Cloudera

SEPTEMBER 10, 2021

The IRS has spent more than a decade working to combat high-cost hazards, including launching a collaborative Identity Theft Tax Refund Fraud Information Sharing and Analysis Center (ISAC) pilot for the 2017 tax-filing season, advancing authentication tools and taking proactive steps in fighting business identity theft.

Artificial Inteligence 71

Artificial Inteligence Machine Learning Artificial Intelligence Engineering 71

TechCrunch

OCTOBER 7, 2021

I hope the book helps anyone who wants to reach developers directly in an authentic way. If your customers are data engineers, it probably won’t make sense to discuss front-end web technologies. After ProgrammableWeb, I spent five years on the provider side in developer marketing roles. ” What does that mean?

Weak Development Team 231

Weak Development Team Software Development Marketing Technical Advisors 231

Cloudera

NOVEMBER 1, 2022

These systems also pose security risks, including the inability to use current security best practices, such as data encryption and multi-factor authentication, making these systems particularly vulnerable to malicious cyber activity.

Cloud 92

Cloud Government Storage Analytics 92

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 68

Open Source Analytics Software Review Metrics 68

InnovationM

FEBRUARY 1, 2024

401 Unauthorized: This status code indicates that the client needs to authenticate itself to access the requested resource. c) Security Related Test Cases: Authentication and Authorization : Authentication is the process of verifying who a user is, while authorization is the process of verifying what they can access.

Testing 52

Testing Software Review Authentication Resources 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

InnovationM

MAY 14, 2023

Technologies such as Apache Spark, an in-memory distributed computing framework, enable scalable and high-performance data processing. Spark supports various data operations, including batch and real-time processing, machine learning, and graph analytics.

Data 52

Data Storage Construction Business Intelligence 52

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 123

Artificial Inteligence Generative AI Security Applications 123

Openxcell

MAY 8, 2023

If you’re still in doubt about how to prevent data leakage, hire a big data engineer. Types of Data Leakage In the World of Data Security, there are many types of data leakage; it is crucial to understand that it can stem from internal or external sources.

Data 52

Data Software Review Technical Review Systems Review 52

TIBCO - Connected Intelligence

SEPTEMBER 22, 2020

The Amazon Redshift connector for Spotfire has been enhanced in all facets from authentication to point-and-click spectrum and geospatial support. It’s as if you were connecting to regular Redshift data tables.

AWS 48

AWS Analytics Cloud Analysis 48

Cloudera

SEPTEMBER 1, 2020

It is hard to believe if you have had previous experience with setting up, sizing, and deploying a distributed search engine service that this is possible. Solr is a standard and open source, commonly adopted text search engine with rich query APIs for performing analytics over text and other unstructured data.

Data 71

Data Backup Disaster Recovery Storage 71

Altexsoft

AUGUST 25, 2021

Internet search engines are wonderfully helpful when auto-filling our queries, language translation has never been more seamless and correct, and advanced grammar checks save our reputation when we’re sending emails. ML-based spam detection technologies can filter out spam emails from authentic ones with minimum errors. Spam detection.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

TIBCO - Connected Intelligence

JANUARY 8, 2021

Read this whitepaper by Mike Ferguson of Intelligent Business Strategies on how to accelerate your cloud migration with data virtualization. Keep Your Data Secure Data virtualization’s authentication and authorization security functions protect your data from improper use before, during, and after migration.

Virtualization 38

Virtualization Data Analytics Infrastructure 38

CIO

JULY 29, 2022

For example, if a data team member wants to increase their skills or move to a data engineer position, they can embark on a curriculum for up to two years to gain the right skills and experience. The bootcamp broadened my understanding of key concepts in data engineering.

Groups 234

Groups Security Development Programming 234

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup. Caveats ?:

Architecture 81

Architecture MVC Engineering Technology 81

Kentik

SEPTEMBER 11, 2015

FDW backends can be a surprisingly powerful tool when your data model isn’t classically relational but you still want all the nice things that come with PostgreSQL (aggregates, client libraries, authentication, group by, etc.). Once things are installed, create a new table by installing the FWD extension (actually a.so

Data 40

Data Authentication Data Engineering Scalability 40

Xebia

JULY 28, 2023

Setup the Azure Service Principal : We want to avoid Personal Tokens that are associated with a specific user as much as possible, so we will use a SP to authenticate dbt with Databricks. Now that we have our Databricks Workspace and SQL Warehouse instance configured, it is time to start dealing with authentication.

Cloud 130

Cloud Azure How To Windows 130

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

MAY 22, 2018

With Models, data scientists can simply select a Python or R function within a project file, and Cloudera Data Science Workbench will: create a snapshot of model code, saved model parameters, and dependencies. Previous CDSW releases offered LDAP and SAML authentication but allowed every user to log in.

Data 42

Data Load Balancer Machine Learning Artificial Inteligence 42

Cloudera

DECEMBER 15, 2022

Compute engines in these CDP data services can access and process data sets in the Iceberg tables concurrently, with shared security and governance provided by our unique Cloudera Shared Data Experience ( SDX ). The following SDX security controls are inherited from your CDP environment: Authentication.

Cloud 82

Cloud Data Analytics Machine Learning 82

Cloudera

OCTOBER 29, 2020

From our release of advanced production machine learning features in Cloudera Machine Learning, to releasing CDP Data Engineering for accelerating data pipeline curation and automation; our mission has been to constantly innovate at the leading edge of enterprise data and analytics.

Data 114

Data Machine Learning Artificial Inteligence Analytics 114

Netflix Tech

JUNE 6, 2022

Our customers are product and engineering teams at Netflix that build these software services and platforms. Our goal is to manage security risks to Netflix via clear, opinionated security guidance, and by providing risk context to Netflix engineering teams to make pragmatic risk decisions at scale.

Software Review 70

Software Review Software Engineering Scalability Engineering 70

Cloudera

JULY 11, 2023

Apache Impala is a distributed C++ backed SQL engine that integrates with Kudu to serve BI results over millions of rows meeting sub-second service-level agreements. Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor.

Data 73

Data Virtualization Pharmaceuticals Storage 73

Kentik

MAY 16, 2016

Kentik Detect™ is a powerful solution that ingests and stores large volumes of network data on a per device, per customer basis. The data is stored in the Kentik Data Engine™, a timeseries database that unifies flow records (NetFlow v5/9, IPFIX, sFlow) with BGP, Geo-IP, and SNMP.

PHP 40

PHP Metrics Network Data 40

DataRobot

MARCH 16, 2023

The DataRobot team has been working hard on new integrations that make data scientists more agile and meet the needs of enterprise IT, starting with Snowflake. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Data 52

Data Machine Learning Artificial Inteligence Agile 52

Netflix Tech

SEPTEMBER 10, 2024

Once they receive the voice command, we allow them to make an authenticated call through apiproxy , our streaming edge proxy, to our internal voice service. KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs.

Systems Review 92

Systems Review Software Review Technical Review Policies 92

AWS Machine Learning - AI

SEPTEMBER 3, 2024

Seamless integration with SageMaker – As a built-in feature of the SageMaker platform, the EMR Serverless integration provides a unified and intuitive experience for data scientists and engineers. By unlocking the potential of your data, this powerful integration drives tangible business results.

Serverless 90

Serverless AWS Artificial Inteligence Big Data 90

AWS Machine Learning - AI

AUGUST 14, 2024

However, extracting valuable insights from the vast amount of data stored in ServiceNow often requires manual effort and building specialized tooling. Refer to ServiceNow data source connector field mappings documentation for more information. Lakshmi Dogiparti is a is a Software Development Engineer at Amazon Web Services.

Generative AI 92

Generative AI Artificial Inteligence AWS Technical Review 92

O'Reilly Media - Ideas

JANUARY 25, 2024

Prompt engineering, which didn’t exist in 2022, became a significant topic, with roughly the same usage as Transformers. However you want to read the data, this is AI’s big year, largely due to the GPT models and the idea of generative AI. Designing enterprise-scale data storage systems is a core part of data engineering.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?—?in Not so, any more.

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8

Altexsoft

JULY 29, 2022

What happens, when a data scientist, BI developer , or data engineer feeds a huge file to Hadoop? Under the hood, the framework divides a chunk of Big Data into smaller, digestible parts and allocates them across multiple commodity machines to be processed in parallel. How data engineering works under the hood.

Big Data 59

Big Data Data Google Cloud Open Source 59

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Data 80

Data Software Review Weak Development Team Systems Review 80

TechCrunch

MAY 7, 2021

Organizations that have not started on their analytics journey or are spending scarce data engineer resources to resolve issues with analytics implementations are not identifying actionable data insights. To buy time for a failing startup, recreate the engineering process. billion by 2026. billion.

Fintech 246

Fintech Windows Healthcare Analytics 246

Palo Alto Networks

AUGUST 23, 2021

Almost all cyber attacks involve compromised identities, which is why analyzing user authentication and access is critical to stopping attacks early in their lifecycle. Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source.

Cloud 91

Cloud Machine Learning Artificial Inteligence Analytics 91

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 73

Analytics Big Data Government Cloud 73

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. Data sources and destinations. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69