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 decided to move back to our own data center.

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 decided to move back to our own data center.

Data Center 100

Data Center Windows Data Engineering Engineering 100

Apps Associates

JULY 28, 2022

OCI Data Integration. Linux or Windows. Leverage data for AI/ML Data Science/ Big Data use cases. Especially when Non-Oracle DB type of data assets are involved. The following should be taken care prior to beginning the implementation steps to set up Data Integration below. Key Factors. Deployment.

Infrastructure 52

Infrastructure Cloud Data Linux 52

DataRobot

MARCH 10, 2022

With Snowflake’s newest feature release, Snowpark , developers can now quickly build and scale data-driven pipelines and applications in their programming language of choice, taking full advantage of Snowflake’s highly performant and scalable processing engine that accelerates the traditional data engineering and machine learning life cycles.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

AUGUST 19, 2022

Marketing departments can track how successful their campaigns perform, predict customer churn , and conduct sentiment analysis. Executives and managers can use the platform to monitor the overall company performance, discover important market trends, and run what-if scenarios to make most effective strategic decisions.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

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

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

TechCrunch

MAY 7, 2021

Given the multitude of variables at play, valuing these companies and then predicting public market performance is anything but straightforward. Image Credits: princessdlaf (opens in a new window) / Getty Images. Image Credits: anyaberkut (opens in a new window) / Getty Images. billion by 2026.

Fintech 246

Fintech Windows Healthcare Analytics 246

Cloudera

JUNE 15, 2021

We can run the quickstart environment, which is a Docker container we can run locally or within a pipeline, or we can install the dependencies on a Linux machine in our data center infrastructure. The Docker container includes all the required dependencies for local execution, and works on Linux, Windows or OSX.

Cloud 86

Cloud AWS Azure Linux 86

Existek

JANUARY 11, 2022

However, back in 2008, Microsoft hadn’t even imagined the impact building the new software platform, Windows Azure, would have made on the company’s future and its services. In 2010, they launched Windows Azure, the PaaS, positioning it as an alternative to Google App Engine and Amazon EC2. Read the article.

Azure 52

Azure AWS Cloud How To 52

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 142

Technical Review Microservices Data Engineering Architecture 142

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

Kentik

APRIL 4, 2023

When evaluating solutions, whether to internal problems or those of our customers, I like to keep the core metrics fairly simple: will this reduce costs, increase performance, or improve the network’s reliability? If a solution is cheap, it is probably not very performant or particularly reliable. Costs Redundancy isn’t cheap.

Network 104

Network Load Balancer Cloud Backup 104

High Scalability

NOVEMBER 12, 2019

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 9

Education Load Balancer System Design PHP 9

High Scalability

OCTOBER 29, 2019

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 8

Education Load Balancer System Design PHP 8

High Scalability

JANUARY 7, 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 8

Education Load Balancer PHP System Design 8

High Scalability

DECEMBER 12, 2019

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 8

Education Load Balancer PHP System Design 8

High Scalability

JANUARY 22, 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 9

Education PHP System Design Advertising 9

High Scalability

FEBRUARY 6, 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 8

Education PHP System Design Advertising 8

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 105

Architecture Innovation Data Open Source 105

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 85

Artificial Inteligence Machine Learning Open Source Windows 85

Netflix Tech

JULY 21, 2022

Specifically, if we are able to predict or analyze the Out of Memory kills, we can take device specific actions to pre-emptively lower the performance in favor of not crashing?—?aiming aiming to give the user the ultimate Netflix Experience within the “performance vs pre-emptive action” tradeoff limitations.

Artificial Inteligence 71

Artificial Inteligence Machine Learning Systems Review Big Data 71

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 92

Cloud Artificial Inteligence Machine Learning Analytics 92

OpenCredo

FEBRUARY 6, 2024

We wanted to avoid having to spend time writing a full application in order to test out the performance of RAG with these LLMs, so for Azure OpenAI we found a sample app on GitHub and for AWS Bedrock we used the Knowledge Base feature in AWS Bedrock which is a managed RAG implementation that comes with a simple UI in the AWS console for testing.

Artificial Inteligence 59

Artificial Inteligence Knowledge Base AWS Azure 59

TechCrunch

JUNE 17, 2021

” 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.” Transform is built around three basic priorities, Handel said.

Metrics 247

Metrics Tools Data Big Data 247

Cloudera

APRIL 9, 2021

A recent Harvard Business Review study confirmed that data is increasingly being spread across data centres, private clouds and public clouds. They warned data and analytics leaders to “prepare for the complexities of data management” calling out costs, performance and integration as top challenges. Source: [link].

Data 59

Data Software Review Technical Review Architecture 59

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

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. Development performance is boosted even more by available Python frameworks that provide pre-coded components. Another minimalistic framework focuses on building high-performance web APIs and app backends.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94

Altexsoft

OCTOBER 8, 2021

Whatever the use case, either ETL or ELT process is an integral part of data integration. They are applied to retrieve data from the source systems, perform transformations when necessary, and load it into a target system ( data mart , data warehouse, or data lake). On-premise data integration tools.

Tools 52

Tools Data Software Review Open Source 52