Perficient Data & Analytics

SEPTEMBER 7, 2018

One of the most frequently asked questions by our customers is the roadmap to deploying a Big Data Platform and becoming a truly data-driven enterprise. Just as you can’t build a house without a foundation, you can’t start down a big data path without first establishing groundwork for success. There are several key steps to prepare the organization to realize the benefits of a big data solution with both structured and unstructured data.

Big data 40

Big data Information architecture Authentication Data structuring 40

IBM Big Data Hub

SEPTEMBER 6, 2018

Imagine a searchable data management system that would enable you to review crowdsourced, categorized and classified data. Consider that this system would apply to all types of data — structured and unstructured — and become more robust as more users analyze it

Data structuring 61

Data structuring Government IT 61

Information Management Resources

FEBRUARY 25, 2019

The blockchain-based file and data structure could be used to reliably safeguard data in a clinical trials network. Blockchain Distributed ledger technology Data security

Data structuring 29

Data structuring Blockchain Security 29

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way.

Government 73

Government Cloud Metadata Data structuring 73

Security Affairs

JANUARY 4, 2020

The CVE-2019-5063 is a heap buffer overflow vulnerability that exists in the data structure persistence functionality of OpenCV 4.1.0. If the string does not match one of the strings in the switch statement, the data is instead copied to a buffer as is.” ” The CVE-2019-5064 vulnerability resides in the data structure persistence functionality of the same library and can be triggered by attackers using a specially crafted JSON file.

Libraries 57

Libraries Data structuring IT Information Security 57

AIIM

JULY 23, 2020

Data Quality Issues. Any migration involving unstructured data, that is, individual files, is bound to run into issues migrating certain file formats. Reports: Integrated systems may also be generating reports that rely on data from both/all systems involved. Data Quality Issues.

Metadata 95

Metadata ROT Data structuring Unstructured data 95

Reltio

JULY 30, 2020

Improved customer experience (CX) is a key driver in the digital economy, and having optimal multi-domain Master Data Management (MDM) is a core prerequisite for delivering great CX. Customer privacy and data protection settings and rights.

MDM 63

MDM Data structuring Privacy Customer Experience 63

Docuware

AUGUST 7, 2018

Avoiding Incorrect Entries – Defining Default Values – Immediate Forwarding of Collected Data – Structured Collection of Information – Available Anytime, Anywhere. Modern web forms not only simplify, enhance and accelerate data collection. They also help you work more efficiently and automate the flow of information, especially when coupled with workflows. Workflow DocuWare Forms Forms Management Human Resources DocuWare Kinetic Solutions Webform

Data structuring 20

Data structuring Data collection 20

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story.

Metadata 78

Metadata Digital transformation Data migration Compliance 78

Rocket Software

JUNE 1, 2020

During times of increased demand, the flexible data structures allow for high-performance data access, storage, and resource management capabilities. Rocket UniVerse’s flexible data structure and high-performance capabilities made this the logical solution to fulfill the client’s request. The global economy is beginning to restart slowly, with businesses opening and individuals returning to work.

Customer Experience 40

Customer Experience Sales Data structuring Retail 40

Thales eSecurity

OCTOBER 1, 2019

For example, the core “json” package converts JSON to Go structures yet does nothing to automate this process. If you have a large JSON document to consume, you’ll be writing the corresponding Go structures by hand. Thus to solve the problem above, I can turn to [link] , which automatically generates Go data structures that match a JSON document. The post We need to talk about Go appeared first on Data Security Blog | Thales eSecurity. Data security

Data structuring 95

Data structuring Encryption Cloud IT 95

Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. How many companies have separate solutions to manage structured (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.)? Can we look at both types of data in a single governance program?

Unstructured data 69

Unstructured data Metadata ROT Data structuring 69

Collibra

OCTOBER 15, 2020

Your organization has invested heavily in these systems, and they continuously generate valuable operational and transactional data. This data is essential to power analytics and support critical business decisions. Data Catalog

Metadata 67

Metadata Analytics Data structuring Marketing 67

Security Affairs

NOVEMBER 13, 2019

The flaw affects the Transactional Synchronization Extensions (TSX) feature in Intel processors, it could be exploited by a local attacker or a malicious code to steal sensitive data from the underlying operating system kernel. In the past months, security researchers devised several speculative -channel RIDL (Rogue In-Flight Data Load), Fallout, Microarchitectural Data Sampling ( MDS attacks ), and ZombieLoad.

Manufacturing 76

Manufacturing Data structuring Encryption Passwords 76

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. And it exists across these hybrid architectures in different formats: big and unstructured and traditional structured business data may physically sit in different places. Nine Steps to Data Modeling. Promote data literacy.

Metadata 56

Metadata Data structuring Analytics Big data 56

Schneier on Security

AUGUST 16, 2018

At a high level, SGX is a new feature in modern Intel CPUs which allows computers to protect users' data even if the entire system falls under the attacker's control. Attempts to read SGX data from outside an enclave receive special handling by the processor: reads always return a specific value (-1), and writes are ignored completely. Another speculative-execution attack against Intel's SGX.

Data structuring 59

Data structuring Privacy Access IT 59

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. As he put it, “We are describing our business process and we are trying to describe our data catalog. He further explained “that really helps too with when your data is up to date.

Metadata 62

Metadata Healthcare Libraries Data structuring 62

The Texas Record

OCTOBER 19, 2020

DVDs were considered long-lived at the time they came out, but the writable and rewritable disks are not permanent and are prone to lose data over time – in as little as 10 years! DVD video already uses video compression to reduce its data footprint.

Computer and Electronics 52

Computer and Electronics Digital preservation Archiving Retail 52

Perficient Data & Analytics

OCTOBER 31, 2019

OLAP is a technology to perform multi-dimensional analytics like reporting and data mining. Hadoop is a technology to perform massive computation on large data. They can be used together but there are differences when choosing between using Hadoop/MapReduce data processing versus classic OLAP. For transactions and data mining use OLAP. But, for analytics and data discovery use Hadoop. For unknown messier data/processes that yield suggestive results use Hadoop.

Mining 43

Mining Unstructured data Data structuring Big data 43

Security Affairs

MAY 7, 2020

The last instruction seen in Figure 8 is “ CBoard.Start ”, which works in the following way: Figure 12: Routine to steal the clipboard data. The malware steal a huge amount of data: Desktop Snapshot Sensitive Documents Webcam snapshot Filezilla credentials Pidgin credentials Discord Credentials Telegram Skype Steam Crypto Currencies Chrome chronology.

Data structuring 68

Data structuring Cybersecurity Marketing IT 68

Security Affairs

APRIL 16, 2020

This service also defines the data structure used and which stores information about the victim later sent to C2, as well as additional validations on the mobile device. The data is exfiltered and sent to C2 via an HTTP – POST request. Hackers are again attacking Portuguese banking organizations via Android Trojan-Banker.

Authentication 85

Authentication Phishing Data structuring Access 85

CGI

APRIL 22, 2019

Indeed, blockchain’s distributed data structure results in a significantly higher storage demand compared to traditional centralized databases. However, central systems often suffer from a lack of trust, resulting in “hidden” data silos and often additional labor costs. However, as all the parties have a stake in accurate data, each producer also keeps its own production records. Centralized data governance.

Energy and Utilities 56

Energy and Utilities Blockchain Data structuring Encryption 56

eDiscovery Daily

NOVEMBER 11, 2019

A data lake, that is. Leave it to Rob Robinson and his excellent Complex Discovery blog to provide links to several useful articles to help better understand data lakes and the potential they have to impact the business world (which, in turn, impacts the eDiscovery world). A data lake is an architecture for storing high-volume, high-velocity, high-variety, as-is data in a centralized repository for Big Data and real-time analytics.

Analytics 48

Analytics Metadata Big data Data structuring 48

AIIM

DECEMBER 19, 2019

This will definitely impact the timeline required to do the migration, as well as what happens to the source system and the data it contains. Technical Specialists: A migration could require technical support for the movement of data and questions about implementation and data structures. Determine the Value of the Information in the Source System: Does the source system store formal business records such as financial data, personnel files, contracts, etc.?

Metadata 53

Metadata Cleanup ROT Records Management 53

Perficient Data & Analytics

SEPTEMBER 27, 2018

To accomplish this, operational data has to be extracted and integrated. Integrating clinical data at this level of detail requires a (wait for it) monstrous effort. To satisfy these complex reporting and analysis requirements requires finding the needed data in many operating systems then merge it all together in a usable way. Lack of expertise in these areas can adversely affect the quality, accuracy and usability of a data warehouse.

Data structuring 41

Data structuring Sales Data collection Analytics 41

Interactive Information Management

MARCH 25, 2014

But that's what's happening all over, isn't it, driven by consumer demand on their iPhones - mashing and manipulating information that's managed to leak through the risk-adverse, highly-regulated mantle of the government's secure data cocoon, and instantly sharing it for further rendering, visualization or actual, productive use. enterprise architecture open data open government

Data structuring 43

Data structuring Government Risk Access 43

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. And then, the European Union’s General Data Protection Regulation (GDPR) took effect , with many organizations scrambling to become compliant. So what’s on the horizon for data governance in the year ahead?

Government 57

Government IoT Digital transformation Compliance 57

Perficient Data & Analytics

JULY 10, 2018

What if micro-targeting for example wasn’t just a dark marketing strategy that violated privacy but rather a basic framework for understanding how our master data relates to big data? This seems all but impossible in a SQL based environment with tables that struggle with large complex data. Meet graph data, the technical bridge to understanding the why in your master data. In a graph data model, the value is placed on the relationship rather than the fact.

Blockchain 40

Blockchain Data structuring Big data Marketing 40

Perficient Data & Analytics

DECEMBER 30, 2019

Oracle Analytics Cloud (OAC) is Oracle’s cloud-based platform for reporting, analytics, data exploration, and data visualization. This is great for data exploration and for departmental data marts where the underlying data structure is not too complex. It is also great for data science teams who need to review data quickly to determine its usefulness. I love this feature because using it makes you a better data analyst.

Analytics 40

Analytics Cloud Data science Data structuring 40

Perficient Data & Analytics

DECEMBER 30, 2019

Oracle Analytics Cloud (OAC) is Oracle’s cloud-based platform for reporting, analytics, data exploration and data visualization. This is great for data exploration and for departmental data marts where the underlying data structure is not too complex. It is also great for data science teams who need to review data quickly to determine its usefulness. I love this feature because using it makes you a better data analyst.

Analytics 40

Analytics Cloud Data science Data structuring 40

Collibra

FEBRUARY 7, 2020

Today, banks struggle to comply with BCBS-23 due to an inefficient data architecture within their organization. According to a study conducted by Mckinsey , having an inefficient data architecture is the number one challenge banks face when trying to comply with BCBS-23. In other words, the biggest challenge that banks face is pulling relevant information from complex data structures because data is stored in multiple data warehouses without a common data model.

Compliance 48

Compliance Risk Data structuring Marketing 48

Perficient Data & Analytics

FEBRUARY 17, 2019

Context – Bring data together from various web, cloud and on-premise data sources and rapidly drive insights. The biggest challenge Business Analysts and BI developers have is the need to ingest and process medium to large data sets on a regular basis. They spend the most time gathering the data rather than analyzing the data. Power BI Dataflow, the Azure Data Lake Storage Gen 2 makes this a very intuitive, and result based exercise.

Analytics 42

Analytics Metadata Data structuring Access 42

Perficient Data & Analytics

FEBRUARY 17, 2019

Context – Bring data together from various web, cloud and on-premise data sources and rapidly drive insights. The biggest challenge Business Analysts and BI developers have is the need to ingest and process medium to large data sets on a regular basis. They spend the most time gathering the data rather than analyzing the data. Power BI Dataflow, the Azure Data Lake Storage Gen 2 makes this a very intuitive, and result based exercise.

Analytics 40

Analytics Metadata Data structuring Access 40

John Battelle's Searchblog

DECEMBER 26, 2018

Instead of focusing on Facebook, which is structurally borked and hurtling toward Yahoo-like irrelevance, it’s time to focus on that mistake we made, and how we might address it. Bandwidth, responsive design, data storage, processing on demand, generously instrumented APIs; it was all coming together. Google united the Internet, codifying (and sharing) a data structure that everyone could build upon.

IT 74

IT Data structuring Marketing Paper 74

ForAllSecure

AUGUST 25, 2020

They’re all examples of ubiquitous data serialization and transmission standards, making them great targets for testing with fuzzing. While fuzzing has found many bugs in these kinds of targets, they all have requirements for structure in order for data to be considered “valid.” ” Handling these structure requirements intelligently is the key to finding the next level of bugs that others may have missed! Introduction.

Libraries 40

Libraries Data structuring Analytics IT 40

Data Protection Report

JUNE 25, 2019

There has been an odd preoccupation with cookies for some time now—to the exclusion of other forms of browser tracking, some of which are much more flexible and more robust in their data collection capabilities than cookies. However, HTML5 localStorage is more flexible form of persistent data storage in browsers (i.e. Unlike HTTP cookies, localStorage can store much larger quantities of data. Cookies Are One Piece of a Larger Puzzle.

Data structuring 40

Data structuring Data collection Authentication Education 40

Perficient Data & Analytics

FEBRUARY 26, 2019

According to Gartner, Augmented Analytics Is the future of Data and Analytics – the next disruption in Analytics and Business Intelligence. The first wave of disruption was 25-30 years ago, when organizations were building centralized data warehouse platforms. A data model was designed to fulfill a well-outlined set of business requirements. Similarly, data consolidation largely involved pulling data from ERP and CRM platforms, mostly relational table structures.

Analytics 41

Analytics Digital transformation Data structuring Marketing 41

Perficient Data & Analytics

APRIL 20, 2018

Cassandra is a distributed log-structured merge tree that provides a sorted map of sorted maps for data persistence. When you write data, the data is appended to a commit log on disk and then written to a memtable in RAM where its sorted and periodically flushed to an SSTable on disk. So while data is stored on disk on append logs, this is so efficient that performance advantages come from the CPU. Big Data Cassandra DataStax

Data structuring 48

Data structuring Paper IT Big data 48

Perficient Data & Analytics

AUGUST 2, 2017

Organizations are usually posed with the challenge of turning data into valuable insights. They realize the need for utilizing increasing amounts of “Big Data” in order to compete with other organizations in terms of efficiency, speed and service. The incredible growth of event data poses new challenges. As event logs grow, data processing techniques need to become more efficient and highly scalable. Fig 2 – Data cube :Slicing and Dicing. Introduction.

Sales 40

Sales Data structuring Marketing Access 40

Adam Levin

APRIL 8, 2019

Mobile apps send user data to Facebook (even for non-Facebook users): A study by Privacy International showed that several Android apps, including Yelp, Duolingo, Indeed, the King James Bible app, Qibla Connect, and Muslim Pro all transmit users’ personal data back to Facebook. Each of these services have, at a minimum, hundreds of millions of active users, all of them with different security protocols, data structures and network requirements.

Artificial Intelligence 40

Artificial Intelligence Privacy Passwords Systems administration 40