tail -n1 | cut -d, -f1 tail -n1 ~/Downloads/Open_Data_RDW_* | cut -d, -f1 # Output: # first: MR56LN # last: MR56LG Load the dataset in a spark session and create a temporary view to query the dataset. getOrCreate() print(spark.version) # 4.0.0-preview

Analytics 130

Analytics Storage Engineering Comparison 130

Cloudera

MAY 3, 2021

As businesses are moving more and more towards real-time data movement instead of hourly/daily batches, data bursts become more visible and less predictable mainly due to two reasons: Once the hourly/daily batch windows are removed, there’s nothing left that aggregates and averages out lows and peaks. Democratization of Data.

Scalability 103

Scalability Agile Data Systems Review 103

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 101

Windows Data Performance Data Engineering 101

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 78

Data Analytics Government Culture 78

AWS Machine Learning - AI

MARCH 18, 2025

It should look something like the following: [link] Choose Generate SQL query to open the chat window. With 7 years of experience in developing data solutions, he possesses profound expertise in data visualization, data modeling, and data engineering. Count of orders placed from India last month?

Artificial Inteligence 85

Artificial Inteligence Applications Generative AI Off-The-Shelf 85

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 93

Blockchain Data Technical Review Software Review 93

Cloudera

AUGUST 24, 2022

It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. Navigate to Runtime/Engine tab. Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform.

Artificial Inteligence 83

Artificial Inteligence Machine Learning Open Source Windows 83

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.

Artificial Inteligence 75

Artificial Inteligence Machine Learning Systems Review Big Data 75

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

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

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 82

Backup Cloud Architecture Resources 82

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

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 10

AWS DevOps Disaster Recovery Serverless 10

Cloudera

DECEMBER 14, 2020

Apache NiFi empowers data engineers to orchestrate data collection, distribution, and transformation of streaming data with capacities of over 1 billion events per second. . Apache Kafka helps data administrators and streaming app developers to buffer high volumes of streaming data for high scalability.

Analytics 71

Analytics Big Data Government Cloud 71

Cloudera

NOVEMBER 2, 2020

cleansing, feature engineering, CDC reconciliation) or for stream analytics (e.g. alert when threshold exceeded over a rolling window of statistics on the data, score the event data against a predictive model to decide which action to take next). Data Hub – . Data Hub – .

Data 97

Data Analytics Storage Big Data 97

Cloudera

APRIL 9, 2021

ETL jobs and staging of data often often require large amounts of resources. ETL is a data engineering task and should be offloaded onto a scale-out and more cost effective solution. . Similarly, operational data stores take up resources on a data warehouse. They too can be moved to a more cost effective platform.

Data 58

Data Software Review Technical Review Architecture 58

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